Artificial Intelligence Medical Compendium

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

Showing 59,331 to 59,340 of 227,876 articles

A deep learning-based model for automatic identification of mesopelagic organisms from in-trawl cameras.

PloS one Jan 21, 2026
Mesopelagic organisms play an important role in the ocean's carbon transport and food webs and have been regarded as a potential harvestable resource. Their extensive aggregations in the upper thousand meters of the water column are frequently detect... read more 

Downscaling local distribution of cattle over Guadeloupe archipelago: An adapted method for disaggregating census data.

PloS one Jan 21, 2026
Gridded livestock distribution datasets have been produced for several years and are used in various fields, including epidemiology, livestock impact assessment, and territory management. Those datasets are based on census conducted at national/sub-n... read more 

Text-to-image generation with enhanced GANs: Bridging semantic gaps using RNN and CNN.

PloS one Jan 21, 2026
Text-to-image generation is the process of generating images from a given text description. It is the most challenging task to produce consistently realistic images according to our conditions. We have considered this problem in our study and propose... read more 

Identification of hypoxia- and mitophagy-related diagnostic biomarkers for ulcerative colitis based on bioinformatic analysis and machine learning.

PloS one Jan 21, 2026
BACKGROUND: Ulcerative colitis (UC) is a chronic nonspecific inflammatory bowel disease of unknown etiology that is associated with a significant risk of progression to colorectal cancer. The aim of this study was to systematically identify hypoxia- ... read more 

Dharma: A novel, clinically grounded machine learning framework for pediatric appendicitis-Diagnosis, severity assessment and evidence-based clinical decision support.

PLOS digital health Jan 21, 2026
Acute appendicitis is a common but diagnostically challenging surgical emergency in children. Existing linear scoring systems lack sufficient accuracy for standalone use, while advanced imaging is constrained by risks of sedation, contrast, and radia... read more 

Cohort profile: The Dutch wound monitor cohort and the Swedish Region Halland Integrated Platform (RHIP) wound cohort.

PloS one Jan 21, 2026
Hard-to-heal wounds are a growing human and financial concern, constituting approximately 1-3% of the healthcare budget. Wound care is not a medical specialty and is often not prioritized within healthcare. A large portion of the cost and suffering c... read more 

STF: A Unified Framework for Joint Pixel-Level Segmentation and Tracking of Tissues in Endoscopic Surgery.

IEEE transactions on bio-medical engineering Jan 21, 2026
Endoscopic minimally invasive surgery relies on precise tissue video segmentation to avoid complications such as vascular bleeding or nerve injury. However, existing video segmentation methods often fail to maintain long-term robustness due to target... read more 

Large Language Models Improve Scene Invariant Detection of Behaviours of Risk in Dementia Residential Care Across Multiple Surveillance Camera Views.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Jan 21, 2026
Behavioural and psychological symptoms of dementia pose challenges to the safety and well-being of individuals in residential care. The integration of video surveillance in common areas of these settings presents a valuable opportunity for developing... read more 

An Explainable Molecular Token Estimation Method for Knowledge-aware Drug-Drug Interaction Prediction.

IEEE journal of biomedical and health informatics Jan 21, 2026
In molecular representation learning (MRL), tokens (e.g., atoms, motifs, and fingerprints) are the basic elements to represent molecules. It is a common practice by using various tokens to enhance the expressive power of Graph Neural Networks (GNNs) ... read more 

Dual Ontology-enhanced Clinical Decision Learning for First-admission Mortality Prediction.

IEEE journal of biomedical and health informatics Jan 21, 2026
Time-series based deep learning methods have significantly improved performance of predictive healthcare tasks on electronic health records (EHR) data. However, mortality prediction for first admissions is a huge challenge due to the absence of histo... read more 
Popular Topics
Recent Journals