Artificial Intelligence Medical Compendium

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

Showing 21,881 to 21,890 of 216,627 articles

Clinical and quality of life predictors in patients with schizophrenia with and without substance use disorder.

Progress in neuro-psychopharmacology & biological psychiatry
The comorbidity of schizophrenia (SZ) and substance use disorder (SUD), also known as dual schizophrenia (SZ+), represents a clinical challenge due to its high prevalence and impact on prognosis and quality of life. However, evidence of its different... read more 

Opportunistic screening for osteoporosis using chest X-rays and deep learning: A systematic review and meta-analysis.

Bone
PURPOSE: To evaluate the diagnostic performance of deep learning (DL) algorithms applied to chest radiographs (CXR) for detecting osteoporosis and assess their potential for clinical implementation. METHODS: A systematic review and meta-analysis was ... read more 

Confidence-Accuracy Alignment in Cardiology Knowledge: Comparing Medical-Specific and General-Purpose Large Language Models Using ACCSAP.

The American journal of cardiology
Large language models (LLMs) are increasingly integrated into healthcare, yet their clinical reliability depends not only on accuracy but also on confidence calibration. General-purpose models have demonstrated strong performance on medical knowledge... read more 

The Eighth Question of Artificial Intelligence in Interventional Radiology.

Journal of vascular and interventional radiology : JVIR
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Advanced intelligent drug-device combination systems: regulatory landscapes, technological foundations, and clinical translation.

Advanced drug delivery reviews
Drug-device combinations (DDCs) have evolved from simple drug-coated implants into sophisticated intelligent platforms capable of real-time sensing, adaptive drug delivery, and closed-loop therapeutic control. This transformation is driven by converg... read more 

Multiple Targets and Pathways Non-Monotonically Regulate Lung Squamous Cell Carcinoma Migration in Response to Phthalates.

Food and chemical toxicology : an international journal published for the British Industrial Biological Research Association
Phthalates (PAEs) are widely used plasticizers that are increasingly linked to tumorigenesis. In this study, we integrated network toxicology and machine learning to elucidate the potential mechanisms of PAEs in lung squamous cell carcinoma (LUSC). B... read more 

Auditory brainstem response in pigs: normative data and insights from TPC2 knockout models.

Hearing research
BACKGROUND: Pigs are increasingly used as translational models for auditory research due to anatomical and physiological similarities with humans. However, normative auditory brainstem response (ABR) parameters in commercial pig breeds remain poorly ... read more 

Top five Alzheimer Disease trial eligibility criteria favor men compared to women in a clinic-based cohort.

The journal of prevention of Alzheimer's disease
BACKGROUND: Less women participate in Alzheimer Disease (AD) trials compared to their estimated representation in the global dementia population. OBJECTIVES: We aimed to apply five most commonly used eligibility criteria to a real-world memory clinic... read more 

Road traffic accident severity prediction based on large-scale data and multi-dimensional factors: an explainable ensemble learning approach.

Accident; analysis and prevention
Road traffic accidents cause substantial fatalities and economic losses, yet large-scale severity analysis is often constrained by limited access to high-resolution roadway and geometric data. This study constructs a large-scale, multi-source dataset... read more