The Best Kind of Machine Learning is the Kind You Don’t Know is There: Interview with Dr. Hamilton Baker, MUSC and Lead of Clemson-AI Hub

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 

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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