What every teacher needs to know about clinical reasoning

By K. Eva. Medical Education, 2005

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Artificial Intelligence and the Implementation Challenge (2019, background): “This example also pertains only to binary queries specifically about whether a patient has a single disease, which is different from the typical reasoning processes involved in differential diagnosis among clinicians, where multiple confounding, interdependent outcomes must be considered [13,14].”
Cognitive biases associated with medical decisions: a systematic review (2016, methodology): “Fourth, case-vignettes or real clinical encounters were used [28].”
Traj-Evolve: A Self-Evolving Multi-Agent System for Patient Trajectory Modeling in Lung Cancer Early Detection (2026, unknown): “This process is central to how clinicians recognise atypical presentations, such as early lung cancer in a never-smoker with an otherwise unremarkable history (Eva, 2005; Patel et al., 2005).”