Artificial Intelligence Medical Compendium

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

Showing 1 to 10 of 229,091 articles

Artificial intelligence in orthopaedics should be built with surgeons, not just for them!

Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA Sep 30, 2026
Surgical artificial intelligence (AI) is typically validated on one patient population and then deployed unchanged into another, without surgeon input into its design. AI in orthopaedics should be built with surgeons, not simply for them: Surgeons sh... read more 

Integrative Multi-Omics and Machine Learning Reveal Senescent Fibroblast-Associated ADAMTS2 as a Critical Indicator of Intestinal Inflammation in IBD.

FASEB journal : official publication of the Federation of American Societies for Experimental Biology Sep 30, 2026
Although cellular senescence contributes to tissue dysfunction in inflammatory bowel disease (IBD), the heterogeneity of senescence at the single-cell resolution remains poorly defined. In this study, we systematically characterized the senescence la... read more 

Identifying JAK2 and ANXA5 as Key Genes Linking Obstructive Sleep Apnea and Oxidative Stress via Machine Learning and Multilayer Transcriptomic Integration With Functional Validation.

FASEB journal : official publication of the Federation of American Societies for Experimental Biology Sep 30, 2026
Obstructive sleep apnea (OSA) is a common and severe sleep disorder closely associated with oxidative stress (OS). This study aims to identify and validate potential OS-related genes associated with OSA through bioinformatics methods. We successfully... read more 

Unveiling the Diagnostic Value and Potential Therapeutic Targets of Phenylalanine Metabolism in Pancreatic Cancer via Integrated Multi-Omics and Machine Learning.

FASEB journal : official publication of the Federation of American Societies for Experimental Biology Sep 30, 2026
Pancreatic cancer (PC) presents a significant global health challenge because of its high mortality rate, highlighting the urgent requirement for effective early diagnostic and therapeutic strategies. This study examined the function of phenylalanine... read more 

Identifying JAK2 and ANXA5 as Key Genes Linking Obstructive Sleep Apnea and Oxidative Stress via Machine Learning and Multilayer Transcriptomic Integration With Functional Validation.

FASEB journal : official publication of the Federation of American Societies for Experimental Biology Sep 30, 2026
Obstructive sleep apnea (OSA) is a common and severe sleep disorder closely associated with oxidative stress (OS). This study aims to identify and validate potential OS-related genes associated with OSA through bioinformatics methods. We successfully... read more 

Engineering defensins: Heterologous expression strategies from genetic engineering to synthetic biology.

Biotechnology advances Sep 29, 2026
Defensins are a structurally diverse class of host defense peptides with broad-spectrum antimicrobial and immunomodulatory activities. Their broader applications in biomedicine and biotechnology, however, remain constrained by limited natural availab... read more 

Expression of Concern: Identifying key determinants of health among China's migrant population using machine learning methods: Evidence from the china migrants dynamic survey.

PloS one Sep 29, 2026
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The cost of ensembling: Is it always worth combining global retail forecasting models?

PloS one Sep 29, 2026
Given the continuous increase in dataset sizes and the complexity of forecasting models, the trade-off between forecast accuracy and computational cost is emerging as an extremely relevant topic, especially in the context of ensemble learning for tim... read more 

Deep learning for cardiac CT segmentation for congenital heart disease: A systematic review.

PloS one Sep 29, 2026
PURPOSE: Deep Learning (DL) has transformed cardiac image segmentation, yet its application to congenital heart disease (CHD) remains underexplored, with no prior systematic review in this emerging domain. This review evaluates current DL approaches ... read more 

3D SE-ResUNet for Accurate Dose Prediction in Head and Neck IMRT: a Structure-Specific Ensemble Approach.

Biomedical physics & engineering express Sep 29, 2026
Accurate three-dimensional dose prediction is important for automated treatment planning and radiotherapy in head and neck cancer. This study investigates an ensemble-based deep learning framework for dose prediction from computed tomography (CT) ima... read more 
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