Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 48,461 to 48,470 of 224,199 articles

FATE-MAP predicts teratogenicity and human gastrulation failure modes by integrating deep learning and mechanistic modeling.

Nature communications Feb 19, 2026
Gastrulation, a critical developmental stage involving germ layer specification and axes formation, is a major point of failure in human development, contributing to pregnancy loss and congenital malformations. However, due to ethical constraints and... read more 

The consensus molecular subtypes of esophageal squamous cell carcinoma.

Signal transduction and targeted therapy Feb 19, 2026
Esophageal squamous cell carcinoma (ESCC) lacks a standardized classification system, resulting in inconsistent clinical management and a suboptimal prognosis. This study addresses the urgent need for a robust consensus taxonomy to facilitate precisi... read more 

Finding the forest in the trees: Using machine learning and online cognitive and perceptual measures to predict adult autism diagnosis.

Translational psychiatry Feb 19, 2026
Traditional subjective measures are limited in the insight they provide into underlying behavioral differences associated with autism and, accordingly, their ability to predict diagnosis. Performance-based measures offer an attractive alternative, be... read more 

A Plugin-Based Architecture for Integrating AI Services in an Open-Source PACS.

Journal of imaging informatics in medicine Feb 19, 2026
Automated image analysis, supported by powerful artificial intelligence algorithms, promises significant workflow advantages in the screening of medical images. The ability to automatically detect and classify objects of interest can drastically redu... read more 

Artificial Intelligence Could Predict Chest Tube Drainage Necessity for Spontaneous Pneumothorax.

Journal of imaging informatics in medicine Feb 19, 2026
Artificial intelligence (AI) is increasingly utilized in the medical field, primarily for diagnostic purposes. Although AI has demonstrated efficacy in pneumothorax detection using chest X-rays (CXR), it has yet to be applied for decision-making rega... read more 

Development of a 3D Convolutional Neural Network for the Triage of High-Priority Oral and Maxillofacial CBCT Scans.

Journal of imaging informatics in medicine Feb 19, 2026
This project aims to establish a triage system for oral and maxillofacial cone-beam computed tomography (CBCT) scans by developing a neural network to identify high-priority cases. Two hundred scans and reports were reviewed to form two cohorts: Grou... read more 

BreasTransNeXt: An Enhanced Multi-Module Vision Transformer For Early Breast Cancer Diagnosis.

Journal of imaging informatics in medicine Feb 19, 2026
Breast cancer (BC) represents the most common and one of the most lethal malignancies among women globally, ranking second only to lung cancer in terms of mortality. Early diagnosis is critically important, as treatment outcomes are significantly imp... read more 

Automated Report Generation in Ophthalmology: Integrating Artificial Intelligence, Multimodal Imaging, and Clinical Data.

Ophthalmology and therapy Feb 19, 2026
Artificial intelligence (AI) has emerged as a transformative force in ophthalmology, enabling automated, accurate, and efficient clinical reporting. This review summarizes recent advances in AI-driven report generation, emphasizing the integration of... read more 

FOXK1 induced upregulation of KIF20A promotes hepatocellular carcinoma progression via Wnt/β-Catenin/EMT signaling.

Cellular and molecular life sciences : CMLS Feb 19, 2026
Liver cancer ranks sixth in incidence and third in mortality worldwide, with hepatocellular carcinoma (HCC) accounting for 90% of cases. Kinesin family genes (KIFs) have been implicated in HCC progression, but their specific roles remain unclear. Her... read more 

Ultra-Fast Sub-Minute Brain MRI with Deep-Learning-reconstruction for Anesthesia-Free Emergency Imaging in Children.

Clinical neuroradiology Feb 19, 2026
PURPOSE: As MRI frequently requires general anesthesia in pediatric patients, there is an undersupply in clinical routine. This may result in delayed examinations or use of CT, especially in emergency settings. To enable ad-hoc MRI scans and rule out... read more 
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