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DOCSF 2023: DOCSF SCIENCE - AI/Big Data

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Manage episode 371115330 series 2598190
Content provided by Digital Orthopaedics Conference (DOCSF). All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Digital Orthopaedics Conference (DOCSF) 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://ro.player.fm/legal.

Join us in this episode as we delve further into the application of machine learning and AI in healthcare.

Our host Fabrizio Billi, Ph.D. (UCLA), and panelists: Thomas Peterson, Ph.D. (UCSF), Peter Schilling, MD (Dartmouth-Hitchcock), and Alan Young, MD (McKinsey & Company), explore the use of AI and big data to predict patient outcomes, streamline interactions, and enhance overall hospital experiences. From forecasting patient discharges to predicting surgical case times and assessing risks, the panelists engage in a lively discussion on the strengths and weaknesses of AI. They highlight that the accuracy of AI varies based on the variables considered. Additionally, they stress the importance of robust data infrastructure and funding organizations' understanding of the value of these tools in advancing scientific research. The conversation also touches upon the need for clinicians to have a comprehensive understanding of these tools.

Tune in to this enlightening conversation and be sure to catch all the other engaging episodes of DOCSF!

  continue reading

145 episoade

Artwork
iconDistribuie
 
Manage episode 371115330 series 2598190
Content provided by Digital Orthopaedics Conference (DOCSF). All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Digital Orthopaedics Conference (DOCSF) 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://ro.player.fm/legal.

Join us in this episode as we delve further into the application of machine learning and AI in healthcare.

Our host Fabrizio Billi, Ph.D. (UCLA), and panelists: Thomas Peterson, Ph.D. (UCSF), Peter Schilling, MD (Dartmouth-Hitchcock), and Alan Young, MD (McKinsey & Company), explore the use of AI and big data to predict patient outcomes, streamline interactions, and enhance overall hospital experiences. From forecasting patient discharges to predicting surgical case times and assessing risks, the panelists engage in a lively discussion on the strengths and weaknesses of AI. They highlight that the accuracy of AI varies based on the variables considered. Additionally, they stress the importance of robust data infrastructure and funding organizations' understanding of the value of these tools in advancing scientific research. The conversation also touches upon the need for clinicians to have a comprehensive understanding of these tools.

Tune in to this enlightening conversation and be sure to catch all the other engaging episodes of DOCSF!

  continue reading

145 episoade

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