Identifying Existing Evidence to Potentially Develop a Machine Learning Diagnostic Algorithm for Cough in Primary Care Settings: Scoping Review.

Background: Primary care is known to be one of the most complex health care settings because of the high number of theoretically possible diagnoses. Therefore, the process of clinical decision-making in primary care includes complex analytical and nonanalytical factors such as gut feelings and dealing with uncertainties. Artificial intelligence is also mandated to offer support in finding valid diagnoses.

Medical students' coping with stress and its predictors: a cross-sectional study.

Objectives: To analyse stress coping styles of medical students at different time points of medical education and to identify predictors of functional coping.

Methods: A cross-sectional study was conducted among medical students (N = 497, 361 women and 136 men) before year one (n = 141), after year one (n = 135) and after year five (n = 220). Students answered the Brief Coping Orientation to Problems Experienced Inventory, the Work-Related Behaviour and Experience Patterns, the Perceived Medical School Stress Instrument and the Maslach Burnout Inventory.