The use of artificial intelligence in medical education and clinical reasoning skills are under discussion

At the AHCJ fall summit in Los Angeles, experts discussed the use of artificial intelligence technologies in medical education and how to preserve the clinical reasoning abilities of physician candidates during this process.

Dr. Tina Hernandez-Boussard from Stanford University and Dr. Graciela Gonzalez-Hernandez from Cedars-Sinai Medical Center evaluated the challenges brought by incorporating artificial intelligence into medical education. The experts drew attention to the issue of 'never-skilling,' where students risk losing fundamental clinical judgment abilities by becoming overly dependent on automated systems.

Dr. Hernandez-Boussard emphasized that future physicians must maintain their fundamental skills, much like pilots who can take manual control in the event of technological failures. Dr. Gonzalez-Hernandez argued that restricting the use of artificial intelligence would be ineffective, and instead, faculty members should take on a facilitating role for responsible integration.

Meanwhile, Johns Hopkins Medicine announced on October 13, 2026, that it had formed a partnership with OpenEvidence. This collaboration aims to develop an 'AI-native environment' in medical education and to redesign clinical training by detecting AI errors under human supervision.