AI Medical Compendium

HD-sEMG-Based Control Using Neck Muscles and Shallow Neural Networks: Assessing Performance in Rehabilitation-Oriented Tasks.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Feb 19, 2026

This paper investigated the suitability of the integrated Recursive Rehabilitation Control Network (RRC-Net)/ High-Density Electrode Array (HDE-Array) system for performing two multi-Degree of Freedom (DoF) control tasks, developed as proxies for Fun... read more

Practical Prescribed-Time Cooperative Path Following of Underactuated Multi-ASVs Without Velocity Measurements via Intermittent Control.

IEEE transactions on cybernetics Feb 19, 2026

In this article, the problem of practical prescribed-time (PT) cooperative path following (CPF) is investigated for underactuated autonomous surface vehicles (ASVs), which are not equipped with velocity sensors and subject to unmodeled dynamics and a... read more

Encoding and Decoding of Brain Dynamic Functional Connectivity for ADHD Diagnosis.

IEEE journal of biomedical and health informatics Feb 19, 2026

Recent studies have demonstrated strong associations between the changes in dynamic functional connectivity (FC) and both behavioral and cognitive functions. The sliding window technique is the most widely used method for evaluating dynamic FC; howev... read more

Bimodal EEG-fNIRS and Deep Learning for Classifying Intensity-Dependent Cortical Auditory Evoked Responses.

IEEE journal of biomedical and health informatics Feb 19, 2026

Detection of intensity-dependent cortical auditory evoked responses using electroencephalography (EEG) is essential in clinical audiology and research on neurological disorders. While EEG remains the gold standard for monitoring brain activity, funct... read more

Fine-Grained Analysis of Nonparametric Estimation for Pairwise Learning.

IEEE transactions on neural networks and learning systems Feb 19, 2026

In this article, we are concerned with the generalization performance of nonparametric estimation for pairwise learning. Most of the existing work requires the hypothesis space to be convex or a VC-class, and the loss to be convex. However, these res... read more

Interpretable Machine Learning for Stroke Recovery: Predicting Discharge and 3-Month Functional Outcomes.

NeuroRehabilitation Feb 19, 2026

IntroductionStroke is a leading cause of disability worldwide. This study uses Machine Learning models to investigate factors influencing modified Rankin Scale scores at discharge and three months post-discharge.MethodsData from 116 stroke patients w... read more

Detection of Solid-Phase Explosives Using an Electroantennogram-Based Biohybrid Sensor with Active Sniffing.

Analytical chemistry Feb 19, 2026

Effective detection of hazardous compounds such as explosives is a critical objective in the fields of security and environmental monitoring. However, these materials, especially in their solid phase, present considerable analytical challenges due to... read more

A hierarchical approach to the causality of shipyard accidents with integrated machine learning methods.

Work (Reading, Mass.) Feb 19, 2026

BackgroundThe number of shipyard accidents should be reduced by examining the effects of the various demographic and workplace factors on the severity of the accident.ObjectiveThe study examines shipyard accidents and various occupational-behavioral-... read more

Identifying Transdiagnostic Predictors of Depression Across Psychoses: Informing Stratified Antidepressant Treatments.

Psychotherapy and psychosomatics Feb 19, 2026

INTRODUCTION: Depression frequently co-occurs with psychosis and is associated with poor outcomes. Early identification of patients at risk of persistent depression remains challenging, limiting opportunities for stratified treatment planning. This s... read more

Open-source framework for detecting bias and overfitting for large pathology images.

PloS one Feb 19, 2026

Even foundational models trained on large-scale datasets may learn to rely on non-relevant artifacts such as background color or color intensity, leading to overfitting and/or bias. To ensure the robustness of deep learning applications, there is a n... read more

Artificial Intelligence Medical Compendium