AI Medical Compendium

Promoting Generalization for Exact Combinatorial Solvers via Adversarial Instance Augmentation.

IEEE transactions on pattern analysis and machine intelligence Jun 1, 2026

Machine learning has been successfully applied to accelerate Mixed-Integer Linear Programming (MILP) solvers. However, the learning-based solvers often suffer from severe performance degradation on unseen MILP instances due to the limited number of t... read more

DBHN-Net: Dual-Branch Hybrid Neural Network for Low-Complexity Monaural Speech Enhancement.

IEEE transactions on pattern analysis and machine intelligence Jun 1, 2026

Although artificial neural network (ANN) based speech enhancement (SE) methods demonstrate excellent performance, the high computational complexity and high energy consumption hinder their deployment in practical front-end processing tasks. Currently... read more

FoundDiff: Foundational Diffusion Model for Generalizable Low-Dose CT Denoising.

IEEE transactions on medical imaging Jun 1, 2026

Low-dose computed tomography (CT) denoising is crucial for reduced radiation exposure while ensuring diagnostically acceptable image quality. Despite significant advancements driven by deep learning (DL) in recent years, existing DL-based methods, ty... read more

Emotion Impact and Contagion Mechanism of Misinformation: A Network-Based Risk Analysis.

Risk analysis : an official publication of the Society for Risk Analysis Jun 1, 2026

The proliferation of online misinformation poses severe societal risks, including public health crises and political polarization, with emotional manipulation serving as a key driver of its spread. However, traditional metrics fail to capture the nua... read more

A Z-Score Template Method for Person-Specific Augmentation of Clinical Brain MRI: An Investigation in Multiple Sclerosis.

NMR in biomedicine Jun 1, 2026

Clinical MRI is essential for managing neurological disorders such as multiple sclerosis (MS) but often inconsistent, limiting secondary analyses for enhanced information characterization. Our goal was to establish a new Z-score template method for p... read more

Mechanistic Biomarker Discovery of Perfluorooctanoic Acid Exposure in Parkinson's Disease Through Integrated Toxicogenomic Analysis.

Basic & clinical pharmacology & toxicology Jun 1, 2026

Perfluorooctanoic acid (PFOA) is a common polyfluoroalkyl substance (PFAS) with possible neurotoxic effects, but its role in Parkinson's disease (PD) is not clear. We aimed to identify shared genes and pathways that link PFOA to PD, to test if the li... read more

Enhancing urothelial carcinoma diagnosis with artificial intelligence-integrated urine cytology: Biopsy-validated accuracy and efficiency gain.

Cancer cytopathology Jun 1, 2026

BACKGROUND: Urine cytology is a noninvasive tool for detecting urothelial carcinoma, yet its performance depends heavily on expert cytologists and time-intensive glass slide review. Artificial intelligence (AI)-assisted digital cytology has emerged a... read more

Practical exploration of real-time visual interactive artificial intelligence technology in cytopathology education.

Cancer cytopathology Jun 1, 2026

BACKGROUND: Proficiency in cytopathologic diagnosis depends heavily on extensive hands-on practice and immediate error correction. Traditional teaching models, however, are constrained by limited practice opportunities and delayed feedback, which fai... read more

From Pixels to Prediction: Reviewing the Role of Artificial Intelligence in Body Composition Analysis.

Journal of cachexia, sarcopenia and muscle Jun 1, 2026

Evaluation of body composition (BC) is a set of biomarkers, including fat, muscle and bone, that allows the quantification of an individual's composition at different levels of complexity (whole body, tissues, macroscopic and microscopic). Recently, ... read more

Literature Commentary June, 2026.

Journal of neuro-ophthalmology : the official journal of the North American Neuro-Ophthalmology Society Jun 1, 2026

In this issue, the following 4 articles are reviewed by Drs. Mark L. Moster and Deborah I. Friedman, most of which include authors who are members of NANOS:Pakeerathan T, Davis J, Henderson AD, et al. OCT-based differentiation of first acute optic ne... read more

Artificial Intelligence Medical Compendium