Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 61,241 to 61,250 of 228,300 articles

Increasing engagement with cognitive-behavioral therapy (CBT) using generative AI: a randomized controlled trial (RCT).

Communications medicine
BACKGROUND: Shortages in mental healthcare lead to long periods of inadequate support for many patients. While digital interventions offer a scalable solution to this unmet clinical need, patient engagement remains a key challenge. Generative artific... read more 

Distribution of device-measured 24-h movement behaviors in older adults: cross-sectional findings from the HUNT4 study.

Scientific reports
Comprehensive mapping of key physical activity (PA) types, postures, and sleep among older adults is important for informing public health policies and interventions. This study aimed to describe the 24-h time distribution of key PA types, postures, ... read more 

Modeling Ischemic Stroke Pathological Dynamics via Continuous Fields and Vector Flow.

NPJ digital medicine
Precise localization of perfusion deficits in diffusion-weighted MRI (DWI) is critical for acute ischemic stroke management. However, existing deep learning methods typically produce discrete binary masks, failing to capture the continuous nature of ... read more 

Pain assessment using physiological responses/markers in different types of pain: a scoping review.

NPJ digital medicine
Pain is a complex multidimensional experience that integrates sensory and emotional components, presenting significant challenges for accurate assessment in clinical practice. Traditional methods of pain evaluation rely on subjective self-reporting a... read more 

Exploration of Mental Health and Stress Among Nursing Interns Through a Chatbot: A Single-Group Pilot Study.

Nurse educator
BACKGROUND: Nursing interns face early clinical distress; chatbot-based mental health tools show promise, although evidence of their feasibility and educational value remains insufficient. PURPOSE: To evaluate the application feasibility and effectiv... read more 

Considerations for the Adoption of Digital Algorithms and Cardiovascular Decision-Support Tools in Clinical Practice.

Critical pathways in cardiology
AIMS: Early detection of cardiovascular disease and implementation of evidence-based treatments can reduce cardiovascular morbidity and mortality. Medical algorithms and decision-making tools provide a compelling option for screening, risk prediction... read more 

Key Advancements and Emerging Trends of Perovskite Solar Cells in 2024-2025.

Nano-micro letters
The past two years have witnessed remarkable progress in perovskite solar cells (PSCs), marked by breakthroughs in power conversion efficiency and strides in addressing long-term operational stability. At present, the certified power conversion effic... read more 

Accelerated brain aging in amyotrophic lateral sclerosis and its prognostic associations: a cohort study.

BMC medicine
BACKGROUND: Amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disease, appearing to be associated with accelerated brain aging. Although increased brain age has been associated with mortality risk in older adults, it remains unclear ho... read more 

Artificial intelligence-driven clustering for phenotyping life-threatening prehospital trauma.

Scandinavian journal of trauma, resuscitation and emergency medicine
BACKGROUND: Traumatic patients usually suffer from several complex conditions that hinder their risk characterization. The aim of this study was to derive phenotypes of prehospital acute life-threatening trauma via nonsupervised artificial intelligen... read more