AI Medical Compendium

Machine learning-based prediction of hospital-associated complications after tibial fracture surgery in older patients: a nationwide Japanese database study.

Aging clinical and experimental research Jul 16, 2026

BACKGROUND: Older adults requiring emergency surgery for acute tibial fractures are vulnerable to hospital-associated complications (HACs), but admission-time risk stratification tools are lacking. We aimed to characterize HACs and develop both an en... read more

Using Artificial Intelligence to Identify Patterns and Predictors of Adverse Drug Reactions in Cardiovascular Patients: A Comprehensive Narrative Review.

American journal of cardiovascular drugs : drugs, devices, and other interventions Jul 16, 2026

Artificial intelligence (AI) has emerged as a transformative tool for improving the detection, prediction, and prevention of adverse drug reactions (ADRs) in cardiovascular (CV) medicine, a domain characterized by high drug utilization, complex multi... read more

EEG-DBNet: a dual-branch framework for temporal-spectral representation learning of motor imagery electroencephalography.

Brain informatics Jul 16, 2026

PURPOSE: Motor imagery electroencephalography (MI-EEG) decoding remains challenging due to low signal-to-noise ratio and complex temporal-spectral characteristics. This study aims to develop a robust deep learning framework for effective EEG represen... read more

A hybrid model for early diagnosis of ophthalmology diseases leveraging CNNs, SBOA optimization, and XAI for visualization.

Physical and engineering sciences in medicine Jul 16, 2026

Ophthalmology diseases are among the leading causes of vision loss worldwide. Glaucoma, diabetic retinopathy, and cataracts are the most common diseases and can lead to permanent vision loss if left untreated. In this paper, a new hybrid model has be... read more

Machine Learning-Assisted Microwave-Microfluidic Platform for Microplastic Detection.

Environmental science & technology Jul 16, 2026

Microplastics (MPs) have emerged as a critical environmental concern due to their ubiquitous presence in ecosystems and potential impacts on human health. However, conventional MP detection and identification methods are often constrained by procedur... read more

Noble Metal-Metal Oxide Nanohybrids as a High-Performance LDI-MS Matrix for Machine Learning-Driven Metabolic Diagnosis of Esophageal Cancer.

Analytical chemistry Jul 16, 2026

Esophageal cancer represents a global health challenge with a notably high incidence and poor prognosis, necessitating the development of rapid, noninvasive diagnostic methodologies. In this study, we present a high-throughput metabolomics platform l... read more

Multidimensional Infrared Spectroscopy as a Bioanalytical Technique.

Chemical reviews Jul 16, 2026

Since its inception at the end of the last century, 2D-IR spectroscopy has undergone continuous development into an established method for studying the structure, dynamics and intermolecular interactions of biomolecules. Thanks to parallel advances i... read more

A Generative Multi-modal Deep Learning Framework for Non-invasive Prediction of Ki-67 Expression in Papillary Thyroid Microcarcinoma Using Preoperative Ultrasound.

IEEE journal of biomedical and health informatics Jul 16, 2026

Accurate assessment of Ki-67 expression plays a critical role in the risk stratification and prognosis of papillary thyroid microcarcinoma (PTMC). However, its clinical evaluation still relies on invasive biopsy. To address this limitation, we propos... read more

Long-Sequence Lower Limb Action Recognition via Action-Specific Attention and Logic Correction for Daily Rehabilitation.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Jul 16, 2026

Accurate and robust intent recognition is the cornerstone of human-machine collaboration in rehabilitation, particularly for controlling Supernumerary Robotic Limbs (SRL). However, recognizing long sequences of continuous lower-limb movements remains... read more

Noninvasive Preoperative Evaluation in Drug-Resistant Epilepsy Based on the Brain Network Topological Dynamics.