Artificial Intelligence Medical Compendium

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

Showing 26,401 to 26,410 of 218,283 articles

Decoding the surgical scene: A scoping review of scene graphs in surgery.

Medical image analysis
As surgical AI transitions from pixel-level detection to complex reasoning, Scene Graphs (SGs) offer the structured, relational representations necessary to decode dynamic surgical environments. This PRISMA-ScR-guided scoping review systematically ma... read more 

DARE: A Deformable Adaptive Regularization Estimator for learning-based medical image registration.

Artificial intelligence in medicine
Deformable medical image registration is a fundamental task in medical image analysis. While deep learning-based methods have demonstrated superior accuracy and efficiency, they often overlook the critical role of regularization in ensuring robustnes... read more 

Toward Precise Risk Stratification after the Functional Cure of Chronic Hepatitis B.

The Korean journal of gastroenterology = Taehan Sohwagi Hakhoe chi
Chronic hepatitis B remains a major global health challenge despite the advances in antiviral therapy. Although hepatitis B surface antigen (HBsAg) seroclearance is considered a functional cure, liver-related complications, particularly hepatocellula... read more 

[Advances in assessment methods of lymphatic drainage function].

Sheng li xue bao : [Acta physiologica Sinica]
The assessment of lymphatic drainage function is essential for understanding the role of the lymphatic system in fluid homeostasis, immunosurveillance and disease processes. Conventional methods of evaluation rely on dynamic visualization with tracer... read more 

A scoping review on conversational AI in mental health: A human-centered perspective.

International journal of medical informatics
BACKGROUND: Conversational AI offers scalable mental health support, with large language models (LLMs) enabling personalized interactions. Human-centered design is critical in this domain, yet a comprehensive synthesis from this perspective is lackin... read more 

Antibiotic resistance prediction with an attention-based bi-LSTM clinical decision support system.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVE: Antimicrobial resistance is recognized by the World Health Organization as a significant global health threat. In clinical practice, the accurate identification of bacterial susceptibility to antibiotics is crucial. However,... read more 

GiTNet: A graph-based trajectory-informed network for gaze-supervised medical image segmentation.

Medical image analysis
Creating fully annotated labels for medical image segmentation is both time-consuming and costly, underscoring the need for efficient annotation schemes to alleviate the workload. Eye tracking offers an economical solution that can be seamlessly inte... read more 

Reinventing miRNA cancer therapy through immunomodulation and AI.

Experimental cell research
Despite the rational therapeutic premise of microRNA (miRNA) replacement or inhibition for cancer treatment, its clinical translation remains significantly constrained. Major challenges span from inherent molecular instability and off-target effects ... read more 

Real-time, label-free assessment of cell fusion dynamics by high-content imaging.

Methods (San Diego, Calif.)
Cell-cell fusion is a fundamental biological process underlying diverse physiological and pathological phenomena, yet its quantitative analysis remains methodologically challenging due to its dynamic, heterogeneous, and multistep nature. Existing app... read more