AI Medical Compendium

Roof-dependent atrial tachycardia after pulsed field ablation-mechanistic insights and predictive modeling for optimized ablation strategies: an ultra-high-density mapping study.

Journal of interventional cardiac electrophysiology : an international journal of arrhythmias and pacing Jan 29, 2026

BACKGROUND AND AIMS: Pulsed field ablation (PFA) has emerged to an innovative approach to achieve pulmonary vein isolation (PVI) in atrial fibrillation (AF) treatment. Despite its fast adoption and promising safety profile, insights into immediate ab... read more

Parameter identification based on statistical and neural network approaches for the vegetation-water model.

Journal of biological physics Jan 29, 2026

Turing patterns emerging from the vegetation-water model exhibit complex spatial and networked structures, while parameter identification of these patterns has become a challenging inverse problem. This paper aims to present two types of methods for ... read more

Differentiation of focal liver lesions in contrast-enhanced ultrasound using a heuristic-guided hybrid machine-learning framework.

Journal of medical ultrasonics (2001) Jan 29, 2026

PURPOSE: Sonazoid contrast-enhanced ultrasound (CEUS) offers valuable diagnostic information on hepatic lesions, but it is time-consuming. In this study, we investigated a novel composite machine-learning framework that integrates heuristic knowledge... read more

Correction: Predicting hypertension and identifying most important factors among married women in Bangladesh using machine learning approach.

PloS one Jan 29, 2026

[This corrects the article DOI: 10.1371/journal.pone.0335442.]. read more

Understanding drivers of neonatal mortality in Zimbabwe: A machine learning approach using survey data.

PLOS global public health Jan 29, 2026

In Zimbabwe, the neonatal mortality rate (NMR) is higher than the regional average, and the country is not on track to reach the Sustainable Development Goal of reducing the NMR by 2030. While other child mortality indicators have improved, NMR has i... read more

SpaConTDS: A multimodal contrastive learning framework for identifying spatial domains by applying tuple disturbing strategy.

PLoS computational biology Jan 29, 2026

The rational utilization of multimodal spatial transcriptomics (ST) data enables accurate identification of spatial domains, which is essential for investigating cellular structure and functions. In this study, we proposed SpaConTDS, a novel framewor... read more

Forecasting Waitlist Trajectories for Patients With Metabolic Dysfunction-Associated Steatohepatitis Cirrhosis: A Neural Network Competing Risk Analysis.

Journal of medical Internet research Jan 29, 2026

BACKGROUND: Metabolic dysfunction-associated steatohepatitis (MASH) cirrhosis is a leading indication for liver transplantation (LT). Patients with MASH cirrhosis are complex and often have extensive comorbidities. The current model for end-stage liv... read more

Patient Perspectives on AI-Powered Medical Robots in Breast and Prostate Cancer Care: Qualitative Study.

JMIR cancer Jan 29, 2026

BACKGROUND: Nearly 250,000 cancer cases are diagnosed annually in Canada, with breast and prostate cancer representing 25% and 22% of new cases, respectively. Artificial intelligence (AI) applications can potentially improve the accuracy, efficiency,... read more

Prospective Diagnostic Accuracy and Technical Feasibility of Artificial Intelligence-Assisted Rib Fracture Detection on Chest Radiographs: Observational Study.

JMIR medical informatics Jan 29, 2026

BACKGROUND: Rib fractures are present in 10%-15% of thoracic trauma cases but are often missed on chest radiographs, delaying diagnosis and treatment. Artificial intelligence (AI) may improve detection and triage in emergency settings. OBJECTIVE: Thi... read more

SACMark: Spatial-Angle Consistency Watermarking Network for Light Field Image Copyright Protection.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Jan 29, 2026

Light Field (LF) images provide rich visual representations of 3D scenes by capturing both spatial and angular information of light rays. However, their high dimensions present substantial challenges for conventional 2D image watermarking techniques ... read more

Artificial Intelligence Medical Compendium