Dr. Hamilton Baker is passionate about increasing research in the areas of machine learning and AI in biomedical research.
As the lead of the Clemson-MUSC AI Hub, he’s able to further that work through monthly seminars, and a consult service helping others who are applying AI-methods to current or future research.
In this interview Dr. Baker shares considerations of AI and machine learning in medicine, the use of chatbots, physician acceptance, patient input, and more.
In addition to serving as the Lead of the Clemson-MUSC AI Hub, Dr. Baker is an Associate Professor of Pediatrics and Public Health at MUSC.
Learn more about the Clemson-MUSC AI Hub: https://web.musc.edu/innovation/ai-hub
Learn more about MUSC: https://muschealth.org
You can also listen to the show on podcast platforms:
Apple podcast link:
https://podcasts.apple.com/us/podcast/speaking-of/id1549592446
I Heart podcast link:
https://www.iheart.com/podcast/269-speaking-of-76708275/#
Spotify podcast link:
https://open.spotify.com/show/1g2LUGr0SzxbBmSHB3FHyL?si=PNO79sBOReGXQJu_CrsJEg
Topical time codes:
00:50 – About the Clemson-MUSC AI Hub
1:48 – From Research to Clinical Stage
5:20 – Clemson-MUSC relationship
7:17 – Examples of successful implementation
10:33 – Chatbots
14:07 – The use of chatbots – oversight and patient experience
17:32 – Avoiding bias in machine learning
20:21 – Including patient input
23:27 – Physician acceptance
26:54 – Personal passion
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Thanks to the following organization for supporting the Making Healthcare Work for You mission.
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