Artificial Intelligence Medical Compendium

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

Showing 29,871 to 29,880 of 219,931 articles

Pretraining effective T5 generative models for clinical and biomedical applications.

PloS one Apr 17, 2026
This paper presents a study of the impact of corpus selection and vocabulary design on the performance of T5-based language models in clinical and biomedical domains. We introduce five different T5-EHR models, each pretrained from scratch using diffe... read more 

Repeatability of automated body composition measurement on low dose chest CT in male subjects.

PloS one Apr 17, 2026
BACKGROUND: The objective was to determine the most repeatable of three automated body composition methods applied to baseline and short-term follow-up chest CT scans. METHODS: Areas of skeletal muscle and subcutaneous adipose tissue (SAT) were analy... read more 

Trip Detection Algorithms for Healthy and Amputee Individuals.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Apr 17, 2026
Amputation disrupts normal gait biomechanics, reducing strength, balance, and toe clearance. These factors contribute to an increase in falls in amputees, leading to both physical injury and psychological burden. Powered and microprocessor prosthetic... read more 

BC-GTM: A Bidirectional Causal Graph Transformer Mapping for Modeling Brain Structural and Functional Connectivity.

IEEE transactions on bio-medical engineering Apr 17, 2026
OBJECTIVE: Understanding the relationship between structural connectivity (SC) and functional connectivity (FC) is essential for advancing our understanding of brain function and organization. Recently, deep learning techniques, especially graph neur... read more 

Ensemble Image and Text for Unsupervised Domain Adaptation Using Vision Language Models.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Apr 17, 2026
Unsupervised Domain Adaptation (UDA) has emerged as a pivotal technique for enhancing machine learning models' performance in unlabeled target domains with domain shifts. This technique is fundamentally achieved by aligning the domain distributions o... read more 

Compression and k-mer Based Approach for Anticancer Peptide Analysis.

IEEE transactions on computational biology and bioinformatics Apr 17, 2026
Anti-cancer peptide (ACP) sequence classification is crucial for cancer treatment development. Current neural network approaches achieve high accuracy but require substantial parameters and training data. Recent compression-based methods compress ent... read more 

A Deep Neural Network Optimization Framework Based on Optimal Transport Bridge Feature Selection and Sparse Representation.

IEEE transactions on neural networks and learning systems Apr 17, 2026
The performance of deep neural networks (DNNs) in accomplishing tasks heavily relies on feature selection and sparse representation of high-dimensional data. Previous work has treated feature selection and sparse representation as separate mechanisms... read more 

The Need for Continued Investment in Digital Pain Assessment.

Journal of medical Internet research Apr 17, 2026
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Comparison of OneChoice AI-based clinical decision support recommendations with infectious disease specialists and non-specialists for bacteremia treatment in Lima, Peru.

PloS one Apr 17, 2026
Bacteremia is a major contributor to global morbidity and mortality, particularly in low- and middle-income countries where diagnostic delays and empirical antimicrobial misuse exacerbate resistance. This study assessed the accuracy of OneChoice®, an... read more 

Leveraging deep learning to infer continuous predictions from ordinal labels in medical imaging.

PLOS digital health Apr 17, 2026
In clinical medicine, variables like disease severity are often categorized into discrete ordinal labels such as normal/mild/moderate/severe. However, these labels, commonly used to train and evaluate disease severity prediction models, simplify an u... read more 
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