AI Medical Compendium

CasLayout: Cascaded 3D Layout Diffusion for Indoor Scene Synthesis with Implicit Relation Modeling

arXiv Apr 30, 2026

Synthesizing realistic 3D indoor scenes remains challenging due to data scarcity and the difficulty of simultaneously enforcing global architectural constraints and local semantic consistency. Existing approaches often overlook structural boundaries ... read more

Computer Vision and Pattern Recognition cs.GR

Hyperspectral Image Classification via Efficient Global Spectral Supertoken Clustering

arXiv Apr 30, 2026

Hyperspectral image classification demands spatially coherent predictions and precise boundary delineation. Yet prevailing superpixel-based methods face an inherent contradiction: clustering aggregates similar pixels into regions, but the subsequent ... read more

Computer Vision and Pattern Recognition

Accelerating the implementation of digital pathology in India.

Journal of pathology informatics Apr 30, 2026

Digital pathology (DP), which utilizes whole-slide imaging (WSI), adds value to traditional pathology by enabling high-resolution imaging, remote diagnostics, and artificial intelligence (AI)-assisted analysis. Despite its potential, DP adoption in r... read more

Perceptions of clinicians and patients toward artificial intelligence applications in surgery: A scoping review.

Surgery Apr 30, 2026

BACKGROUND: Widespread adoption of artificial intelligence into surgical care heavily depends on clinician and patient attitudes, which remain poorly characterized. This scoping review aimed to synthesize existing literature on clinician and patient ... read more

Phenotyping and biomarkers in cardiogenic shock.

Current opinion in critical care Apr 30, 2026

PURPOSE OF REVIEW: Cardiogenic shock (CS) remains associated with high mortality despite advances in revascularization, pharmacological therapies and mechanical circulatory support. Traditional staging systems primarily reflect clinical severity but ... read more

Ten frequently asked questions (FAQs) on surface electromyography.

Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology Apr 30, 2026

Surface electromyography (sEMG) is one of the most widely used techniques for studying the control of human movement and neuromuscular function, and for establishing human-machine interfaces. Over the past two decades, sEMG has undergone substantial ... read more

Artificial intelligence-driven design of inorganic materials for biomedical applications.

Science bulletin Apr 30, 2026

Inorganic non-metallic materials have garnered significant attention in biomedicine due to their structural tunability and multifunctional properties. The emergence of next-generation artificial intelligence (AI) technologies is transforming the conv... read more

MAPLE: a machine-learning force-field-native platform for automated reaction modeling and enzyme design.

Chemical science Apr 30, 2026

Machine-learning force fields (MLFFs) are reshaping computational chemistry and biology by delivering near-quantum mechanical accuracy at a computational cost comparable to conventional force fields, enabling applications in biomolecular simulation, ... read more

Interpretable machine learning and deep learning model for discriminating pheochromocytoma from adrenocortical adenoma based on CT: A multicenter study.

European journal of radiology Apr 30, 2026

BACKGROUND: Differentiating pheochromocytoma (PHEO) from adrenocortical adenoma (ACA) is vital to avoid intraoperative hypertensive crises or redundant surgeries. PURPOSE: To identify the optimal diagnostic strategy by benchmarking various machine le... read more

A CT-based deep learning model to differentiate between benign and malignant adrenal lesions.