Clinical training is the beating heart of every health professions program, but it is also the hardest part to scale. Universities must balance patient safety, limited placement sites, faculty workload, and accreditation demands while still giving every learner enough hands on practice and exposure to complex cases. By 2026, artificial intelligence will give institutions powerful new ways to expand clinical training without diluting quality, especially when they adopt connect

By 2026, artificial intelligence in medical education will no longer feel like an experiment. It will be part of the daily work of faculty, shaping how syllabi are designed, how students practice clinical reasoning, and how assessment data informs decisions. Educators will still lead the learning journey, but they will do so with the support of intelligent systems that extend their reach and insight. Platforms such as the medical education tools from  Dendritic Health  alread

Medical education is evolving faster than ever. Traditional lectures alone can no longer meet the learning demands of modern medicine. Professors now face the challenge of balancing content delivery, simulation, assessment, and individualized mentorship across large cohorts.  Dendritic Health  is redefining this balance by helping educators move beyond static PowerPoints and classroom monologues toward data-driven, interactive, and competency-based teaching. A growing body of