Journal

A healthcare algorithm can predict its chosen target well while allocating care unfairly: examine the difference between cost, use and clinical need.

Human oversight needs maintained clinical capability, current information and authority to intervene, not simply a named person beside an AI system.

A practical approach to learning from clinical AI when your knowledge is still developing, without mistaking a familiar explanation for understanding.

A whole-workflow cost model for clinical AI, separating subscription fees, verification effort, released capacity and genuine cash savings.

Clinical AI may improve immediate performance while changing learning opportunities; examine the evidence for deskilling and the cognitive demands of integrated workflows.

Why medical learning profiles should extend beyond exams, how iatroX connects practice with CPD, and what its next stage of expansion should deliver.

Knowledge Profile, Knowledge Tutor and AI tutor are not interchangeable. Compare AMBOSS, Passmedicine and iatroX by the learning problem each feature addresses.

Compare alternatives to AMBOSS Knowledge Profile across UWorld analytics, Passmedicine, Pastest AI Tutor, Anki FSRS and iatroX personalised learning.

Compare AMBOSS Knowledge Profile with iatroX adaptive practice, tutoring, planning, simulations and CPD, separating product features from evidence.

Medical learners should practise gathering information independently, challenging AI summaries and explaining decisions, without treating AMIE as proof of deskilling.

AgentClinic shows why interactive medical reasoning needs different tests from static questions, with practical implications for AI evaluation and clinical learning.

A proposed educational approach to supervising healthcare agents through missing-information cases, unsuitable plans, false completion and source conflicts.