The Machines Are Getting Ready to Play Doctor

[By Bertalan Meskó, MD PhD]
A team of researchers at Stanford University, led by Andrew Ng, a prominent AI researcher and an adjunct professor there, has shown that a machine-learning model can identify heart arrhythmias from an electrocardiogram (ECG) better than an expert.
***
Conclusion
Your thoughts and comments on this ME-P are appreciated. Feel free to review our top-left column, and top-right sidebar materials, links, URLs and related websites, too. Then, subscribe to the ME-P. It is fast, free and secure.
Speaker: If you need a moderator or speaker for an upcoming event, Dr. David E. Marcinko; MBA – Publisher-in-Chief of the Medical Executive-Post – is available for seminar or speaking engagements. Contact: MarcinkoAdvisors@msn.com
OUR OTHER PRINT BOOKS AND RELATED INFORMATION SOURCES:
- PRACTICES: www.BusinessofMedicalPractice.com
- HOSPITALS: http://www.crcpress.com/product/isbn/9781466558731
- CLINICS: http://www.crcpress.com/product/isbn/9781439879900
- ADVISORS: www.CertifiedMedicalPlanner.org
- FINANCE: Financial Planning for Physicians and Advisors
- INSURANCE: Risk Management and Insurance Strategies for Physicians and Advisors
- Dictionary of Health Economics and Finance
- Dictionary of Health Information Technology and Security
- Dictionary of Health Insurance and Managed Care
***
Filed under: Experts Invited, Information Technology | Tagged: AI, Andrew Ng, Bertalan Meskó, Machines play doctor | Leave a comment »















