Latest AI and machine learning research in clinical trials for healthcare professionals.
Intracranial hemorrhage (ICH) is an emergency clinical condition that requires rapid diagnosis. In patients with suspected ICH, head computed tomography (CT) is the first-line imaging modality because it provides fast results. In recent years, interest has increased in 3D deep learning approaches for automated scan-level ICH detection. However, real-world deployability is limited by high computati...
This study aimed to evaluate the clinical safety, informational completeness, and patient-centered language of responses generated by four large language model (LLM)-based systems to standardized periodontal complaint-based queries. Seven standardized symptom-based periodontal queries were developed based on commonly reported patient complaints and submitted in Turkish to Copilot, Gemini, Claude, ...
BACKGROUND: Older adults in affordable housing face heightened risks of social isolation and loneliness due to limited social networks, transportation...
BACKGROUND: Medical errors occur more frequently in health care than in other industries due to challenges in patient safety education for nurses and ...
INTRODUCTION: The exponential growth of biomedical data hinders the rapid adoption of evidence-based practices in the Military Health System. This is ...
BACKGROUND: Artificial intelligence is an increasingly valuable tool in ischemic stroke management. This systematic review and meta-analysis evaluated...
OBJECTIVE: Polycystic ovary syndrome (PCOS) is a leading cause of female infertility, and early pregnancy outcomes in affected women are affected by m...
Saphenous vein graft (SVG) percutaneous coronary intervention (PCI) remains technically challenging and clinically high risk due to the friable, throm...
OBJECTIVE: To synthesize contemporary developments in head and neck oncologic free flap reconstruction, with emphasis on perioperative physiologic opt...
Drug repurposing involves the discovery of new therapeutic uses of existing drugs that have already been approved by the regulatory authorities. It pr...
OBJECTIVE: Artificial intelligence (AI) demonstrates significant potential in medical imaging diagnosis, yet its real-world clinical value requires va...
Transfusion medicine has practiced a form of precision medicine for decades through compatibility testing, infectious disease screening, component man...
BACKGROUND: Diabetic retinopathy (DR) and age-related macular degeneration (AMD) are 2 of the leading causes of vision loss worldwide. As population a...
BACKGROUND: Generative artificial intelligence (GenAI) can automate time-intensive tasks and support clinical decision-making in care settings. Nurses...
Generative artificial intelligence offers personalized patient education, yet clinical inaccuracy and lack of theoretical grounding threaten health ca...
The rapid emergence of multidrug-resistant (MDR) bacteria has increased interest in bacteriophage therapy as a promising alternative to conventional a...
Growing evidence indicates that disruption of the microbiota-gut-brain (MGB) axis is a key factor in autism spectrum disorder (ASD), affecting neurode...
INTRODUCTION: Drug discovery remains constrained by high attrition rates and the fragmented evaluation of exposure, efficacy, and safety. Mechanistic ...
Medically specialized AI systems that have obtained regulatory clearance as medical devices can be deployed for patient-specific clinical decision sup...
BACKGROUND: Large language models (LLMs) are increasingly embedded in medical education and clinical care settings, yet contemporary Canadian data des...