Barriers to AI-ECG Adoption
Manage episode 364308855 series 3475188
Innhold levert av Mayo Clinic. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Mayo Clinic eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.
Barriers to AI-ECG Adoption
Guest: Adam May, M.D.
Hosts: Anthony H. Kashou, M.D. (@anthonykashoumd)
Joining us today to discuss the challenges with artificial intelligence and ECG analysis is Adam May, M.D., a cardiac intensivist and assistant professor of medicine at Washington University’s School of Medicine in St. Louis, Missouri. Dr. May’s interests include the discovery, development, and refinement of innovative processes to enhance the diagnostic capabilities of automated ECG interpretation. Tune in to the discussion around barriers to AI-ECG adoption.
Specific topics discussed:
- The current state of AI-ECG
- Barriers of AI-ECG
- Algorithm generalizability
- Algorithm implementation
- Algorithm utility
Connect with Mayo Clinic's Cardiovascular Continuing Medical Education online at https://cveducation.mayo.edu or on Twitter @MayoClinicCV and @MayoCVservices.
LinkedIn: Mayo Clinic Cardiovascular Services
Cardiovascular Education App:
The Mayo Clinic Cardiovascular CME App is an innovative educational platform that features cardiology-focused continuing medical education wherever and whenever you need it. Use this app to access other free content and browse upcoming courses. Download it for free in Apple or Google stores today!
No CME credit offered for this episode.
Podcast episode transcript found here.
128 episoder
Del
))
