Artificial Intelligence Medical Compendium

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

Showing 471 to 480 of 200,021 articles

Constructing targeted minimum loss/maximum likelihood estimators: a simple illustration to build intuition.

American journal of epidemiology
Machine learning is increasingly used to estimate nuisance functions in causal inference. The efficient influence function (EIF) offers a principled way to construct estimators that can incorporate machine learning with valid inference (eg, estimate ... read more 

Profiling cognition and brain metabolism in amyotrophic lateral sclerosis and frontotemporal dementia.

Brain : a journal of neurology
Amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD) are described as a disease continuum, given their shared clinical, genetic and pathological characteristics. Comparisons of clinical and biomarker features within the ALS and behav... read more 

Impact of an Ambient AI Scribe on Medical Student Objective Structured Clinical Examination Notes: Nonrandomized Clinical Trial.

JMIR medical education
BACKGROUND: Ambient artificial intelligence (AI) scribes for chart documentation have seen rapid adoption in clinical practice, but their educational impact on medical students has not been described. OBJECTIVE: The purpose of this study was to deter... 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