Artificial Intelligence Medical Compendium

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

Showing 51,741 to 51,750 of 225,182 articles

AI-based prediction of recurrence after carbon ion radiotherapy for early stage non-small cell lung cancer.

PloS one Feb 10, 2026
Lung cancer is a leading cause of cancer-related deaths. Carbon ion radiotherapy (CIRT) is a treatment modality for patients with inoperable conditions or who decline surgery, but there is room for research to identify patients at high risk of recurr... read more 

A machine learning classifier to identify and prioritise genes associated with murine cardiac development.

PLoS genetics Feb 10, 2026
Congenital heart disease (CHD) is a major cause of infant mortality and presents life-long challenges to individuals living with these conditions. Genetic causes are known for only a minority of types of CHD. Discovering further genetic causes is lim... read more 

Artificial intelligence agents in healthcare research: A scoping review.

PloS one Feb 10, 2026
INTRODUCTION: Artificial Intelligence (AI) agents are rapidly transforming healthcare delivery, enabling real-time decision support and sophisticated patient interaction at scale. However, the scientific landscape of this rapidly growing, multidiscip... read more 

The impact of digital intelligence technologies on innovation performance: Evidence from specialized, refined, differential and innovative enterprises.

PloS one Feb 10, 2026
The integration of digital and intelligent technologies has created new opportunities for the innovative growth of Specialized, Refined, Differential, and Innovative (SRDI) enterprises in China. This study examines SRDI enterprises listed on the Shan... read more 

Mechanism of Ag+-Induced Folding of a Bacterial Peptide from Replica-Exchange Molecular Simulations.

The journal of physical chemistry letters Feb 10, 2026
Interactions between proteins and metal cations are central to biochemical processes and shape protein structures. SilE, an intrinsically disordered protein involved in bacterial silver resistance, folds into α-helices upon binding Ag+ ions. Focusing... read more 

ChemRefine: An Open-Source Automated and Interoperable Platform for Machine Learning and Quantum Chemistry Simulations.

Journal of chemical theory and computation Feb 10, 2026
The role of machine learning in computational chemistry is growing rapidly, promising expedited tasks while improving prediction accuracy. However, the interface of newly developed machine-learned interatomic potentials (MLIPs) with existing computat... read more 

Addressing Climate Change Impacts on Vector-Borne Infectious Diseases: Can Artificial Intelligence Help?

The American journal of tropical medicine and hygiene Feb 10, 2026
Human-induced climate change caused by fossil fuel-derived greenhouse gas emissions has disrupted global ecosystems, shifted disease-vector populations, and expanded vector-borne diseases into previously unaffected areas. As these changes occur, trad... read more 

Digitized Canine Olfaction and Multimodal Biosensing for Breath-Based Multi-Cancer Detection: A Hypothesis-Driven Perspective.

Journal of breath research Feb 10, 2026
Multi-Cancer Early Detection (MCED) is critical for reducing cancer mortality, however current screening technologies have limitations in accessibility, cost, and early stage sensitivity. Breath-based detection using volatile organic compounds (VOCs)... read more 

Drug Repositioning by Belief Networks and Ensemble Method.

Biomedical physics & engineering express Feb 10, 2026
The approach of drug repositioning, recognized as an efficient strategy to reduce costs and shorten development timelines in the pharmaceutical industry, has garnered significant interest among researchers. With vast datasets rich in valuable insight... read more 

EEG foundation models: A critical review of current progress and future directions.

Journal of neural engineering Feb 10, 2026
PREMISE: Patterns of electrical brain activity recorded via electroencephalography (EEG) offer immense value for scientific and clinical investigations. The inability of supervised EEG encoders to learn robust EEG patterns and their over-reliance on ... read more 
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