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Could AI predict and prevent age-related diseases? Could AI help restore the patient-doctor relationship? Or will it exacerbate existing challenges in providing health care?
In this episode of JAMA+ AI Conversations, Eric Topol, MD, Director and Founder of the Scripps Research Translational Institute, speaks with JAMA+ AI Editor in Chief Roy Perlis, MD, MSc, about aging, AI, and predicting the future.
Topol discusses what it will take for AI to move medicine from reactive to predictive, why some well-validated imaging AI remains underused even as the applications of large language models have spread rapidly, and whether AI is actually giving clinicians more time with patients.
Listen now on Spotify | Apple Podcasts | YouTube | JAMA.com.
Editor’s Picks in this week’s JAMA+ AI:
- A clinical trial found that digital outreach helped patients at high risk for cardiovascular disease refill their statin prescriptions more often than usual communication methods. Secure patient portal messages and text messages were the most effective, suggesting that digital tools can be a practical way to improve medication adherence. (JAMA)
- Prefer a quick overview? Read the JAMA Research Summary explaining this study of digital patient communication. (JAMA)
- In a related JAMA Editorial, the author notes that absolute refill rates of statins remained low in the ASCVD trial, suggesting that brief digital outreach alone may not substantially close persistent gaps in treatment adherence. However, the editorial notes that the trial provides a model for rapid and rigorous testing within an existing health system infrastructure, even as the search continues for more effective solutions. (JAMA)
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