AI Medical Compendium

Graph Rotation Network: Equivariant Graph Neural Network for Efficient Inverse Design in 4-D Printing.

IEEE transactions on neural networks and learning systems May 8, 2026

Four-dimensional printed structures transform shape under external stimuli, and designing these structures to achieve desired deformation outcomes is crucial for 4-D printing technology. Current machine-learning (ML)-assisted methods can design 4-D-p... read more

Generative Learning Imaging Framework for Millimeter Wave Synthetic Aperture Radar.

IEEE transactions on neural networks and learning systems May 8, 2026

Accurately reconstructing synthetic aperture radar (SAR) images from incomplete echo measurements is the fundamental problem in simplifying SAR systems and reducing sensing costs. In solving this problem, the recently emerged deep learning SAR imagin... read more

Transformer-Based Modular Motion Generation Through Shoulder-Arm Decoupling for Upper Limb Rehabilitation.

IEEE transactions on bio-medical engineering May 8, 2026

The shoulder girdle is one of the most complex components of the upper limb, and when coupled with the arm, modeling and prediction become even more challenging. To address this, we propose a modular motion-planning framework that explicitly decouple... read more

NRRS: Neural Russian Roulette and Splitting.

IEEE transactions on visualization and computer graphics May 8, 2026

We propose a novel framework for Russian Roulette and Splitting (RRS) tailored to wavefront path tracing, a highly parallel rendering architecture that processes path states in batched, stage-wise execution for efficient GPU utilization. Traditional ... read more

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

Artificial Intelligence Medical Compendium