AI Medical Compendium

Adaptive 3D Convolution for Remote Sensing Image Fusion.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society May 8, 2026

Remote sensing image fusion aims to create a high-resolution multi/hyper-spectral image from a high-resolution image with limited spectral information and a low-resolution image with abundant spectral data. Recently, deep learning (DL) techniques hav... read more

Interpretable Semantic Medical Image Segmentation with Style and Confidence.

IEEE transactions on pattern analysis and machine intelligence May 8, 2026

The scarcity of semantically labelled data presents major challenges for medical image segmentation using deep learning models, and the "black-box" nature of these models inherently limits their interpretability during clinical deployment. To address... read more

Robust decomposition of surface EMG signals via lightweight deep learning-based adaptation.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society May 8, 2026

Real-time surface electromyography decomposition has emerged as a promising way for neural interfacing. However, the decomposition performance faces dramatic degradation when multiple non-stationary factors coexist, including noise increases, new MU ... read more

Deep Learning-based Volition Detection and Action Potential Extraction for Fully Automated Diagnosis of Neuromuscular Disease Using Needle Electromyography Signals.

IEEE transactions on computational biology and bioinformatics May 8, 2026

OBJECTIVE: This study aimed to develop a deep learning-based volition-detection model to automate the diagnostic process and improve neuromuscular disease classification using needle electromyography (nEMG) signals. METHODS: The model was developed u... read more

A modular deep learning architecture for interpretable disease prediction across tabular clinical and biometric datasets.

PloS one May 8, 2026

Accurate disease prediction using clinical datasets is essential for improving early diagnosis and clinical decision-support systems; however, many existing deep learning approaches are disease-specific, computationally intensive, and difficult to ge... read more

Explainable AI for Well-Being Prediction From Lifestyle Data: 2-Study Design.

JMIR mental health May 8, 2026

BACKGROUND: Well-being is a cornerstone of public health and social progress; yet, its determinants are multifaceted and dynamic. As behavioral data become increasingly available and artificial intelligence (AI) systems gain prominence, scalable asse... read more

Machine Learning-Based Predictive Model for Fever and Adverse Clinical Events in Hospitalized Pediatric Burn Patients.

Journal of burn care & research : official publication of the American Burn Association May 8, 2026

Systemic inflammation after pediatric burn injury frequently causes fever, complicating early recognition of infectious complications. Improved risk-stratification may help identify patients at risk for adverse clinical events during hospitalization.... read more

DeepDRP: Dose-response predictions of drug pairs using deep learning based on data-driven feature representation and dose-response curve characteristics.

PloS one May 8, 2026

Combination therapies have become a cornerstone of modern medicine, offering improved treatment outcomes and reduced side effects compared to monotherapies. However, the efficacy and safety of drug combinations depend heavily on the specific doses of... read more

Limited 'heft' of weight-based outcomes in predicting influenza A virus disease severity in ferrets.

PLoS computational biology May 8, 2026

Studies evaluating viral pathogenicity in small mammalian models often quantify disease severity using the magnitudes of temperature rise and weight loss post-challenge. However, no rigorous assessment on the transformation of serially collected data... read more

Electronics-free soft robotic minitablet for on-demand gastric molecular sensing and diagnostics in vivo.

Science advances May 8, 2026

Real-time biomarker sensing and molecular sampling in the stomach can transform how gastrointestinal disorders are diagnosed and managed-yet integrating both capabilities into a single ingestible platform remains a formidable challenge. Existing devi... read more

Artificial Intelligence Medical Compendium