Artificial Intelligence Medical Compendium
Explore the latest research on artificial intelligence and machine learning in medicine.
Showing 2,771 to 2,780 of 235,381 articles
Editorial Commentary: Measuring Surgical Success in Athletes Requires More Than Generic Scores: It Is Time to Prioritize Athlete-Specific Outcomes.
Arthroscopy : the journal of arthroscopic & related surgery : official publication of the Arthroscopy Association of North America and the International Arthroscopy Association
Oct 9, 2026
Shoulder instability disproportionately affects young contact and collision athletes, for whom successful treatment requires more than the restoration of basic shoulder function. Recent systematic review reveals that conventional patient-reported out... read more
Brittle Star-Inspired Composites With Excellent Tribopositivity, Tensile Properties, and Self-Healing Capability for Self-Powered Flexible Sensors.
Small methods
Oct 9, 2026
Self-powered sensing devices for human-machine interaction suffer from poor mechanical robustness, fragile structural stability, and fluctuating sensing signals under cyclic deformation, severely restricting their long-term operational reliability. I... read more
PLEKHA5-targeted photothermal-gene combination therapy via mPDA@DMEA@siRNA nanoparticles suppresses melanoma progression.
Journal of biomaterials applications
Oct 9, 2026
Melanoma is an aggressive skin malignancy characterized by high metastatic potential and resistance to current systemic therapies, highlighting the need for novel molecularly targeted and minimally invasive treatment strategies. Photothermal therapy ... read more
Accelerating SCF Convergence Through Equivariant Density-Matrix Learning and Analytic Refinement.
Chemistry (Weinheim an der Bergstrasse, Germany)
Oct 9, 2026
We present dm-PhiSNet, a physically constrained PhiSNet-based equivariant model that predicts one-electron reduced density matrices (1-RDMs) directly from molecular geometries in an atomic-orbital (AO) basis to accelerate self-consistent-field (SCF) ... read more
Generative artificial intelligence in ergonomic risk assessment: A comparative analysis of REBA scores by human and AI raters.
Work (Reading, Mass.)
Oct 9, 2026
BackgroundWork-related musculoskeletal disorders are a major occupational health concern, and REBA is widely used to evaluate postural risk. The role of generative artificial intelligence (AI) in REBA scoring remains insufficiently examined.Objective... read more
AI assistants for cancer pain management: A comparative evaluation of ChatGPT and Gemini responses in terms of response quality and readability.
Work (Reading, Mass.)
Oct 9, 2026
BackgroundCancer pain is common and distressing in oncology patients, who often seek management information via online and AI-based tools.ObjectiveThis study aimed to evaluate the quality and readability of responses provided by ChatGPT-4 and Gemini-... read more
Artificial Intelligence Training for Informatics Students and Pharmacy Residents.
American journal of health-system pharmacy : AJHP : official journal of the American Society of Health-System Pharmacists
Oct 9, 2026
Performance of a ChatGPT-based ergonomic assessment for desk-working posture in young adults.
Work (Reading, Mass.)
Oct 9, 2026
BackgroundArtificial intelligence (AI)- supported ergonomic assessments identify occupational musculoskeletal risks, though agreement with physiotherapist-based evaluations remains insufficiently studied to date.ObjectiveThis study aimed to investiga... read more
The Mediating role of attitudes towards artificial intelligence in the effect of healthcare workers' levels of cognitive flexibility on innovative work behaviour.
Work (Reading, Mass.)
Oct 9, 2026
BackgroundDigital transformation in healthcare requires healthcare professionals to adapt to emerging technologies and exhibit innovative work behaviors. Cognitive flexibility is an important individual characteristic that facilitates adaptation to c... read more
Development and Validation of a Machine Learning Model for Predicting 28-Day Mortality in Patients with Sepsis-Associated Encephalopathy and Heart Failure.
Journal of intensive care medicine
Oct 9, 2026
IntroductionPatients with sepsis-associated encephalopathy (SAE) and heart failure (HF) represent a clinically relevant but understudied subgroup in the intensive care unit, and early risk stratification may be important for guiding management. This ... read more
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- Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 1686
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