Objectives To develop and validate educational clinical vignettes (CVs) based on real-life patients with serious pathology from the disciplines of oncology, internal medicine and orthopaedics that are ...

By utilizing a standardized methodology for evaluating novel digital measures, sDHT developers, biostatisticians and clinical researchers will be able to navigate the complex validation landscape more ...

1 Department of Clinical Laboratory, Hangzhou Third People’s Hospital, Hangzhou, Zhejiang, China 2 Department of Dentistry, Tianshui Wulin Subdistrict Community Health Service Center, Gongshu District ...

Abstract: Existing research suggests that lower limb exoskeleton robots, when used for rehabilitation training based on the pre-stroke gait trajectories of stroke patients, may be more beneficial for ...

Introduction: Population genetic screening is rapidly emerging as a key methodology in the clinical laboratory for detecting actionable genomic conditions in asymptomatic patients. While current ...

Abstract: Objective: Neonatal late-onset sepsis (LOS) is a life-threatening condition in preterm infants in neonatal intensive care units (NICUs), with early detection being crucial for improving ...

NEW YORK – Personalized cancer firm Artera this week presented four studies on its multimodal artificial intelligence (MMAI) digital pathology-based risk stratification platform at the annual ...

Health care leaders may want to keep a closer eye on clinical validation for artificial intelligence (AI)-enabled medical devices (AIMDs), based on a recent JAMA Health Forum study. The study examined ...

Artificial intelligence-enabled medical devices with no clinical validation were more likely to be the subject of recalls, according to a study published in JAMA Health Forum. The study, published on ...