How the Mayo Clinic's AI medicine app helps in stroke prevention
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This is a podcast episode titled, How the Mayo Clinic's AI medicine app helps in stroke prevention. The summary for this episode is: <p>The Mayo Clinic used years of data from 600,000 patients to build an AI model that can detect and predict what doctors sometimes cannot. Dr. Guru Kowlgi, a cardiac electrophysiologist at the Clinic, joins us to discuss the complexity of data curation for AI modeling and how that curation is tied to trust.</p>
Key Takeaways
Dr. Guru Kowlgi, Cardiac Electrophysiologist at the Mayo Clinic
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00:31 MIN
How AI became part of Dr. Kowlgi’s medical career
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01:33 MIN
What AI models offer medicine beyond atrial fibrillation treatment
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01:28 MIN
How to trust AI systems and analysis on patients and combat bias
1
03:27 MIN
The future of AI in healthcare for the next generation of physicians
1
02:44 MIN
A specific AI trend that will be big in medicine the next year
1
00:26 MIN
The biggest misconception about AI and medicine
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00:44 MIN
General heart health advice
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00:33 MIN
DESCRIPTION
The Mayo Clinic used years of data from 600,000 patients to build an AI model that can detect and predict what doctors sometimes cannot. Dr. Guru Kowlgi, a cardiac electrophysiologist at the Clinic, joins us to discuss the complexity of data curation for AI modeling and how that curation is tied to trust.
Today's Host

Albert Lawrence
|Host
Today's Guests

Dr. Guru Kowlgi
|Cardiac Electrophysiologist, Mayo Clinic