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Prescreening for Clinical Trial Eligibility Using Large Language Models

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Manage episode 471380875 series 1512525
Content provided by American Medical Association and JAMA Network. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by American Medical Association and JAMA Network or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

A recent study showed AI-assisted screening using a large language model tool reduced time to determine trial eligibility compared with manual methods. Author Alexander J. Blood, MD, MSc, cardiologist at Brigham and Women's Hospital, and Associate Director of the Accelerator for Clinical Transformation Research Group at Harvard Medical School joins JAMA Associate Editor Yulin Hswen, ScD, MPH, to discuss this topic and more. Related Content:

  continue reading

239 episodes

Artwork
iconShare
 
Manage episode 471380875 series 1512525
Content provided by American Medical Association and JAMA Network. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by American Medical Association and JAMA Network or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

A recent study showed AI-assisted screening using a large language model tool reduced time to determine trial eligibility compared with manual methods. Author Alexander J. Blood, MD, MSc, cardiologist at Brigham and Women's Hospital, and Associate Director of the Accelerator for Clinical Transformation Research Group at Harvard Medical School joins JAMA Associate Editor Yulin Hswen, ScD, MPH, to discuss this topic and more. Related Content:

  continue reading

239 episodes

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