Universities face growing pressure to deliver clinical training to ever-larger cohorts while maintaining high standards of patient safety, communication skills, and diagnostic reasoning. Traditional models of clinical training relying on limited hospital placements, standardized patients, and manual supervision are reaching capacity constraints. Artificial intelligence presents a transformative solution. Sophisticated platforms can simulate patient encounters, generate adapti

As medical schools adopt artificial intelligence tools for teaching, assessment, and simulation, it becomes critical for faculty to ensure these tools align with accreditation requirements and competency-based outcomes. Without this alignment, AI may become a flashy add-on rather than a strategic asset in education. A recent scoping review found that many institutions still lack standardized frameworks for integrating AI into curricula that support student competencies and ac

Medical educators are entering an era where artificial intelligence is no longer a novelty but an integral part of teaching, learning, and assessment. According to a 2025 survey by WCET, institutions must now invest in AI literacy, policy frameworks, and pedagogical redesign if they are to remain relevant. For faculty in medical schools, this means preparing for three major shifts: AI-driven content delivery, continuous assessment cycles, and data-informed pedagogy. As medica