This podcast provides a practical examination of legal accountability for healthcare professionals using artificial intelligence in clinical settings. It highlights how medical liability currently remains with clinicians and institutions, even though legal and regulatory frameworks are still catching up to the rapid deployment of these tools. Through various clinical scenarios, the text emphasizes that independent judgment and thorough documentation are essential protections against malpractice risks. The material also identifies institutional responsibilities, such as validating algorithms and supporting staff, as critical components of safe adoption. Ultimately, the overview serves as an educational guide for navigating the evolving risks associated with AI-assisted decision-making.

In this episode, we sift through the newest evidence and buzz around [The Global Landscape of Medical Tourism]—cutting through the noise to bring you the insights, controversies, and must-know clinical takeaways. Tune in to get the context behind the headlines. #TheArmDoc #DeepDiveOrtho

The search included studies published in PubMed, Scopus, Web of Science, and Cochrane Library databases from 2013 to 2023. Studies comparing SCR with PR techniques in rotator cuff tear patients were included. Primary outcome was Constant shoulder score. Full read: https://pmc.ncbi.nlm.nih.gov/articles/PMC12122475/