Today’s AI algorithms require tens of thousands of expensive medical images to detect a patient’s disease. What if we could drastically reduce the amount of data needed to train an AI, making diagnoses low-cost and more effective? TED Fellow Pratik Shah is working on a clever system to do just that. Using an unorthodox AI approach, Shah has developed a technology that requires as few as 50 images to develop a working algorithm — and can even use photos taken on doctors’ cell phones to provide a diagnosis. Learn more about how this new way to analyze medical information could lead to earlier detection of life-threatening illnesses and bring AI-assisted diagnosis to more health care settings worldwide. Check out more TED Talks: http://www.ted.com The TED Talks channel features the best talks and performances from the TED Conference, where the world’s leading thinkers and doers give the talk of their lives in 18 minutes (or less). Look for talks on Technology, Entertainment and Design — plus science, business, global issues, the arts and more. Follow TED on Twitter: http://www.twitter.com/TEDTalks Like TED on Facebook: https://www.facebook.com/TED Subscribe to our channel: https://www.youtube.com/TED
Millions of patients live in rural or developing areas where disease treatment isn’t the problem: it’s overcoming the 1:1,000 doctor to patient ratio and screening for preventable diseases. High school student Kavya Kopparapu shares the future of artificial intelligence in this field– as a substitute for doctors in these areas to deliver much-needed medical diagnoses.  Kavya Kopparapu is the Founder and CEO of GirlsComputingLeague and current junior at Thomas Jefferson High School for Science and Technology. She is dedicated to sharing her passion for computer science with others, especially young girls, as the field has given her a world of opportunity, and has been recognized by organizations such as the White House and the National Center for Women in Information Technology (NCWIT). Her journey with computer science began in elementary school, when she was introduced to the Scratch programming language and developed robots using the Mindstorms programming language. Her interests were further strengthened when she took AP Computer Science in freshman year, followed by classes like Artificial Intelligence and Computer Vision. This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at https://www.ted.com/tedx
MechE’s Conrad Tucker is democratizing the access to knowledge by using technology that most people already have access to. He explains how his work with commercial devices like cell phones can change the world of virtual reality for the better.
Artificial intelligence (AI) is now being used to autonomously diagnose a diabetes-related eye disorder in patients at University of Iowa Hospitals and Clinics in Iowa City. University of Iowa Health Care is the first U.S. medical center to start using IDx-DR – a technology that uses artificial intelligence (AI) to diagnose diabetic retinopathy, a condition in which poorly controlled blood sugar leads to damaged blood vessels in the back of the eye. IDx-DR is the first device authorized by the FDA for marketing that provides a screening decision without the need for a clinician to also interpret the image or results. Between 12,000 and 24,000 Americans lose their vision to diabetic retinopathy each year, but the condition can be treated if caught early. The IDx-DR system, which is integrated into our electronic health record, allows people with diabetes to get a critical eye exam as part of their regular primary visit, without having to make a separate appointment with an eye specialist. If the AI detects diabetic retinopathy, the patient can be referred to an eye specialist and start treatment, which can prevent blindness. The technology has a long history in Iowa. It was created by the Coralville-based company IDx, a privately held AI diagnostics company, which was founded by UI Health Care ophthalmologist Michael Abràmoff in 2010. Much of the research used to develop IDx-DR was conducted by Abràmoff at the University of Iowa and licensed through the UI Research Foundation. Abràmoff also is president of IDx. Providers at [More]