We continue the conversation about artificial intelligence (AI) in this second episode of a two-part series. Our guest is Dr. Michael Victoroff, a family medicine physician, patient safety and risk management specialist, and clinical informatics expert. Dr. Victoroff uses image interpretation in radiology as an example of AI because it sees things humans miss and humans see things AI misses. We look at other AI applications—support for diagnosing and creating a treatment plan, concerns with visit notes (e.g., inaccuracies, information designed for billing purposes versus information for patient care, bias that can emerge, etc.), and the knowledge medical providers will need to acquire about AI’s role in medicine. In addition, Dr. Victoroff highlights key risk considerations such as cyber risks, AI impersonation of other medical professionals and facilities, and how this technology may extend into our personal lives.

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Disclaimer: Information provided in this podcast should not be relied upon for personal, medical, legal, or financial decisions and you should consult an appropriate professional for specific advice that pertains to your situation. Health care providers should exercise their professional judgment in connection with the provision of healthcare services. The information contained in this podcast is not intended to be, nor is it, a substitute for medical diagnosis, treatment, advice, or judgment relative to a patient’s specific condition.  

Feedback or episode ideas email the show at [email protected]

Disclaimer: Information provided in this podcast should not be relied upon for personal, medical, legal, or financial decisions and you should consult an appropriate professional for specific advice that pertains to your situation. Health care providers should exercise their professional judgment in connection with the provision of healthcare services. The information contained in this podcast is not intended to be, nor is it, a substitute for medical diagnosis, treatment, advice, or judgment relative to a patient’s specific condition.