Artificial Intelligence Medical Compendium

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

Showing 1,431 to 1,440 of 234,892 articles

MRI-based preoperative WHO grade prediction in meningioma: development and comparison of deep learning, radiomics, clinical, and combined models in multicenter data.

Journal of neuro-oncology Oct 14, 2026
PURPOSE: The objective of this study was to develop and externally validate complementary magnetic resonance imaging (MRI)-based models and their stacked combinations for preoperative World Health Organization (WHO) grading of intracranial meningioma... read more 

Internal Validation of a YOLOv8 Model for Classifying Temporomandibular Joint Disc Displacement With Versus Without Reduction on Open-Mouth Proton-Density-Weighted MRI.

Journal of oral rehabilitation Oct 14, 2026
BACKGROUND: The temporomandibular joint (TMJ) disc plays an important role in maintaining normal joint function. However, disc displacement is a common condition that can lead to pain, restricted jaw movement and chronic TMJ dysfunction. OBJECTIVE: T... read more 

Boundary memory and image memorability are systematically related.

Psychonomic bulletin & review Oct 14, 2026
Boundary extension refers to the tendency to remember scenes as having wider boundaries than were physically present. A separate line of research has shown that image memorability, defined as the likelihood that an image will be remembered across obs... read more 

Three-dimensional anatomical classification and machine learning prediction of the P6a-right hepatic vein relationship: surgical implications for laparoscopic right anterior sectionectomy.

Surgical and radiologic anatomy : SRA Oct 14, 2026
BACKGROUND: The spatial relationship between the ventral branch of segment VI portal vein (P6a) and the right hepatic vein (RHV) significantly influences the anatomical complexity of the right hepatic fissure and the surgical outcomes of laparoscopic... read more 

The Colorimetric Scale for Skin of Color (CSSC) can Provide a Standardized Classification System for Patients with Diverse Skin Tones.

Dermatology and therapy Oct 14, 2026
The colorimetric scale for skin of color (CSSC) is an inexpensive, easy to use, rapidly performed assessment for the classification of skin color type of individuals with dark skin. The scale only includes colors, is not based on sun-reactive skin ty... read more 

OCTA Vessel Segmentation via UNet Transformers and Deformable Receptive Fields: A Motion-Artefact-Resilient Deep Learning Framework.

Journal of imaging informatics in medicine Oct 14, 2026
Optical coherence tomography angiography (OCTA) is a non-invasive medical imaging technique that helps doctors see the blood vessels of the retina and choroid in fine detail. However, OCTA images often suffer from motion artefacts, which lower the ac... read more 

Training-Volume Analysis, Computational Efficiency, and Green AI in Rotator Cuff Calcific Tendinopathy Classification-A Two-Institution Study with External Validation.

Journal of imaging informatics in medicine Oct 14, 2026
To evaluate how training data volume influences diagnostic performance, external validation, robustness to training-subset composition, and computational efficiency in a VGG19-based model for rotator cuff calcific tendinopathy (RCCT) classification o... read more 

Habitat Radiomics and Machine Learning for Preoperative Three-class Classification of Pediatric Acute Appendicitis: A Dual-center Study with External Validation.

Journal of imaging informatics in medicine Oct 14, 2026
Accurate preoperative differentiation of pediatric acute appendicitis subtypes is relevant to treatment planning. We developed and externally validated a machine-learning framework combining habitat-based computed tomography (CT) radiomics with clini... read more 

CausalCellInfer: Prioritizing Cell-Type-Specific Disease Associations From Genetically Predicted Transcriptomes in Biobank Cohorts.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Oct 14, 2026
Integrating single-cell RNA sequencing(scRNA-seq) with the phenotypic depth of population-scale biobanks is essential for elucidating the cellular basis of complex diseases. However, this is hindered by limited scRNA-seq sample size and the lack of c... read more 

Assessment of Dental Students' and Recent Graduates' Knowledge of Artificial Intelligence Applications in Dentistry.

European journal of dental education : official journal of the Association for Dental Education in Europe Oct 14, 2026
INTRODUCTION: Artificial intelligence (AI) is transforming dentistry by enhancing diagnostic accuracy, clinical efficiency and personalized treatment planning. This study evaluates the awareness and perceptions of AI applications among dental student... read more 
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