Artificial Intelligence Medical Compendium

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

Showing 57,151 to 57,160 of 227,153 articles

AI-Driven nanofiber platforms for essential oil delivery in dry period cows: a sustainable strategy against mastitis and antimicrobial resistance.

Microbial pathogenesis Jan 29, 2026
The routine utilisation of prophylactic antibiotics in dairy cows during the dry period has been demonstrated to accelerate the rise of antimicrobial resistance, constituting a significant challenge within the One Health framework. The incorporation ... read more 

Multicenter Prospective Cohort Study on Clinical Outcomes and Fibrosis Patterns in Biopsy-Proven Steatotic Liver Disease Subtypes.

Gastroenterology Jan 29, 2026
BACKGROUND & AIMS: Clinical outcomes and histological characteristics of biopsy-proven steatotic liver disease (SLD) subtypes remain understudied. We investigated clinical outcomes and fibrosis patterns in metabolic dysfunction-associated steatotic l... read more 

Deep Learning Model with Nodule Indexing Tailored to Early-Stage Lung Cancer Detection.

Journal of the American College of Radiology : JACR Jan 29, 2026
OBJECTIVE: To evaluate whether a deep learning-based AI system with suspected nodule indexing and malignancy risk stratification improves radiologist performance in detecting pulmonary nodules on CT, using a dataset enriched with challenging early-st... read more 

Identification of Pyrrolo[2,3-d]pyrimidine-Based Dual MERTK and FLT3 Inhibitor: Hit-to-Lead, Machine Learning, Modeling, Synthesis, and Biological Evaluation.

European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences Jan 29, 2026
Overexpression of MERTK and FLT3 plays a crucial role in activating signal transduction pathways in various human hematological malignancies. These signaling pathways have been extensively studied and have shown significant potential as a promising t... read more 

Sex differences in cognitive function trajectories and influencing factors in older adults: A machine learning study based on CHARLS and HRS.

Journal of affective disorders Jan 29, 2026
BACKGROUND: Identify the influencing factors that respectively affect the differences in cognitive function trajectories between China and the United States, and explore the reasons for gender and transnational differences. METHODS: Five waves of dat... read more 

Development and multi-center validation of a school-home integrated machine learning model for early screening of attention-deficit/hyperactivity disorder in school-aged children.

Journal of affective disorders Jan 29, 2026
BACKGROUND: Attention-deficit/hyperactivity disorder (ADHD) is frequently under-identified in community settings, delaying necessary intervention. This study aimed to develop and validate a multidimensional Early Screening Prediction Model (ESPM-ADHD... read more 

"Comprehensive multi-omics of age-respective plasma and matrix-bound extracellular vesicles identifies anti-fibrotic miRNAs validated on a heart-on-a-chip".

Biomaterials Jan 29, 2026
Aging is a major risk factor for cardiovascular disease, the leading cause of death worldwide, and numerous other diseases, but the mechanisms of these aging-related effects remain elusive. Recent evidence suggests that chronic changes in the microen... read more 

HP-GAN: Harnessing pretrained networks for GAN improvement with FakeTwins and discriminator consistency.

Neural networks : the official journal of the International Neural Network Society Jan 29, 2026
Generative Adversarial Networks (GANs) have made significant progress in enhancing the quality of image synthesis. Recent methods frequently leverage pretrained networks to calculate perceptual losses or utilize pretrained feature spaces. In this pap... read more 

An interactive axial feature selection network for medical image classification.

Neural networks : the official journal of the International Neural Network Society Jan 29, 2026
To address the differences and correlations between features, as well as to fully utilize the importance of salient semantics in medical image classification tasks, this paper proposes an Interactive Axial Feature Selection Network (IAFSNet), aimed a... read more 

Cross-view contrastive representation learning on meta-path induced graphs with node features for bundle recommendation.

Neural networks : the official journal of the International Neural Network Society Jan 29, 2026
Bundle recommendation is designed to suggest a set of correlated items to a user in a holistic manner rather than recommending these items separately. Recent methods introduce contrastive learning (CL) to refine the node representations learned from ... read more 
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