AI Uncovers Other Patients Like You to Support Doctors

Outside of common conditions, most doctors see only a few cases of some problem in their entire career. That’s why students and residents gather eagerly around hospital patients who were diagnosed with a rare condition. These doctors can’t compare large numbers of patients with a certain condition to see what works for each patient and why some respond to a treatment that fails on other patients.

But take common conditions that doctors see every day. Even here, exams and tests usually don’t detect the condition until it hits a certain stage. Treating it at an earlier stage could vastly improve the outcome.

These are some of the uses for AI in medicine, as described in this video interview with Joseph Zabinski, senior director of AI & personalized medicine at OM1.

OM1 searches rich data sets containing information on millions of patients, from clinical visits and other sources, to turn up alerts that a condition might be emerging. OM1 can also predict certain treatments that could work or could not work, based on understanding the patient’s full conditions and demographic information.

The recent successes of chatGPT hint at the potential for AI in health care, because doctors asks questions all the time. Zabinski suggests that AI can take human “intuition that there’s something in there” and turn that into answers.

“There’s something in the data that can tell me more than I see right now,” he says. Hints of a problem may pile up in the data months before the patient starts showing symptoms. AI can discover whether a condition is affected by something else that happened long before, such as a stroke.

Watch this video to learn Zabinski’s insights into what OM1 can do with data, the importance of personalized treatment plans, AI’s contribution to shared decision making and patient options, and what can help doctors and patients trust AI.

Learn more about OM1: https://www.om1.com/

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About the author

Andy Oram

Andy is a writer and editor in the computer field. His editorial projects have ranged from a legal guide covering intellectual property to a graphic novel about teenage hackers. A correspondent for Healthcare IT Today, Andy also writes often on policy issues related to the Internet and on trends affecting technical innovation and its effects on society. Print publications where his work has appeared include The Economist, Communications of the ACM, Copyright World, the Journal of Information Technology & Politics, Vanguardia Dossier, and Internet Law and Business. Conferences where he has presented talks include O'Reilly's Open Source Convention, FISL (Brazil), FOSDEM (Brussels), DebConf, and LibrePlanet. Andy participates in the Association for Computing Machinery's policy organization, named USTPC, and is on the editorial board of the Linux Professional Institute.

   

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