artificial intelligence

Six Risks of AI in Healthcare: A Short Primer

By Jim Tate – The integration of AI in healthcare has been a groundbreaking advancement, offering immense potential benefits like improved diagnostics, personalized medicine, and efficient patient care management. However, as with any significant technological shift, it’s essential to scrutinize the associated risks.

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AI in Healthcare News and Updates

This month’s AI report includes news and updates from Mednition, Radiology Partners, AccurKardia, Lucem Health, Tempus, Royal Philips, Press Ganey, Aiberry, John Muir Health, Ambience Healthcare, MedCerts, Cyera, eClinicalWorks, Exo, Mayo Clinic, Intelligent Medical Objects & more!


Unlocking Healthcare Data with the Power of AI

By Jamie Clark – Artificial intelligence (AI) is transforming industries across the board, and healthcare is no exception. Chatbots, predictive algorithms, robotic process automation – the hype around these emerging technologies promises a revolution in how hospitals deliver care.


The Good, The Hype, and The Doctor’s Perspective

New On Demand Dr. Nick: The Incrementalist: With guest Rob Brisk, MBChb PhD Chief Scientific Officer for Eolas Medical. Rob shares his journey from being a physician to venturing into the world of AI and emphasizes the importance of clinicians’ involvement in AI developments, highlighting the need for a cautious approach.



AI in Healthcare News and Updates

This month’s AI report includes news and updates from Inovalon, Amazon Web Services, Caris Life Sciences, Densitas, Intelerad, Carta Healthcare, Google Cloud, Georgia State University, AVIA, Quris-AI, Fairtility, CharmHealth, H1, SAIGroup, Augmedix, Carium, Ochsner Health, & more.



Physician and Medical Student Competence in AI

By William Hersh MD – A number of interesting papers on physician competencies in artificial intelligence have been published recently, and there is no question that all 21st century healthcare professions must have a thorough understanding of the benefits and limitations of AI that they are likely to use in their clinical work.