Artificial Intelligence Medical Compendium

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

Showing 3,711 to 3,720 of 203,255 articles

Large Language Model Hallucinations in Spine Surgery: A Comparative Analysis of Clinician vs Patient-Level Prompts.

Neurosurgery practice
BACKGROUND AND OBJECTIVES: Large Language Models (LLMs) are increasingly used by healthcare professionals and patients for medical information synthesis. Unfortunately, their tendency to generate fabricated information ("hallucinations") poses a sign... read more 

Rethinking cognitive recalibration: Integrating AI into the management of affordances across the life-stages.

The Behavioral and brain sciences
This paper integrates artificial intelligence into affordance management to quantify and simulate perceived opportunities and threats across the life course. Using computer vision, reinforcement learning, and digital twins, we outline methods to capt... read more 

Autogenic transitions in individuality.

Comptes rendus biologies
Major evolutionary transitions in individuality occur when previously independent entities become components of a new unit whose parts share a reproductive fate. Most discussions focus on transitions arising through the integration of independent lin... read more 

Complex in vitro model developers' perspective on advanced hepatic in vitro culture methods for predictive drug safety.

Expert opinion on drug metabolism & toxicology
INTRODUCTION: Adverse drug reactions remain a major barrier to drug development, with hepatotoxicity representing a persistent cause of clinical failure, market withdrawal, and post marketing restrictions. Global surveys report hundreds of withdrawal... read more 

Specific-Source Insights into Changes of O3 Concentrations and Health Risks in China.

Environmental science & technology
Quantifying source-specific ozone concentrations is essential for formulating precursor emission control policies and assessing associated health risks. However, the formulation of targeted O3 policies is currently impeded by the limited accuracy of ... read more 

Counting papers or counting patients? Reframing surgical excellence in low-and middle-income countries.

Cardiology in the young
The increasing reliance on bibliometric indicators to define academic success has reshaped surgical training and evaluation worldwide. While research productivity plays a critical role in advancing medical knowledge, its growing dominance as a surrog... read more 

Global Characterization of Sea Turtle Ecological Traps under Compound Marine Heatwaves and Microplastics.

Environmental science & technology
The concurrent intensification of marine heatwaves (MHW) and microplastics (MPs) pollution presents a complex challenge for environmental risk assessment in the Anthropocene. However, the mechanisms governing organismal responses to these compound pe... read more 

Speech-based machine learning for detecting neuropsychiatric symptoms in Alzheimer's disease.

Journal of Alzheimer's disease : JAD
BackgroundNeuropsychiatric symptoms (NPS) are common in Alzheimer's disease (AD) and mild cognitive impairment (MCI), yet their detection relies on subjective assessments. Speech features offer a promising objective biomarker for NPS, reflecting emot... read more 

Obstruction-Mediated Breakup of Shear-Thinning Droplets in Microfluidic Environment: Experiments, Simulations, and ANN Insights.

Langmuir : the ACS journal of surfaces and colloids
We report the breakup dynamics of shear-thinning droplets in microfluidic environment through a comprehensive integration of experiments, numerical simulations, and machine learning (ML). Particularly, we investigate the breakup of droplets interacti... read more