Artificial Intelligence Medical Compendium

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

Showing 40,061 to 40,070 of 223,737 articles

Mitochondrial dysfunction and programmed cell death in Alzheimer's disease: A retrospective bioinformatics study.

Medicine Mar 20, 2026
Alzheimer's disease (AD) is a major cause of dementia, and this paper explores the unclear roles of mitochondrial dysfunction and programmed cell death in AD. Differentially expressed genes (DEGs) were identified using AD datasets GSE63061 and GSE630... read more 

Fuzzy logic for preanesthetic risk assessment in cataract surgery patients.

Medicine Mar 20, 2026
We aimed to build a fuzzy logic preanaesthetic risk score tailored to cataract surgery. By fusing systemic comorbidities with key patient attributes in an adaptive rule base, our goal was to generate patient-specific risk estimates that move beyond t... read more 

Developing and validating a clinically actionable prediction tool for Parkinson disease using explainable machine learning with multidimensional national data: A cross-sectional study.

Medicine Mar 20, 2026
Parkinson disease (PD) is a rapidly growing neurodegenerative disorder that presents a significant public health challenge in aging societies, particularly in China. Although genetic, clinical, and environmental risk factors have been well-establishe... read more 

Quantifying Multi-pollutant Co-exposure via Deep Learning-Based Simultaneous Prediction Using Geostationary Satellite Data.

Environmental science & technology Mar 20, 2026
Simultaneous prediction of multiple air pollutants is essential for quantifying human co-exposure and evaluating the health impacts of pollutant mixtures. However, spatial and temporal gaps in geostationary satellite observations, chemical transport ... read more 

Development of Reaction-Centered Encoders and Benchmarking of Enzyme-Reaction Pair Models.

Journal of chemical information and modeling Mar 20, 2026
Uncharacterized functions of enzymes represent an untapped opportunity to develop therapeutics, unlock the sustainable synthesis of materials, and understand the evolution of life-sustaining metabolic networks. Uncharacterized enzymes and reactions, ... read more 

Video Analysis in Surgery: Lessons From the Pitch?

Surgical innovation Mar 20, 2026
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Leveraging Residual Graph Convolutional Networks with Cross-Attention Mechanisms for High-Accuracy Protein Function Prediction.

Journal of chemical information and modeling Mar 20, 2026
Precise determination of protein functions is essential for elucidating cellular processes and pathological mechanisms, thereby facilitating targeted drug design. Although wet-lab experimental methods remain the gold standard to determine protein fun... read more 

Prediction of Prefecture-Level Subjective Well-Being in Japan by Using Google Trends and Socioeconomic Data: Machine Learning Model Development and Validation Study.

JMIR formative research Mar 20, 2026
Incorporating prespecified Google Trends indicators into leakage-controlled stacked-ensemble models improved a 2025 holdout prediction of subjective well-being by using 2022-2025 data from Japan's 47 prefectures, reducing the mean squared error from ... read more 

Scalable and Robust Artificial Intelligence for Spine Alignment Assessment: Multicenter Study Enabled by Real-Time Data Transformation.

Journal of medical Internet research Mar 20, 2026
BACKGROUND: Artificial intelligence (AI) has shown promise for automating spinal alignment assessment in adolescent idiopathic scoliosis (AIS). However, AI models typically exhibit reduced accuracy and robustness when deployed across multiple medical... read more 

Ligand Conformational Variability Enhances Machine Learning Prediction of Protein-Ligand Binding Affinity.

The journal of physical chemistry. B Mar 20, 2026
Rapid and accurate screening of protein-ligand binding affinities using machine learning (ML) remains a challenging yet critical task in drug discovery. In this work, two closely related challenges are addressed: the inherent sensitivity of the bindi... read more 
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