Artificial Intelligence Medical Compendium

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

Showing 51,171 to 51,180 of 225,062 articles

Multimodal brain-gut-sleep phenotypes predict delirium, long-term cognitive decline, and survival after colorectal cancer surgery.

Psychoneuroendocrinology Feb 12, 2026
BACKGROUND: Neuroimmune, circadian, autonomic, and gut-brain processes jointly shape vulnerability to postoperative delirium and long-term cognitive decline, yet their integrated contribution remains unclear. METHODS: In this prospective cohort (n = ... read more 

Towards real time AI-augmented fluorescence-guided surgery: Evidence and translational readiness across neurosurgical, gynaecological, and thoracic oncology.

Surgical oncology Feb 12, 2026
Fluorescence-guided surgery (FgS) is increasingly used across oncologic specialties to enhance intraoperative visualisation of tumour tissue and lymphatic drainage; however, its clinical impact remains limited by heterogeneous tracer uptake, variable... read more 

How threshold customisation affects the performance of a multiclass X-ray AI model for primary care triage: a retrospective study.

BMJ open Feb 12, 2026
OBJECTIVES: To describe the structured process of threshold optimisation for a commercially available multiclass chest X-ray (CXR) deep learning model, to evaluate its diagnostic performance across different operating thresholds, and to estimate its ... read more 

eccDNA2Ca: an ensemble deep learning framework for interpretable prediction of cancer-associated extrachromosomal circular DNA.

Journal of advanced research Feb 12, 2026
BACKGROUND: Extrachromosomal circular DNA (eccDNA) is increasingly recognized as a critical driver of oncogene amplification, therapeutic resistance, and intratumoral heterogeneity in cancer. However, existing computational approaches predominantly f... read more 

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

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

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

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

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

MiDAS: A Multimodal Data Acquisition System and Dataset for Robot-Assisted Minimally Invasive Surgery

arXiv Feb 12, 2026
Background: Robot-assisted minimally invasive surgery (RMIS) research increasingly relies on multimodal data, yet access to proprietary robot telemetry remains a major barrier. We introduce MiDAS, an open-source, platform-agnostic system enabling tim... read more 
Robotics cs.CV cs.LG
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