AI Medical Compendium

Uncertainty-Aware Multi-Class Brain Tumor Segmentation Using Bayesian U-Net Variants.

Biomedical physics & engineering express Apr 8, 2026

Accurate segmentation of brain tumors in magnetic resonance imaging (MRI) is essential for diagnosis, treatment planning, and surgical guidance. Although deep learning-based segmentation methods have achieved strong performance, their clinical adopti... read more

Impact of multimodal information on the estimation of fetal growth indicators using machine learning regression models.

Biomedical physics & engineering express Apr 8, 2026

Accurate estimation of fetal growth indicators such as birth weight, birth length, and gestational age at birth is essential for monitoring pregnancy outcomes and guiding clinical decisions. Traditional predictive models typically rely on ultrasound-... read more

aims-PAX: Parallel Active Exploration Enables Expedited Construction of Machine Learning Force Fields for Molecules and Materials.

Journal of chemical information and modeling Apr 8, 2026

Recent advances in machinelearning force fields (MLFFs) have significantly extended the reach of atomistic simulations. Continuous progress in this field requires reliable reference data sets, accurate MLFF architectures, and efficient active learnin... read more

Unsupervised clustering of clinical and laboratory features of systemic lupus erythematosus: insights from a multicentre cohort.

Lupus science & medicine Apr 8, 2026

OBJECTIVE: This study explored the relationship between clinical phenotypes and immuno-molecular features of systemic lupus erythematosus (SLE) using unsupervised machine learning and multi-omics integration. METHODS: A multicentre cohort of 1065 SLE... read more

Development and cross-site validation of machine-learning models for diagnosis and prognosis of stable angina with and without obstructive coronary artery disease: a study protocol.

BMJ open Apr 8, 2026

INTRODUCTION: Angina with no obstructive coronary artery disease (ANOCA) affects millions and is frequently under-recognised because diagnostic pathways and risk tools predominantly target obstructive coronary artery disease (CAD). This protocol desc... read more

Extracellular Spike Waveforms: Morphology, Biophysics, and Classification Strategies.

The Journal of neuroscience : the official journal of the Society for Neuroscience Apr 8, 2026

Extracellular spike waveforms provide critical insights into neuronal activity, morphology, and function. Their shape can reveal cell-type identity, excitatory versus inhibitory function, and afferent projections from distal regions. The development ... read more

Deep learning-enhanced dual-mode multiplexed optical sensor for point-of-care diagnostics of cardiovascular diseases.

Light, science & applications Apr 8, 2026

Rapid and accessible cardiac biomarker testing is essential for the timely diagnosis and risk assessment of myocardial infarction (MI) and heart failure (HF), two interrelated conditions that frequently coexist and drive recurrent hospitalizations wi... read more

Quantum circuit complexity and unsupervised machine learning of topological order.

Nature communications Apr 8, 2026

Enabling the discovery of unknown quantum many-body phases of matter remains a fundamental challenge in machine learning for quantum physics. Here, inspired by the close relationship between Kolmogorov complexity and unsupervised machine learning, we... read more

A drone imagery dataset for semantic segmentation of urban garden ground covers in biodiversity studies.

Scientific data Apr 8, 2026

Urban gardens promote urban biodiversity by providing diverse ground covers that support habitat provision, pollination, pest control, and soil functions. However, lacking high spatial resolution images, their spatial heterogeneity remains poorly map... read more

MSF-VMDNet for multi class segmentation of skin cancer whole slide images using a multi frequency dual encoder network.

Scientific reports Apr 8, 2026

Skin cancer has become a global public health issue. Dermoscopy is a routine diagnostic method; however, to improve accuracy, it is often combined with skin punch biopsy and stained histological slides for microscopic observation. The manual segmenta... read more

Artificial Intelligence Medical Compendium