Background Diagnostic errors cause substantial preventable harms worldwide, but rigorous
estimates for total burden are lacking. We previously estimated diagnostic error and serious …

Autoantibodies are important laboratory markers to support diagnosis of autoimmune
diseases. Interpretation of autoantibodies is classically done in a dichotomous way (positive …

• Diagnosis is a process that is influenced by systems, cognitive, teamwork, and social
factors that may either enhance or reduce diagnostic accuracy• Clinicians can integrate …

Diagnostic errors in health care are a global threat to patient safety. Researchers have
traditionally focused diagnostic safety efforts on identifying errors and their causes with the …

Background There is a critical need to identify specific causes of and tailored solutions to
diagnostic error in sexual and gender minority (SGM) populations. Purpose To identify …

Background Artificial intelligence (AI) symptom checker models should be trained using real-
world patient data to improve their diagnostic accuracy. Given that AI-based symptom …

Objectives This study aimed to assess the prevalence of atypical presentations and their
association with diagnostic errors in various diseases. Methods This retrospective …

Background: Automated medical history–taking systems that generate differential diagnosis
lists have been suggested to contribute to improved diagnostic accuracy. However, the effect …

Researchers and research funders aiming to improve diagnosis seek to identify if, when,
where, and how earlier diagnosis is possible. This has led to the propagation of research …

Background The diagnosis of psoriasis may be missed or delayed in primary care settings.
Aim To examine trends in healthcare events before a diagnosis of psoriasis. Design and …