Artificial Intelligence Medical Compendium

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

Showing 51,861 to 51,870 of 225,279 articles

Sharper than human eyes? A systematic review and meta-analysis of machine learning for retinal detachment detection.

European journal of ophthalmology Feb 10, 2026
Retinal detachment (RD) is a sight-threatening condition requiring rapid diagnosis to prevent vision loss. Artificial intelligence (AI), particularly machine learning (ML) and deep learning (DL), offers potential for improving diagnostic accuracy in ... read more 

Identifying Post-Surgical Recurrence Subtype of T1 Stage Colorectal Cancer by Machine Learning.

Digestion Feb 10, 2026
INTRODUCTION: Traditional risk stratification heavily relies on expert judgment and manually established thresholds. This study aims to automatically identify subtypes in the patients of T1-stage colorectal cancer with distinct clinicopathologic char... read more 

Beyond traditional stimuli: Validating AI-generated images for eliciting negative emotions in affect research.

PloS one Feb 10, 2026
Studies of emotion often rely on standardized stimulus sets to elicit affective responses. Although established databases provide images with normative valence and arousal ratings, selecting suitable stimuli can be difficult when experiments require ... read more 

Integrative bioinformatics and experiments identify RIBC2 as a key regulator in the esophageal cancer.

PloS one Feb 10, 2026
Early detection of esophageal cancer (EC) remains a major challenge due to the limited understanding of its initial molecular alterations. Therefore, this study aimed to identify the key molecular drivers involved in EC carcinogenesis. Human normal e... read more 

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 
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