JAMA Medical News cover logo

AI and Clinical Practice: Automation Bias and Short Cuts in Clinical AI Models

28m · JAMA Medical News · 28 Feb 16:00

Automation bias and shortcuts in clinical AI models have posed significant challenges. In this Q&A, Jenna Wiens, PhD, an associate professor of Computer Science and Engineering at the University of Michigan in Ann Arbor, joins JAMA Editor in Chief Kirsten Bibbins-Domingo, PhD, MD, MAS, to discuss how we can start leveraging human collaboration with AI to provide more effective health care.

Related Content:

  • Blind Spots, Shortcuts, and Automation Bias—Researchers Are Aiming to Improve AI Clinical Models

The episode AI and Clinical Practice: Automation Bias and Short Cuts in Clinical AI Models from the podcast JAMA Medical News has a duration of 28:29. It was first published 28 Feb 16:00. The cover art and the content belong to their respective owners.

More episodes from JAMA Medical News

Highlights From the American College of Cardiology’s 2024 Scientific Session

Douglas Drachman, MD, shares late-breaking research from the annual conference of the American College of Cardiology and World Congress of Cardiology in an interview with JAMA Medical News Director Jennifer Abbasi. Dr Drachman—who chaired this year’s conference—is an interventional cardiologist at Massachusetts General Hospital, where he is also director of education in the cardiology division.

Related Content:

  • Clinical Highlights From the American College of Cardiology’s 2024 Scientific Session

April 12, 2024 Medical News Summary

Momentum Grows for Disaggregated Asian American Health Data; What Clinicians Need to Know About TikTok

Related Content:

  • Researchers Are Working to Disaggregate Asian American Health Data—Here’s Why It’s Long Overdue
  • Patients Are Turning to TikTok for Health Information—Here’s What Clinicians Need to Know

AI and Clinical Practice: Using AI to Increase Access to Reliable Health Information

Could generative AI assist in extending access to vulnerable populations and begin to bridge the gap in disparities? In this Q&A, Davey Smith, MD, MAS, an infectious disease specialist and virologist at the University of California, San Diego, joins JAMA's Editor in Chief Kirsten Bibbins-Domingo, PhD, MD, MAS, to explore the implications of large language models for improving patient outcomes.

Related Content:

  • Will Generative AI Tools Improve Access to Reliable Health Information?

March 2024 Medical News Summary

Measles Is Spreading Again in the US; Questions Surround Blood Tests That Claim to Screen for Multiple Cancers; Study Provides Insight Into Myalgic Encephalomyelitis/Chronic Fatigue Syndrome

Related Content:

  • Measles Cases Are Spreading in the US—Here’s What to Know
  • Questions Swirl Around Screening for Multiple Cancers With a Single Blood Test
  • NIH Study Provides Long-Awaited Insight Into Myalgic Encephalomyelitis/Chronic Fatigue Syndrome

AI and Clinical Practice—The Potential for AI to Enable Speech and Facilitate Full Expression for Individuals With Brain Injuries

AI can understand brain signals linked to the sensory and motor processes involved in speech. In this Q&A, Edward Chang, MD, the chair and professor of neurosurgery at UCSF joins JAMA's Editor in Chief Kirsten Bibbins-Domingo, PhD, MD, MAS, to discuss how AI has the potential to facilitate communication and how close AI development is to being able to translate human emotion.

Related Content:

  • Digital Avatars and Personalized Voices—How AI Is Helping to Restore Speech to Patients
Every Podcast » JAMA Medical News » AI and Clinical Practice: Automation Bias and Short Cuts in Clinical AI Models