Diagnosis is one of the most important tasks performed by primary care physicians. The
World Health Organization (WHO) recently prioritized patient safety areas in primary care …

Background The digitization and automation of diagnostics and treatments promise to alter
the quality of health care and improve patient outcomes, whereas the undersupply of …

In medicine, artificial intelligence (AI) research is becoming increasingly focused on
applying machine learning (ML) techniques to complex problems, and so allowing …

Background General practitioners (GPs) care for a large number of patients with various
diseases in very short timeframes under high uncertainty. Thus, systems enabled by artificial …

Diagnosis is one of the crucial tasks performed by primary care physicians; however,
primary care is at high risk of diagnostic errors due to the characteristics and uncertainties …

Much time, effort and investment goes into the diagnosis of symptomatic cancer, with the
expectation that this approach brings clinical benefits. This investment of resources has …

Background To evaluate the effectiveness of audit and communication strategies to reduce
diagnostic errors made by clinicians. Methods MEDLINE complete, CINHAL complete …

Breast cancer is the most frequently diagnosed cancer in women, with more than 2.1 million
new diagnoses worldwide every year. Personalised treatment is critical to optimising …

PURPOSE To identify and quantify the barriers and facilitators to the use of clinical decision
support systems (CDSSs) by primary care professionals (PCPs). METHODS A mixed …

Background Diagnostic accuracy might be improved by algorithms that searched patients'
clinical notes in the electronic health record (EHR) for signs and symptoms of diseases such …