AI Medical Compendium

DVG-Diffusion: Dual-View Guided Diffusion Model for CT Reconstruction from X-Rays.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Jan 23, 2026

Directly reconstructing 3D CT volume from few-view 2D X-rays using an end-to-end deep learning network is a challenging task, as X-ray images are merely projection views of the 3D CT volume. In this work, we facilitate complex 2D X-ray image to 3D CT... read more

U-RWKV: Accurate and Efficient Volumetric Medical Image Segmentation via RWKV.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Jan 23, 2026

Accurate and efficient volumetric medical image segmentation is vital for clinical diagnosis, pre-operative planning, and disease-progression monitoring. Conventional convolutional neural networks (CNNs) struggle to capture long-range contextual info... read more

TransSE: A Transfer Learning-Based Predictive Model for Distinguishing Super Enhancers and Typical Enhancers.

IEEE transactions on computational biology and bioinformatics Jan 23, 2026

Super-enhancers (SEs), comprising clusters of transcriptional regulatory elements, play essential roles in gene expression regulation and cell fate determination. Current computational methods for identifying SEs from genomic sequences face challenge... read more

Co-Adaptive Velocity and Position Control of 3-DoFs Prosthesis via Incremental Learning.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Jan 23, 2026

Upper-limb prosthesis control remains challenging in achieving natural and intuitive movements, especially for devices with multiple actuated degrees of freedom (DoFs), often demanding high cognitive effort. Machine learning aids in mapping phantom l... read more

Positive Data Augmentation Based on Manifold Heuristic Optimization for Image Classification.

IEEE transactions on pattern analysis and machine intelligence Jan 23, 2026

Data augmentation is crucial for addressing insufficient training data, especially for augmenting positive samples. However, existing methods mostly rely on neural network-based feedback for data augmentation and often overlook the optimization of fe... read more

Explainable AI framework for improved Thalassemia mental health classification and feature selection.

PloS one Jan 23, 2026

Mental health challenges in Thalassemia patients are often overlooked, despite their significant impact on quality of life. Traditional statistical and machine learning approaches often fail to capture the complex, nonlinear relationships between psy... read more

Bioinspired growable humanoid robot with bone-mimetic linkages for versatile mobility.

Science advances Jan 23, 2026

Inspired by human biomechanics, humanoid robots are often designed to mimic human kinematics but typically lack key traits of developing bones, such as growability, lightweight yet stiff construction, and compliance for impact absorption. This work i... read more

User experience and safety of generative AI-based mental health chatbots: Scoping review protocol.

PloS one Jan 23, 2026

INTRODUCTION: Mental health problems constitute a significant global health challenge due to their rising prevalence and substantial treatment gap. Digital Mental Health Interventions (DMHIs) including mental health chatbots have emerged as promising... read more

Full-Endoscopic Spine Surgery for Adjacent Segment Disease Using Artificial Intelligence-Assisted 3-Dimensional MRI/CT Fusion Imaging: A Case Report.

JBJS case connector Jan 23, 2026

CASE: An 82-year-old woman presented with right medial thigh pain. Her medical history included multiple lumbar decompression and fusion surgeries. She was diagnosed with L3 radiculopathy secondary adjacent segment disease (ASD) after lumbar fusion. ... read more

Prediction of 12-Week Remission in Patients With Depressive Disorder Using Reasoning-Based Large Language Models: Model Development and Validation Study.

JMIR mental health Jan 23, 2026

BACKGROUND: Depressive disorder affects over 300 million people globally, with only 30% to 40% of patients achieving remission with initial antidepressant monotherapy. This low response rate highlights the critical need for digital mental health tool... read more

Artificial Intelligence Medical Compendium