Artificial Intelligence Medical Compendium

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

Showing 57,121 to 57,130 of 227,153 articles

Deep Learning based Joint Geometry and Attribute Up-sampling for Large-Scale Colored Point Clouds.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Jan 29, 2026
Colored point cloud comprising geometry and attribute components is one of the mainstream representations enabling realistic and immersive 3D applications. To generate large-scale and denser colored point clouds, we propose a deep learning-based Join... read more 

Behavioral Cloning of Physiotherapists in Adapting Robot Control Parameter.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Jan 29, 2026
Robot-aided rehabilitation effectively supports treatment of upper-limb disorders and enhances outcomes when combined with traditional therapy. Artificial intelligence enables behavioral cloning of physiotherapists' expertise to autonomously modulate... read more 

Deeply Learned Robust Matrix Completion for Large-scale Low-rank Data Recovery.

IEEE transactions on pattern analysis and machine intelligence Jan 29, 2026
Robust matrix completion (RMC) is a widely used machine learning tool that simultaneously tackles two critical issues in low-rank data analysis: missing data entries and extreme outliers. This paper proposes a novel scalable and learnable non-convex ... read more 

Privacy-Preserving Model Transcription With Differentially Private Synthetic Distillation.

IEEE transactions on pattern analysis and machine intelligence Jan 29, 2026
While many deep learning models trained on private datasets have been deployed in various practical tasks, they may pose a privacy leakage risk as attackers could recover informative data or label knowledge from models. In this work, we present priva... read more 

Tackling Ill-Posedness of Reversible Image Conversion With Well-Posed Invertible Network.

IEEE transactions on pattern analysis and machine intelligence Jan 29, 2026
Reversible image conversion (RIC) suffers from ill-posedness issues due to its forward conversion process being considered an underdetermined system. Despite employing invertible neural networks (INN), existing RIC methods intrinsically remain ill-po... read more 

Improving Robustness and Training Efficiency of Machine-Learned Potentials by Incorporating Short-Range Empirical Potentials.

Journal of chemical information and modeling Jan 29, 2026
Machine learning force fields (MLFFs) are powerful tools for materials modeling, but their performance is often limited by training data set quality, particularly the lack of rare event configurations. This limitation undermines their accuracy and ro... read more 

A Comparison of Ten Large Language Models and a Conventional Search Engine for Clinical Decision Support in Anesthesiology: Expert Agreement and Physician Perceptions.

Anesthesia and analgesia Jan 29, 2026
BACKGROUND: Advances in artificial intelligence (AI) have enabled large language models (LLMs) to generate complex and contextually relevant medical responses. However, their potential in clinical decision support for anesthesiology remains underexpl... read more 

Uncertainty-Aware Prediction of 195Pt Chemical Shifts from Limited Data.

Journal of chemical information and modeling Jan 29, 2026
Platinum (Pt) complexes are highly relevant for medicinal chemistry and homogeneous catalysis. In the development of novel Pt-based chemotherapeutic agents and catalysts, characterization of the compounds using nuclear magnetic resonance (NMR) spectr... read more 

Characterization of Models for Identifying Physical and Cognitive Frailty in Older Adults With Diabetes: Systematic Review and Meta-Analysis.

Journal of medical Internet research Jan 29, 2026
BACKGROUND: Physical frailty and cognitive frailty are increasingly recognized as critical geriatric syndromes among older adults with diabetes, contributing to adverse outcomes such as disability, hospitalization, and mortality. Early identification... read more 

Detection of Antithrombotic-Related Bleeding in Older Inpatients: Multicenter Retrospective Study Using Structured and Unstructured Electronic Health Record Data.

Journal of medical Internet research Jan 29, 2026
BACKGROUND: Bleeding complications are a major contributor to adverse drug events among older inpatients, particularly in those treated with antithrombotic agents. Timely and accurate detection of bleeding events is essential for improving drug safet... read more 
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