Artificial Intelligence Medical Compendium

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

Showing 47,561 to 47,570 of 224,199 articles

Vascularisation in 3D bioprinted models: emerging solutions engineering functional tissues and tumour models.

Biofabrication Feb 24, 2026
Three-dimensional (3D) bioprinting enables the fabrication of tissues with controlled architecture and cell composition, yet the formation of mature and functional vascular networks remains a major bottleneck for clinical translation. Constructs thic... read more 

Using artificial intelligence (CognoSpeak™) in memory assessments: a GP interview study.

BJGP open Feb 24, 2026
BACKGROUND: The memory assessment pathway (MAP) for people with subjective memory deficits (dementia, mild cognitive impairment, and other diagnoses) is under huge strain and new diagnostic technologies have been identified as a high priority for res... read more 

Screening for Breast Cancer: Imaging Updates.

Radiologic clinics of North America Feb 24, 2026
This article provides a comprehensive overview of breast cancer screening guidelines and the evolving role of established and emerging imaging technologies. It reviews the proven mortality benefit of mammography, the widespread adoption of digital br... read more 

Macula Spatial Patterns and Their Association With Central Visual Field Progression in Glaucoma Using Artificial Intelligence.

Journal of glaucoma Feb 24, 2026
PRECIS: Artificial intelligence-derived macular thinning patterns were associated with central visual field progression in glaucoma and outperformed global thickness metrics in predicting progression across disease severities. PURPOSE: To provide spa... read more 

Minimally Invasive Resection of a Compound Odontoma Assisted by an Autonomous Oral Robot: A Technical Innovation.

Journal of oral and maxillofacial surgery : official journal of the American Association of Oral and Maxillofacial Surgeons Feb 24, 2026
This report describes the first clinical application of an autonomous oral robot for minimally invasive resection of a compound odontoma in a 16-year-old female, thereby filling a gap in both reported cases and standardized protocols. Oral examinatio... read more 

Three-dimensional Printing and Surgical Planning for Complex Chest Wall Resections.

Thoracic surgery clinics Feb 24, 2026
Three-dimensional printing is increasingly used in the planning and reconstruction of complex chest wall resections. This article examines its clinical applications across the surgical workflow, including preoperative modeling, simulation, intraopera... read more 

Seeing Through Words: Controlling Visual Retrieval Quality with Language Models

arXiv Feb 24, 2026
Text-to-image retrieval is a fundamental task in vision-language learning, yet in real-world scenarios it is often challenged by short and underspecified user queries. Such queries are typically only one or two words long, rendering them semantically... read more 
Computer Vision and Pattern Recognition

XMorph: Explainable Brain Tumor Analysis Via LLM-Assisted Hybrid Deep Intelligence

arXiv Feb 24, 2026
Deep learning has significantly advanced automated brain tumor diagnosis, yet clinical adoption remains limited by interpretability and computational constraints. Conventional models often act as opaque ''black boxes'' and fail to quantify the comple... read more 
Computer Vision and Pattern Recognition cs.AI

Mask-HybridGNet: Graph-based segmentation with emergent anatomical correspondence from pixel-level supervision

arXiv Feb 24, 2026
Graph-based medical image segmentation represents anatomical structures using boundary graphs, providing fixed-topology landmarks and inherent population-level correspondences. However, their clinical adoption has been hindered by a major requirement... read more 
Computer Vision and Pattern Recognition

The Diffusion Duality, Chapter II: $Ψ$-Samplers and Efficient Curriculum

arXiv Feb 24, 2026
Uniform-state discrete diffusion models excel at few-step generation and guidance due to their ability to self-correct, making them preferred over autoregressive or Masked diffusion models in these settings. However, their sampling quality plateaus w... read more 
Machine Learning
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