This Robo Eye Doctor May Help Patients With Diabetes Keep Sight
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Farr","firstName":"Christina","lastName":"Farr","slug":"cfarr","email":"cfarr@kqed.org","display_author_email":false,"staff_mastheads":[],"title":null,"bio":"Christina Farr (\u003ca href=\"https://twitter.com/chrissyfarr\">@chrissyfarr\u003c/a>) is the former editor and host of Future of You. She was previously with Reuters, covering digital health and Apple and before that, she reported for Venture Beat. Christina was born and raised in London and has graduate degrees from University of London and the Stanford School of Journalism. Farr’s work has appeared in a variety of publications, including the New York Times, the Daily Telegraph, the Bay Citizen and SFGate.com. She has appeared as a featured expert on NBC, ABC and Reuters TV, among others, and frequently speaks at health and technology conferences. She is also co-founder of Ladies Who Vino, a networking group for women in technology and business.","avatar":"https://secure.gravatar.com/avatar/22c63869a7901c61c15e204391c1261d?s=600&d=blank&r=g","twitter":null,"facebook":null,"instagram":null,"linkedin":null,"sites":[{"site":"futureofyou","roles":["administrator"]},{"site":"stateofhealth","roles":["author"]},{"site":"science","roles":["editor"]}],"headData":{"title":"Christina Farr | KQED","description":null,"ogImgSrc":"https://secure.gravatar.com/avatar/22c63869a7901c61c15e204391c1261d?s=600&d=blank&r=g","twImgSrc":"https://secure.gravatar.com/avatar/22c63869a7901c61c15e204391c1261d?s=600&d=blank&r=g"},"isLoading":false,"link":"/author/cfarr"}},"breakingNewsReducer":{},"campaignFinanceReducer":{},"firebase":{"requesting":{},"requested":{},"timestamps":{},"data":{},"ordered":{},"auth":{"isLoaded":false,"isEmpty":true},"authError":null,"profile":{"isLoaded":false,"isEmpty":true},"listeners":{"byId":{},"allIds":[]},"isInitializing":false,"errors":[]},"navBarReducer":{"navBarId":"home","fullView":true,"showPlayer":false},"navMenuReducer":{"menus":[{"key":"menu1","items":[{"name":"News","link":"/","type":"title"},{"name":"Politics","link":"/politics"},{"name":"Science","link":"/science"},{"name":"Education","link":"/educationnews"},{"name":"Housing","link":"/housing"},{"name":"Immigration","link":"/immigration"},{"name":"Criminal Justice","link":"/criminaljustice"},{"name":"Silicon Valley","link":"/siliconvalley"},{"name":"Forum","link":"/forum"},{"name":"The California Report","link":"/californiareport"}]},{"key":"menu2","items":[{"name":"Arts & Culture","link":"/arts","type":"title"},{"name":"Critics’ Picks","link":"/thedolist"},{"name":"Cultural Commentary","link":"/artscommentary"},{"name":"Food & Drink","link":"/food"},{"name":"Bay Area Hip-Hop","link":"/bayareahiphop"},{"name":"Rebel Girls","link":"/rebelgirls"},{"name":"Arts Video","link":"/artsvideos"}]},{"key":"menu3","items":[{"name":"Podcasts","link":"/podcasts","type":"title"},{"name":"Bay Curious","link":"/podcasts/baycurious"},{"name":"Rightnowish","link":"/podcasts/rightnowish"},{"name":"The Bay","link":"/podcasts/thebay"},{"name":"On Our Watch","link":"/podcasts/onourwatch"},{"name":"Mindshift","link":"/podcasts/mindshift"},{"name":"Consider This","link":"/podcasts/considerthis"},{"name":"Political Breakdown","link":"/podcasts/politicalbreakdown"}]},{"key":"menu4","items":[{"name":"Live Radio","link":"/radio","type":"title"},{"name":"TV","link":"/tv","type":"title"},{"name":"Events","link":"/events","type":"title"},{"name":"For Educators","link":"/education","type":"title"},{"name":"Support KQED","link":"/support","type":"title"},{"name":"About","link":"/about","type":"title"},{"name":"Help Center","link":"https://kqed-helpcenter.kqed.org/s","type":"title"}]}]},"pagesReducer":{},"postsReducer":{"stream_live":{"type":"live","id":"stream_live","audioUrl":"https://streams.kqed.org/kqedradio","title":"Live Stream","excerpt":"Live Stream information currently unavailable.","link":"/radio","featImg":"","label":{"name":"KQED Live","link":"/"}},"stream_kqedNewscast":{"type":"posts","id":"stream_kqedNewscast","audioUrl":"https://www.kqed.org/.stream/anon/radio/RDnews/newscast.mp3?_=1","title":"KQED Newscast","featImg":"","label":{"name":"88.5 FM","link":"/"}},"futureofyou_27622":{"type":"posts","id":"futureofyou_27622","meta":{"index":"posts_1591205157","site":"futureofyou","id":"27622","score":null,"sort":[1440091922000]},"guestAuthors":[],"slug":"this-robo-eye-doctor-may-help-patients-with-diabetes-keep-sight","title":"This Robo Eye Doctor May Help Patients With Diabetes Keep Sight","publishDate":1440091922,"format":"standard","headTitle":"Diabetes Management | KQED Future of You | KQED Science","labelTerm":{"term":308,"site":"futureofyou"},"content":"\u003cp>Would you trust an algorithm to make a medical diagnosis?\u003c/p>\n\u003cp>In the past six months, hundreds of the most talented data scientists from all over the world\u003ca href=\"https://www.kaggle.com/c/diabetic-retinopathy-detection\"> \u003c/a>\u003ca href=\"https://www.kaggle.com/c/diabetic-retinopathy-detection\">entered a competition\u003c/a>, sponsored by the \u003ca href=\"http://www.chcf.org/\">California Healthcare Foundation\u003c/a>, to build just such an algorithm. The winner, Benjamin Graham, a professor of statistics from the University of Warwick, developed a computer program that rivaled human experts in identifying signs of diabetic retinopathy from an eye scan.\u003c/p>\n\u003cp>Health experts say this could have major implications for the 347 million people who have diabetes worldwide. Diabetic retinopathy affects 40 to 45 percent of people with diabetes. Without treatment, it often leads to severe vision loss. Early detection can make a huge difference, and an algorithm could step in where resources are scarce.\u003c/p>\n\u003caside class=\"pullquote alignright\">\"At some point in the near future we’ll be limited less by what technology can do and more by people’s willingness to trust it.”\u003ccite>Anthony Goldbloom,\u003cbr>\nCEO, Kaggle\u003c/cite>\u003c/aside>\n\u003cp>\"There has been this dream in our community to develop an algorithm that can read images of the retina,\" said Jorge Cuadros. He's a clinical professor in the department of optometry at the University of California, Berkeley, and the CEO of \u003ca href=\"https://www.eyepacs.org/home\">Eyepacs\u003c/a>, a clinical application for exchanging eye-related information. Cuadros has been exploring algorithms and their utility for diabetic retinopathy for more than a decade.\u003c/p>\n\u003cp>According to Cuadros, connecting patients with diabetes to the right treatment has proven to be an ongoing public health challenge, particularly in rural and low-income communities. Among other things, he added, a computer algorithm could do the vital work of \"triaging\" by prioritizing the patients most at risk of the disease, when there's a giant pile of eye scans.\u003c/p>\n\u003cp>[ad fullwidth]\u003c/p>\n\u003cp>The algorithm could also help human specialists avoid making mistakes. Graham's winning algorithm had an \"agreement rate\" that was roughly 10 percent higher than a human-only approach. What this means is that the algorithm and a human expert were more likely to agree on a diagnosis than two human experts.\u003c/p>\n\u003cp>\"At some point in the near future we'll be limited less by what technology can do and more by people's willingness to trust it,\" said Anthony Goldbloom, cofounder and CEO of \u003ca href=\"https://www.kaggle.com\">Kaggle\u003c/a>, a San Francisco-based web startup that hosted the competition.\u003c/p>\n\u003cp>\u003cstrong style=\"line-height: 1.5\">Smarter than Humans \u003c/strong>\u003c/p>\n\u003cp>Cuadros had his doubts when he initially learned about the competition, which kicked off in February of this year.\u003c/p>\n\u003cfigure id=\"attachment_28014\" class=\"wp-caption alignright\" style=\"max-width: 800px\">\u003ca href=\"http://ww2.kqed.org/futureofyou/wp-content/uploads/sites/13/2015/08/goldbloom.jpg\">\u003cimg class=\"size-medium wp-image-28014\" src=\"http://ww2.kqed.org/futureofyou/wp-content/uploads/sites/13/2015/08/goldbloom-800x600.jpg\" alt=\"Anthony Goldbloom is cofounder and CEO of Kaggle.\" width=\"800\" height=\"600\" srcset=\"https://ww2.kqed.org/app/uploads/sites/13/2015/08/goldbloom-800x600.jpg 800w, https://ww2.kqed.org/app/uploads/sites/13/2015/08/goldbloom-400x300.jpg 400w, https://ww2.kqed.org/app/uploads/sites/13/2015/08/goldbloom-1180x885.jpg 1180w, https://ww2.kqed.org/app/uploads/sites/13/2015/08/goldbloom-1920x1440.jpg 1920w, https://ww2.kqed.org/app/uploads/sites/13/2015/08/goldbloom-960x720.jpg 960w\" sizes=\"(max-width: 800px) 100vw, 800px\">\u003c/a>\u003cfigcaption class=\"wp-caption-text\">Anthony Goldbloom is cofounder and CEO of Kaggle. \u003ccite>(Christina Farr/KQED)\u003c/cite>\u003c/figcaption>\u003c/figure>\n\u003cp>\"I wondered whether an algorithm could be as good as a human,\" he said.\u003c/p>\n\u003cp>But a new wave of tools had emerged in recent years that use sophisticated machine-learning technology for medical diagnosis. In recent years, startups like \u003ca href=\"http://www.enlitic.com/\">Entilic\u003c/a> and \u003ca href=\"https://www.cellscope.com/\">Cellscope\u003c/a> have developed sophisticated technology to find signs of diseases like cancer from patients' medical images.\u003c/p>\n\u003cp>So Cuadros, through his work at Eyepacs, agreed to provide thousands of anonymous eye scans to the data scientists. These images had already been graded by one or more human experts as sight-threatening or not.\u003c/p>\n\u003cp>Graham differentiated between the scans by leveraging neural networks, a branch of machine-learning that teaches a computer to map the function of the brain. \"The winner applied this technique to develop the algorithm in ways that would not have been possible five years ago,\" said Goldbloom.\u003c/p>\n\u003cp>According to Cuadros, human specialists get it right about 90 percent of the time. The error rate is in often due to tiredness or problems with the quality of the image.\u003c/p>\n\u003cp>\"What was so amazing is that there was a very high correlation between the algorithm and the human experts,\" Cuadros said. \"But when there was a disagreement, sometimes the algorithm got it right and the humans were wrong.\"\u003c/p>\n\u003cp>\u003cstrong>What's Next for the Algorithm?\u003c/strong>\u003c/p>\n\u003cp>New programs have \u003ca href=\"http://www.chcf.org/projects/2009/diabetic-retinopathy-screening\">p\u003c/a>\u003ca href=\"http://www.chcf.org/projects/2009/diabetic-retinopathy-screening\">opped up\u003c/a> in rural parts of California in recent years to incorporate screening into primary care visits, with results interpreted remotely by ophthalmologists via an eye scan. One immediate use for the algorithm is to notify photographers in real-time whether they need to retake the image.\u003c/p>\n\u003cfigure id=\"attachment_28015\" class=\"wp-caption alignright\" style=\"max-width: 398px\">\u003cimg class=\" wp-image-28015\" src=\"http://ww2.kqed.org/futureofyou/wp-content/uploads/sites/13/2015/08/Blausen_0312_DiabeticRetinopathy-800x600.png\" alt=\"An illustration depicting diabetic retinopathy\" width=\"398\" height=\"299\" srcset=\"https://ww2.kqed.org/app/uploads/sites/13/2015/08/Blausen_0312_DiabeticRetinopathy-800x600.png 800w, https://ww2.kqed.org/app/uploads/sites/13/2015/08/Blausen_0312_DiabeticRetinopathy-400x300.png 400w, https://ww2.kqed.org/app/uploads/sites/13/2015/08/Blausen_0312_DiabeticRetinopathy-960x720.png 960w, https://ww2.kqed.org/app/uploads/sites/13/2015/08/Blausen_0312_DiabeticRetinopathy.png 1024w\" sizes=\"(max-width: 398px) 100vw, 398px\">\u003cfigcaption class=\"wp-caption-text\">An illustration depicting diabetic retinopathy ne immediate use for the algorithm is to notify photographers or clinicians when they should retake the eye-scan in real-time. \u003ccite>( Blausen.com staff / Wikiversity Journal of Medicine )\u003c/cite>\u003c/figcaption>\u003c/figure>\n\u003cp>But it remains to be seen whether the algorithm will make its way into clinical practice as a diagnostic tool that will replace or support human specialists. The next step is a more formal clinical trial to convince other decision-makers in the medical community. The trial will include 1,000 patients and will kick off later in the year.\u003c/p>\n\u003cp>Cuadros hopes the algorithm may ultimately prove useful in places where \"virtually zero percent of patients with diabetes get retinal exams.\" In North Africa, for instance, nonprofit groups are leveraging telemedicine services so providers anywhere in the world can look at people's eye scans. But the limiting factor is that a high-quality Internet connection is required. \"In future, these clinics would only need the algorithm and an inexpensive retinal camera,\" he said.\u003c/p>\n\u003cp>Globally, the algorithm could potentially alert a human specialist to look more closely at one scan over another. It may also be useful in nudging primary care providers when a patient needs to see a retinal specialist immediately, rather than a regular eye doctor.\u003c/p>\n\u003cp>\u003c/p>\n\u003cp>The regulatory climate is far more tricky in the U.S., Cuadros said, as there are barriers to computers performing eye exams without a human specialist present. \"Unless this policy changes,\" he said, \"there will be fewer incentives for clinics to rely on the algorithm.\"\u003c/p>\n\n","blocks":[],"excerpt":"Some of the world's most talented data scientists participated in a competition to develop a computer program that could identify signs of diabetic retinopathy from an eye scan.","status":"publish","parent":0,"modified":1477279838,"stats":{"hasAudio":false,"hasVideo":false,"hasChartOrMap":false,"iframeSrcs":[],"hasGoogleForm":false,"hasGallery":false,"hasHearkenModule":false,"hasPolis":false,"paragraphCount":23,"wordCount":1006},"headData":{"title":"This Robo Eye Doctor May Help Patients With Diabetes Keep Sight | KQED","description":"Some of the world's most talented data scientists participated in a competition to develop a computer program that could identify signs of diabetic retinopathy from an eye scan.","ogTitle":"","ogDescription":"","ogImgId":"","twTitle":"","twDescription":"","twImgId":"","schema":{"@context":"http://schema.org","@type":"Article","headline":"This Robo Eye Doctor May Help Patients With Diabetes Keep Sight","datePublished":"2015-08-20T17:32:02.000Z","dateModified":"2016-10-24T03:30:38.000Z","image":"https://cdn.kqed.org/wp-content/uploads/2020/02/KQED-OG-Image@1x.png"}},"disqusIdentifier":"27622 http://ww2.kqed.org/futureofyou/?p=27622","disqusUrl":"https://ww2.kqed.org/futureofyou/2015/08/20/this-robo-eye-doctor-may-help-patients-with-diabetes-keep-sight/","disqusTitle":"This Robo Eye Doctor May Help Patients With Diabetes Keep Sight","path":"/futureofyou/27622/this-robo-eye-doctor-may-help-patients-with-diabetes-keep-sight","audioTrackLength":null,"parsedContent":[{"type":"contentString","content":"\u003cdiv class=\"post-body\">\u003cp>\u003cp>Would you trust an algorithm to make a medical diagnosis?\u003c/p>\n\u003cp>In the past six months, hundreds of the most talented data scientists from all over the world\u003ca href=\"https://www.kaggle.com/c/diabetic-retinopathy-detection\"> \u003c/a>\u003ca href=\"https://www.kaggle.com/c/diabetic-retinopathy-detection\">entered a competition\u003c/a>, sponsored by the \u003ca href=\"http://www.chcf.org/\">California Healthcare Foundation\u003c/a>, to build just such an algorithm. The winner, Benjamin Graham, a professor of statistics from the University of Warwick, developed a computer program that rivaled human experts in identifying signs of diabetic retinopathy from an eye scan.\u003c/p>\n\u003cp>Health experts say this could have major implications for the 347 million people who have diabetes worldwide. Diabetic retinopathy affects 40 to 45 percent of people with diabetes. Without treatment, it often leads to severe vision loss. Early detection can make a huge difference, and an algorithm could step in where resources are scarce.\u003c/p>\n\u003caside class=\"pullquote alignright\">\"At some point in the near future we’ll be limited less by what technology can do and more by people’s willingness to trust it.”\u003ccite>Anthony Goldbloom,\u003cbr>\nCEO, Kaggle\u003c/cite>\u003c/aside>\n\u003cp>\"There has been this dream in our community to develop an algorithm that can read images of the retina,\" said Jorge Cuadros. He's a clinical professor in the department of optometry at the University of California, Berkeley, and the CEO of \u003ca href=\"https://www.eyepacs.org/home\">Eyepacs\u003c/a>, a clinical application for exchanging eye-related information. Cuadros has been exploring algorithms and their utility for diabetic retinopathy for more than a decade.\u003c/p>\n\u003cp>According to Cuadros, connecting patients with diabetes to the right treatment has proven to be an ongoing public health challenge, particularly in rural and low-income communities. Among other things, he added, a computer algorithm could do the vital work of \"triaging\" by prioritizing the patients most at risk of the disease, when there's a giant pile of eye scans.\u003c/p>\n\u003cp>\u003c/p>\u003c/div>","attributes":{"named":{},"numeric":[]}},{"type":"component","content":"","name":"ad","attributes":{"named":{"label":"fullwidth"},"numeric":["fullwidth"]}},{"type":"contentString","content":"\u003cdiv class=\"post-body\">\u003cp>\u003c/p>\n\u003cp>The algorithm could also help human specialists avoid making mistakes. Graham's winning algorithm had an \"agreement rate\" that was roughly 10 percent higher than a human-only approach. What this means is that the algorithm and a human expert were more likely to agree on a diagnosis than two human experts.\u003c/p>\n\u003cp>\"At some point in the near future we'll be limited less by what technology can do and more by people's willingness to trust it,\" said Anthony Goldbloom, cofounder and CEO of \u003ca href=\"https://www.kaggle.com\">Kaggle\u003c/a>, a San Francisco-based web startup that hosted the competition.\u003c/p>\n\u003cp>\u003cstrong style=\"line-height: 1.5\">Smarter than Humans \u003c/strong>\u003c/p>\n\u003cp>Cuadros had his doubts when he initially learned about the competition, which kicked off in February of this year.\u003c/p>\n\u003cfigure id=\"attachment_28014\" class=\"wp-caption alignright\" style=\"max-width: 800px\">\u003ca href=\"http://ww2.kqed.org/futureofyou/wp-content/uploads/sites/13/2015/08/goldbloom.jpg\">\u003cimg class=\"size-medium wp-image-28014\" src=\"http://ww2.kqed.org/futureofyou/wp-content/uploads/sites/13/2015/08/goldbloom-800x600.jpg\" alt=\"Anthony Goldbloom is cofounder and CEO of Kaggle.\" width=\"800\" height=\"600\" srcset=\"https://ww2.kqed.org/app/uploads/sites/13/2015/08/goldbloom-800x600.jpg 800w, https://ww2.kqed.org/app/uploads/sites/13/2015/08/goldbloom-400x300.jpg 400w, https://ww2.kqed.org/app/uploads/sites/13/2015/08/goldbloom-1180x885.jpg 1180w, https://ww2.kqed.org/app/uploads/sites/13/2015/08/goldbloom-1920x1440.jpg 1920w, https://ww2.kqed.org/app/uploads/sites/13/2015/08/goldbloom-960x720.jpg 960w\" sizes=\"(max-width: 800px) 100vw, 800px\">\u003c/a>\u003cfigcaption class=\"wp-caption-text\">Anthony Goldbloom is cofounder and CEO of Kaggle. \u003ccite>(Christina Farr/KQED)\u003c/cite>\u003c/figcaption>\u003c/figure>\n\u003cp>\"I wondered whether an algorithm could be as good as a human,\" he said.\u003c/p>\n\u003cp>But a new wave of tools had emerged in recent years that use sophisticated machine-learning technology for medical diagnosis. In recent years, startups like \u003ca href=\"http://www.enlitic.com/\">Entilic\u003c/a> and \u003ca href=\"https://www.cellscope.com/\">Cellscope\u003c/a> have developed sophisticated technology to find signs of diseases like cancer from patients' medical images.\u003c/p>\n\u003cp>So Cuadros, through his work at Eyepacs, agreed to provide thousands of anonymous eye scans to the data scientists. These images had already been graded by one or more human experts as sight-threatening or not.\u003c/p>\n\u003cp>Graham differentiated between the scans by leveraging neural networks, a branch of machine-learning that teaches a computer to map the function of the brain. \"The winner applied this technique to develop the algorithm in ways that would not have been possible five years ago,\" said Goldbloom.\u003c/p>\n\u003cp>According to Cuadros, human specialists get it right about 90 percent of the time. The error rate is in often due to tiredness or problems with the quality of the image.\u003c/p>\n\u003cp>\"What was so amazing is that there was a very high correlation between the algorithm and the human experts,\" Cuadros said. \"But when there was a disagreement, sometimes the algorithm got it right and the humans were wrong.\"\u003c/p>\n\u003cp>\u003cstrong>What's Next for the Algorithm?\u003c/strong>\u003c/p>\n\u003cp>New programs have \u003ca href=\"http://www.chcf.org/projects/2009/diabetic-retinopathy-screening\">p\u003c/a>\u003ca href=\"http://www.chcf.org/projects/2009/diabetic-retinopathy-screening\">opped up\u003c/a> in rural parts of California in recent years to incorporate screening into primary care visits, with results interpreted remotely by ophthalmologists via an eye scan. One immediate use for the algorithm is to notify photographers in real-time whether they need to retake the image.\u003c/p>\n\u003cfigure id=\"attachment_28015\" class=\"wp-caption alignright\" style=\"max-width: 398px\">\u003cimg class=\" wp-image-28015\" src=\"http://ww2.kqed.org/futureofyou/wp-content/uploads/sites/13/2015/08/Blausen_0312_DiabeticRetinopathy-800x600.png\" alt=\"An illustration depicting diabetic retinopathy\" width=\"398\" height=\"299\" srcset=\"https://ww2.kqed.org/app/uploads/sites/13/2015/08/Blausen_0312_DiabeticRetinopathy-800x600.png 800w, https://ww2.kqed.org/app/uploads/sites/13/2015/08/Blausen_0312_DiabeticRetinopathy-400x300.png 400w, https://ww2.kqed.org/app/uploads/sites/13/2015/08/Blausen_0312_DiabeticRetinopathy-960x720.png 960w, https://ww2.kqed.org/app/uploads/sites/13/2015/08/Blausen_0312_DiabeticRetinopathy.png 1024w\" sizes=\"(max-width: 398px) 100vw, 398px\">\u003cfigcaption class=\"wp-caption-text\">An illustration depicting diabetic retinopathy ne immediate use for the algorithm is to notify photographers or clinicians when they should retake the eye-scan in real-time. \u003ccite>( Blausen.com staff / Wikiversity Journal of Medicine )\u003c/cite>\u003c/figcaption>\u003c/figure>\n\u003cp>But it remains to be seen whether the algorithm will make its way into clinical practice as a diagnostic tool that will replace or support human specialists. The next step is a more formal clinical trial to convince other decision-makers in the medical community. The trial will include 1,000 patients and will kick off later in the year.\u003c/p>\n\u003cp>Cuadros hopes the algorithm may ultimately prove useful in places where \"virtually zero percent of patients with diabetes get retinal exams.\" In North Africa, for instance, nonprofit groups are leveraging telemedicine services so providers anywhere in the world can look at people's eye scans. But the limiting factor is that a high-quality Internet connection is required. \"In future, these clinics would only need the algorithm and an inexpensive retinal camera,\" he said.\u003c/p>\n\u003cp>Globally, the algorithm could potentially alert a human specialist to look more closely at one scan over another. It may also be useful in nudging primary care providers when a patient needs to see a retinal specialist immediately, rather than a regular eye doctor.\u003c/p>\n\u003cp>\u003c/p>\n\u003cp>The regulatory climate is far more tricky in the U.S., Cuadros said, as there are barriers to computers performing eye exams without a human specialist present. \"Unless this policy changes,\" he said, \"there will be fewer incentives for clinics to rely on the algorithm.\"\u003c/p>\n\n\u003c/div>\u003c/p>","attributes":{"named":{},"numeric":[]}}],"link":"/futureofyou/27622/this-robo-eye-doctor-may-help-patients-with-diabetes-keep-sight","authors":["3252"],"series":["futureofyou_308"],"categories":["futureofyou_1062"],"tags":["futureofyou_309","futureofyou_566","futureofyou_80","futureofyou_567","futureofyou_565"],"featImg":"futureofyou_28013","label":"futureofyou_308"}},"programsReducer":{"possible":{"id":"possible","title":"Possible","info":"Possible is hosted by entrepreneur Reid Hoffman and writer Aria Finger. 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Each episode also includes a short fiction story generated by advanced AI GPT-4, serving as a thought-provoking springboard to speculate how humanity could leverage technology for good.","airtime":"SUN 2pm","imageSrc":"https://cdn.kqed.org/wp-content/uploads/2024/04/Possible-Podcast-Tile-360x360-1.jpg","officialWebsiteLink":"https://www.possible.fm/","meta":{"site":"news","source":"Possible"},"link":"/radio/program/possible","subscribe":{"apple":"https://podcasts.apple.com/us/podcast/possible/id1677184070","spotify":"https://open.spotify.com/show/730YpdUSNlMyPQwNnyjp4k"}},"1a":{"id":"1a","title":"1A","info":"1A is home to the national conversation. 1A brings on great guests and frames the best debate in ways that make you think, share and engage.","airtime":"MON-THU 11pm-12am","imageSrc":"https://ww2.kqed.org/radio/wp-content/uploads/sites/50/2018/04/1a.jpg","officialWebsiteLink":"https://the1a.org/","meta":{"site":"news","source":"npr"},"link":"/radio/program/1a","subscribe":{"npr":"https://rpb3r.app.goo.gl/RBrW","apple":"https://itunes.apple.com/WebObjects/MZStore.woa/wa/viewPodcast?s=143441&mt=2&id=1188724250&at=11l79Y&ct=nprdirectory","tuneIn":"https://tunein.com/radio/1A-p947376/","rss":"https://feeds.npr.org/510316/podcast.xml"}},"all-things-considered":{"id":"all-things-considered","title":"All Things Considered","info":"Every weekday, \u003cem>All Things Considered\u003c/em> hosts Robert Siegel, Audie Cornish, Ari Shapiro, and Kelly McEvers present the program's trademark mix of news, interviews, commentaries, reviews, and offbeat features. Michel Martin hosts on the weekends.","airtime":"MON-FRI 1pm-2pm, 4:30pm-6:30pm\u003cbr />SAT-SUN 5pm-6pm","imageSrc":"https://cdn.kqed.org/wp-content/uploads/2024/04/All-Things-Considered-Podcast-Tile-360x360-1.jpg","officialWebsiteLink":"https://www.npr.org/programs/all-things-considered/","meta":{"site":"news","source":"npr"},"link":"/radio/program/all-things-considered"},"american-suburb-podcast":{"id":"american-suburb-podcast","title":"American Suburb: The Podcast","tagline":"The flip side of gentrification, told through one town","info":"Gentrification is changing cities across America, forcing people from neighborhoods they have long called home. Call them the displaced. Now those priced out of the Bay Area are looking for a better life in an unlikely place. American Suburb follows this migration to one California town along the Delta, 45 miles from San Francisco. But is this once sleepy suburb ready for them?","imageSrc":"https://cdn.kqed.org/wp-content/uploads/2024/04/American-Suburb-Podcast-Tile-703x703-1.jpg","officialWebsiteLink":"/news/series/american-suburb-podcast","meta":{"site":"news","source":"kqed","order":"13"},"link":"/news/series/american-suburb-podcast/","subscribe":{"npr":"https://rpb3r.app.goo.gl/RBrW","apple":"https://itunes.apple.com/WebObjects/MZStore.woa/wa/viewPodcast?mt=2&id=1287748328","tuneIn":"https://tunein.com/radio/American-Suburb-p1086805/","rss":"https://ww2.kqed.org/news/series/american-suburb-podcast/feed/podcast","google":"https://podcasts.google.com/feed/aHR0cHM6Ly9mZWVkcy5tZWdhcGhvbmUuZm0vS1FJTkMzMDExODgxNjA5"}},"baycurious":{"id":"baycurious","title":"Bay Curious","tagline":"Exploring the Bay Area, one question at a time","info":"KQED’s new podcast, Bay Curious, gets to the bottom of the mysteries — both profound and peculiar — that give the Bay Area its unique identity. And we’ll do it with your help! You ask the questions. You decide what Bay Curious investigates. And you join us on the journey to find the answers.","imageSrc":"https://cdn.kqed.org/wp-content/uploads/2024/04/Bay-Curious-Podcast-Tile-703x703-1.jpg","imageAlt":"\"KQED Bay Curious","officialWebsiteLink":"/news/series/baycurious","meta":{"site":"news","source":"kqed","order":"4"},"link":"/podcasts/baycurious","subscribe":{"apple":"https://podcasts.apple.com/us/podcast/bay-curious/id1172473406","npr":"https://www.npr.org/podcasts/500557090/bay-curious","rss":"https://ww2.kqed.org/news/category/bay-curious-podcast/feed/podcast","google":"https://podcasts.google.com/feed/aHR0cHM6Ly93dzIua3FlZC5vcmcvbmV3cy9jYXRlZ29yeS9iYXktY3VyaW91cy1wb2RjYXN0L2ZlZWQvcG9kY2FzdA","stitcher":"https://www.stitcher.com/podcast/kqed/bay-curious","spotify":"https://open.spotify.com/show/6O76IdmhixfijmhTZLIJ8k"}},"bbc-world-service":{"id":"bbc-world-service","title":"BBC World Service","info":"The day's top stories from BBC News compiled twice daily in the week, once at weekends.","airtime":"MON-FRI 9pm-10pm, TUE-FRI 1am-2am","imageSrc":"https://cdn.kqed.org/wp-content/uploads/2024/04/BBC-World-Service-Podcast-Tile-360x360-1.jpg","officialWebsiteLink":"https://www.bbc.co.uk/sounds/play/live:bbc_world_service","meta":{"site":"news","source":"BBC World Service"},"link":"/radio/program/bbc-world-service","subscribe":{"apple":"https://itunes.apple.com/us/podcast/global-news-podcast/id135067274?mt=2","tuneIn":"https://tunein.com/radio/BBC-World-Service-p455581/","rss":"https://podcasts.files.bbci.co.uk/p02nq0gn.rss"}},"code-switch-life-kit":{"id":"code-switch-life-kit","title":"Code Switch / Life Kit","info":"\u003cem>Code Switch\u003c/em>, which listeners will hear in the first part of the hour, has fearless and much-needed conversations about race. Hosted by journalists of color, the show tackles the subject of race head-on, exploring how it impacts every part of society — from politics and pop culture to history, sports and more.\u003cbr />\u003cbr />\u003cem>Life Kit\u003c/em>, which will be in the second part of the hour, guides you through spaces and feelings no one prepares you for — from finances to mental health, from workplace microaggressions to imposter syndrome, from relationships to parenting. The show features experts with real world experience and shares their knowledge. Because everyone needs a little help being human.\u003cbr />\u003cbr />\u003ca href=\"https://www.npr.org/podcasts/510312/codeswitch\">\u003cem>Code Switch\u003c/em> offical site and podcast\u003c/a>\u003cbr />\u003ca href=\"https://www.npr.org/lifekit\">\u003cem>Life Kit\u003c/em> offical site and podcast\u003c/a>\u003cbr />","airtime":"SUN 9pm-10pm","imageSrc":"https://cdn.kqed.org/wp-content/uploads/2024/04/Code-Switch-Life-Kit-Podcast-Tile-360x360-1.jpg","meta":{"site":"radio","source":"npr"},"link":"/radio/program/code-switch-life-kit","subscribe":{"apple":"https://podcasts.apple.com/podcast/1112190608?mt=2&at=11l79Y&ct=nprdirectory","google":"https://podcasts.google.com/feed/aHR0cHM6Ly93d3cubnByLm9yZy9yc3MvcG9kY2FzdC5waHA_aWQ9NTEwMzEy","spotify":"https://open.spotify.com/show/3bExJ9JQpkwNhoHvaIIuyV","rss":"https://feeds.npr.org/510312/podcast.xml"}},"commonwealth-club":{"id":"commonwealth-club","title":"Commonwealth Club of California Podcast","info":"The Commonwealth Club of California is the nation's oldest and largest public affairs forum. As a non-partisan forum, The Club brings to the public airwaves diverse viewpoints on important topics. The Club's weekly radio broadcast - the oldest in the U.S., dating back to 1924 - is carried across the nation on public radio stations and is now podcasting. Our website archive features audio of our recent programs, as well as selected speeches from our long and distinguished history. This podcast feed is usually updated twice a week and is always un-edited.","airtime":"THU 10pm, FRI 1am","imageSrc":"https://cdn.kqed.org/wp-content/uploads/2024/04/Commonwealth-Club-Podcast-Tile-360x360-1.jpg","officialWebsiteLink":"https://www.commonwealthclub.org/podcasts","meta":{"site":"news","source":"Commonwealth Club of California"},"link":"/radio/program/commonwealth-club","subscribe":{"apple":"https://itunes.apple.com/us/podcast/commonwealth-club-of-california-podcast/id976334034?mt=2","google":"https://podcasts.google.com/feed/aHR0cDovL3d3dy5jb21tb253ZWFsdGhjbHViLm9yZy9hdWRpby9wb2RjYXN0L3dlZWtseS54bWw","tuneIn":"https://tunein.com/radio/Commonwealth-Club-of-California-p1060/"}},"considerthis":{"id":"considerthis","title":"Consider This","tagline":"Make sense of the day","info":"Make sense of the day. Every weekday afternoon, Consider This helps you consider the major stories of the day in less than 15 minutes, featuring the reporting and storytelling resources of NPR. Plus, KQED’s Bianca Taylor brings you the local KQED news you need to know.","imageSrc":"https://cdn.kqed.org/wp-content/uploads/2024/04/Consider-This-Podcast-Tile-703x703-1.jpg","imageAlt":"Consider This from NPR and KQED","officialWebsiteLink":"/podcasts/considerthis","meta":{"site":"news","source":"kqed","order":"7"},"link":"/podcasts/considerthis","subscribe":{"apple":"https://podcasts.apple.com/podcast/id1503226625?mt=2&at=11l79Y&ct=nprdirectory","npr":"https://rpb3r.app.goo.gl/coronavirusdaily","google":"https://podcasts.google.com/feed/aHR0cHM6Ly9mZWVkcy5ucHIub3JnLzUxMDM1NS9wb2RjYXN0LnhtbA","spotify":"https://open.spotify.com/show/3Z6JdCS2d0eFEpXHKI6WqH"}},"forum":{"id":"forum","title":"Forum","tagline":"The conversation starts here","info":"KQED’s live call-in program discussing local, state, national and international issues, as well as in-depth interviews.","airtime":"MON-FRI 9am-11am, 10pm-11pm","imageSrc":"https://cdn.kqed.org/wp-content/uploads/2024/04/Forum-Podcast-Tile-703x703-1.jpg","imageAlt":"KQED Forum with Mina Kim and Alexis Madrigal","officialWebsiteLink":"/forum","meta":{"site":"news","source":"kqed","order":"8"},"link":"/forum","subscribe":{"apple":"https://podcasts.apple.com/us/podcast/kqeds-forum/id73329719","google":"https://podcasts.google.com/feed/aHR0cHM6Ly9mZWVkcy5tZWdhcGhvbmUuZm0vS1FJTkM5NTU3MzgxNjMz","npr":"https://www.npr.org/podcasts/432307980/forum","stitcher":"https://www.stitcher.com/podcast/kqedfm-kqeds-forum-podcast","rss":"https://feeds.megaphone.fm/KQINC9557381633"}},"freakonomics-radio":{"id":"freakonomics-radio","title":"Freakonomics Radio","info":"Freakonomics Radio is a one-hour award-winning podcast and public-radio project hosted by Stephen Dubner, with co-author Steve Levitt as a regular guest. 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