AI Medical Compendium

Deep learning model for automated identification of ventrally positioned right hepatic artery in contrast-enhanced computed tomography of pediatric congenital biliary dilatation: development and clinical application.

Pediatric radiology Mar 23, 2026

BACKGROUND: Preoperative identification of a ventrally positioned right hepatic artery (vRHA) is critical in congenital biliary dilatation (CBD), as unrecognized variants increase surgical risk. Detection on computed tomography (CT) is challenging in... read more

Digital pathology platforms with integrated AI algorithms: a structured landscape analysis and recommendations for clinical implementation.

Virchows Archiv : an international journal of pathology Mar 23, 2026

Pathology is undergoing a fundamental change as slide-based diagnostics transition toward digital workflows. Advances in whole slide imaging, data management, and computational analysis have created the basis for integrating artificial intelligence (... read more

FTO-CHRM3 axis regulates multiple myeloma progression: a machine learning-based identification.

Annals of hematology Mar 23, 2026

BACKGROUND: Fat Mass and Obesity-Associated (FTO) is linked to multiple myeloma (MM) progression, but its action mechanisms are poorly understood. METHODS: Machine learning and correlation analysis identified genes with consistent expression patterns... read more

Predicting drug-target interactions and binding affinity using an optimized deep learning approach.

Journal of computer-aided molecular design Mar 23, 2026

The accurate prediction of Drug-Target Interactions (DTIs) and Drug-Target Affinity (DTA) is crucial for reducing experimental costs and time, thereby accelerating drug discovery and repurposing efforts. The local biochemical contexts and the global ... read more

Exploring AI Driven Autonomous Vehicles as Mobile Health Units to Expand Access to Healthcare in Underserved Communities.

Journal of epidemiology and global health Mar 23, 2026

Access to quality healthcare remains a persistent challenge in many low- and middle-income countries, especially for rural and underserved populations. This paper explores the transformative potential of autonomous vehicles (AVs) as mobile health uni... read more

AI and Robotics Advancement in Analytical Mineral Characterization and Mining Processes: A Review and Research Trends Analysis.

Topics in current chemistry (Cham) Mar 23, 2026

The mining sector is undergoing a major transformation, as it moves shifting from traditional, labor-intensive methods to adopting digital technologies within the framework of Industry 4.0. Machine learning (ML), artificial intelligence (AI), and rob... read more

Data-driven identification of outpatient-suitable procedures: a machine learning approach.

Health care management science Mar 23, 2026

Comprehensive multi omics profiling and Mendelian randomization assessment of lipid metabolites in lung cancer prognosis.

Discover oncology Mar 23, 2026

BACKGROUND: Lung cancer remains the leading cause of cancer-related mortality worldwide. This study aimed to develop prognostic prediction models for lung squamous cell carcinoma (LUSC) through multi-omics integration using Mendelian randomization an... read more

Exploring Deep Learning Models for Small Histopathology Datasets: Segmentation and Classification of Glomerular Crescent Lesions with Ablation, Interpretability, and Calibration Analyses.

Interdisciplinary sciences, computational life sciences Mar 23, 2026

Glomerular crescent lesions are critical indicators of severe kidney injury and are closely associated with disease progression. However, their automated identification remains challenging due to limited annotated data, class imbalance, and subtle mo... read more

Integrated single-cell and spatial mapping coupled with machine learning unveils core stemness landscapes and regulatory drivers in triple-negative breast cancer.