Latest AI and machine learning research in clinical trials for healthcare professionals.
BACKGROUND: Indoor navigation remains a major challenge for people with visual impairments, affecting autonomy, safety, and quality of life. While navigation‑based assistive technologies leveraging artificial intelligence and mobile computing show promise, their adoption remains limited due to insufficient user-centered and context-aware design. OBJECTIVE: This study aimed to co-design Edge A-Eye,...
BACKGROUND: Artificial Intelligence (AI) is rapidly transitioning from experimental research to daily medical practice, yet the medical community's understanding of these tools remains largely confined to visible 'front-end' applications with which the clinician can directly interact (such as decision support systems and conversational agents). This perspective overlooks the proliferation of 'back...
BACKGROUND AND PURPOSE: Stroke is a leading cause of disability, associated with impaired motor function and brain connectivity. Mental Simulation Pra...
OBJECTIVE: Artificial intelligence (AI) is beginning to be used within digital surgical wound monitoring to facilitate implementation at scale. AI acc...
INTRODUCTION: Artificial intelligence (AI) is increasingly proposed as a means of shortening drug-discovery timelines, although its practical impact v...
BACKGROUND: Software-based and AI-enabled medical devices are increasingly networked and updatable, expanding the attack surface and making cybersecur...
The growing frequency of emerging infectious diseases, antimicrobial resistance, and accidental or deliberate biological threat releases underscores t...
Forward head posture (FHP), considered a neuromusculoskeletal disorder, includes those associated with breastfeeding. Pilates is recognized for improv...
Large language models (LLMs) are increasingly explored in radiology, yet concerns persist regarding hallucination and lack of factual grounding. Retri...
Artificial intelligence (AI) has been developing as a field for decades. As acute care surgeons, we have been using AI in the clinical realm and in ou...
Radiology occupational safety has historically centred on radiation protection. Although radiation safety remains essential, the digital transformatio...
Pharmacovigilance is the science involving the detection, assessment, understanding, and prevention of adverse events associated with drugs, biologics...
Purpose To develop and evaluate a new deep learning-based risk model that explicitly captures bilateral and longitudinal asymmetries on sequential mam...
BACKGROUND: Agriculture is widely acknowledged as a dangerous industry for workers. Agriculture workers are also older compared with other industries,...
Synapses are the fundamental units of neural computation, yet quantifying their organization across circuit-level scales remains a critical bottleneck...
BACKGROUND: Hypospadias is a common congenital malformation requiring surgery. Caregivers face substantial perioperative information needs, and large ...
This editorial introduces the annual themed issue of the Journal of Pharmacological and Toxicological Methods (JPTM) dedicated to methodologies in saf...
Drug-induced renal injury (DIRI) remains a major cause of drug attrition and post-marketing safety concerns, highlighting the need for reliable early-...
Ensuring the safety of Artificial Intelligence-enabled Computer-Aided Diagnosis systems is critical because diagnostic errors can have serious consequ...
This study developed and prospectively validated a deep learning-based automated preoperative planning system for developmental dysplasia of the hip (...