Artificial Intelligence Medical Compendium

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

Showing 50,891 to 50,900 of 225,062 articles

Construction of a deep learning-based predictive model for delayed graft function in kidney transplantation.

Current urology Feb 13, 2026
BACKGROUND: Delayed graft function (DGF) is a major complication of kidney transplantation that adversely affects long-term graft survival. This study aimed to develop and validate deep learning-based predictive models for DGF risk assessment in dece... read more 

Molecular Stratification of Antiphospholipid Syndrome Through Integrative Analysis of the Whole-Blood RNA Transcriptome.

Arthritis & rheumatology (Hoboken, N.J.) Feb 13, 2026
OBJECTIVE: Antiphospholipid syndrome (APS) is a thromboinflammatory disorder characterized by clinical and mechanistic heterogeneity that complicates early diagnosis and hinders targeted treatment. We aimed to identify distinct molecular endotypes am... read more 

Bio-inspired design and neural network-enhanced control of a cable-driven shoulder mechanism.

Bioinspiration & biomimetics Feb 13, 2026
Given its complexity within the upper limb, the shoulder joint presents a major design challenge in the creation of humanoid robots, driving the need for bio-inspired mechanisms that achieve both dexterity and stability. This study deals with the bio... read more 

TeleSurgery: The Present and the Future for Minimally Invasive and Robotic Surgery.

Surgical oncology clinics of North America Feb 13, 2026
Telesurgery represents the fusion of surgical and telecommunications technologies that allow surgeons to remotely operate on patients using robotic systems. Two decades after the first successful transatlantic surgery, telesurgery is finally transiti... read more 

Deep learning models for predicting opaque bubble layer morphology of keratorefractive lenticule extraction before laser scanning.

Advances in ophthalmology practice and research Feb 13, 2026
PURPOSES: To develop deep learning (DL) models for predicting opaque bubble layer (OBL) morphology and area before femtosecond laser scanning in keratorefractive lenticule extraction (KLEx) procedures. METHODS: A total of 10276 frames from 5138 KLEx ... read more 

Conference Proceedings of the Inaugural Conference of the International Society for Tractography (IST 2025 Bordeaux)

arXiv Feb 12, 2026
This collection comprises the abstracts presented during poster, power pitch and oral sessions at the Inaugural Conference of the International Society for Tractography (IST Conference 2025), held in Bordeaux, France, from October 13-16, 2025. The co... read more 
Image and Video Processing cs.CV q-bio.NC

Prototype-driven fusion of pathology and spatial transcriptomics for interpretable survival prediction

arXiv Feb 12, 2026
Whole slide images (WSIs) enable weakly supervised prognostic modeling via multiple instance learning (MIL). Spatial transcriptomics (ST) preserves in situ gene expression, providing a spatial molecular context that complements morphology. As paired ... read more 
Computer Vision and Pattern Recognition

Semantic-aware Adversarial Fine-tuning for CLIP

arXiv Feb 12, 2026
Recent studies have shown that CLIP model's adversarial robustness in zero-shot classification tasks can be enhanced by adversarially fine-tuning its image encoder with adversarial examples (AEs), which are generated by minimizing the cosine similari... read more 
Computer Vision and Pattern Recognition

Designing RNAs with Language Models

arXiv Feb 12, 2026
RNA design, the task of finding a sequence that folds into a target secondary structure, has broad biological and biomedical impact but remains computationally challenging due to the exponentially large sequence space and exponentially many competing... read more 
Machine Learning cs.AI

Task- and Metric-Specific Signal Quality Indices for Medical Time Series

arXiv Feb 12, 2026
Medical time series such as electrocardiograms (ECGs) and photoplethysmograms (PPGs) are frequently affected by measurement artifacts due to challenging acquisition environments, such as in ambulances and during routine daily activities. Since automa... read more 
Signal Processing cs.LG
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