Assessment of image quality on the diagnostic performance of clinicians and deep learning models: Cross-sectional comparative reader study.

Background: Skin cancer is a prevalent and clinically significant condition, with early and accurate diagnosis being crucial for improved patient outcomes. Dermoscopy and artificial intelligence (AI) hold promise in enhancing diagnostic accuracy. However, the impact of image quality, particularly high dynamic range (HDR) conversion in smartphone images, on diagnostic performance remains poorly understood.

The Persian Version of the Fear of Progression Questionnaire's Short Form (FOPQ-SF): Psychometric Features Among Cancer Patients.

Introduction: Fear of progression (FOP) is a significant psychological concern among cancer patients. The Fear of Progression Questionnaire-Short Form (FOPQ-SF) is one of the significant and reliable tools to evaluate FOP. This study aims to validate the psychometric features of the Persian version of FOPQ-SF in Iranian cancer patients.

Risk factors for atherosclerotic cardiovascular disease (ASCVD) in healthcare professionals of Azar Cohort Study: A cross-sectional Study.

Background: Atherosclerotic cardiovascular disease (ASCVD) is considered a worldwide health problem associated with high morbidity, mortality, and cost of care. In the present study, we examined risk-enhancing factors for ASCVD in healthcare workers of the AZAR cohort population.

Methods: Data from a total of 500 participants were used for this cross-sectional study.