Artificial Intelligence Medical Compendium

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

Showing 38,641 to 38,650 of 223,469 articles

Prospective Evidence on Artificial Intelligence-Assisted Melanoma Diagnostics: A Systematic Review and Meta-Analysis.

JAMA dermatology
IMPORTANCE: Dermoscopy is a standard of care for melanoma diagnostics, and artificial intelligence (AI) systems are increasingly investigated as decision-support tools. Prospective evidence is essential to assess their performance compared to dermato... read more 

Robot-Assisted Therapy for Upper Limb Rehabilitation After Stroke: Umbrella Review.

Journal of medical Internet research
BACKGROUND: Stroke is a leading cause of long-term upper limb disability, severely impacting patients' independence and quality of life. Robot-assisted therapy (RAT) has emerged as a promising, high-intensity rehabilitation alternative. However, conc... read more 

Systems-level integration of machine learning, SHAP explainability, PCA, and network topology reveals multitarget protective actions of tannic acid against doxorubicin toxicity in pentose phosphate pathway.

Naunyn-Schmiedeberg's archives of pharmacology
Doxorubicin (DOX) is an effective chemotherapeutic agent; however, its clinical use is limited due to dose-dependent toxicities. This study aimed to investigate the potential protective effect of tannic acid (TA), a natural polyphenol with antioxidan... read more 

Personalized prediction of initial valproic acid dose in children with epilepsy using machine learning techniques.

International journal of clinical pharmacy
INTRODUCTION: Valproic acid (VPA) is widely prescribed antiepileptic drug in children because of its broad-spectrum efficacy. However, marked inter-individual variability in pharmacokinetics makes dose optimization challenging. Inappropriate initial ... read more 

Evaluation of large language models in supporting autoimmune liver disease diagnosis and clinical decision-making: advantages of reasoning-based models.

International journal of clinical pharmacy
INTRODUCTION: Large-language models (LLMs) have demonstrated increasing potential in healthcare, including applications in clinical information retrieval, medical reasoning, and decision support. Autoimmune liver diseases (AILDs), including autoimmun... read more 

Psychophysiological markers of trust in automation: insights from ERP responses in a modified flanker task.

Cognitive research: principles and implications
This study investigated the sensitivity of event-related potentials (ERP) to factors influencing trust in machine learning (ML) automation, specifically ML reliability, bias, and transparency, with the goal of identifying an electrophysiological mark... read more