Surgery

Latest AI and machine learning research in surgery for healthcare professionals.

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SurgLQA: Scalable Long-Horizon Surgical Video Question Answering

Surgical Video Question Answering (VideoQA) provides a promising paradigm for dynamic intraoperative...

Deep learning-based recognition model for surgical phases of minimally invasive hysterectomy: A multicentre retrospective study

Objective: To develop and validate a robust deep-learning model capable of fine-grained phase recogn...

Elevated serum apolipoprotein B and lipoprotein remodelling distinguish adults with HLH from HLH mimics and controls

Haemophagocytic lymphohistiocytosis (HLH) is a rare, life-threatening hyperinflammatory syndrome cha...

AnnotX: An Edge-powered Laparoscopic Video Annotation Platform

Accurate and objective evaluation of surgical skill and performance is critical for advancing traini...

Plasmatic immune extracellular vesicle profiles identify prodromal and early stages of Parkinson's disease

Extracellular vesicles (EVs) hold promise as minimally invasive biomarkers for neurodegenerative pro...

Let Robots Feel Your Touch: Visuo-Tactile Cortical Alignment for Embodied Mirror Resonance

Observing touch on another's body can elicit corresponding tactile sensations in the observer, a phe...

DentaCoPilot: An LLM-Augmented Next-Procedure Recommender for General Dentistry, Designed for Dentist Augmentation

Background. Commercial dental artificial intelligence in 2026 is overwhelmingly diagnostic: caries, ...

Enhancing dengue diagnosis and surveillance by integrating machine learning technologies with the NS1 rapid test kit

Background. Dengue has been a major health threat globally in recent years. In particular, dengue in...

Predicting bladder cancer molecular subtypes linked to bacillus Calmette-Guerin response from histology images using deep learning

Background and objective: High-risk non-muscle-invasive bladder cancer (HR-NMIBC) is treated with tr...

Hierarchical integration of multimodal clinical data to predict epilepsy surgery outcome

Background: Integrating multimodal data into medical artificial intelligence (AI) tools and evaluati...

Multi-LLM Disagreement as a Scalable Detector of Human Annotation Errors in Structured Data from Clinical Free-Text

Abstract Objective: Structured extraction from clinical free-text depends on human annotators whose ...

Disentangling Shared and Task-Specific Representations from Multi-Modal Clinical Data

Real-world clinical data is inherently multimodal, providing complementary evidence that mirrors the...

EASE: Federated Multimodal Unlearning via Entanglement-Aware Anchor Closure

Federated Multimodal Learning (FML) trains multimodal models across decentralized clients while keep...

Assessing Pancreatic Ductal Adenocarcinoma Vascular Invasion: the PDACVI Benchmark

Surgical resection remains the only potentially curative treatment for pancreatic ductal adenocarcin...

Deep Learning-Based Segmentation of Peritoneal Cancer Index Regions from CT Imaging

Peritoneal metastases are currently assessed using diagnostic laparoscopy to determine Sugarbaker's ...

Learning from Disagreement: Clinician Overrides as Implicit Preference Signals for Clinical AI in Value-Based Care

We reframe clinician overrides of clinical AI recommendations as implicit preference data - the same...

Predicting one-year postoperative functional status in contrast-enhancing glioma

Background and Objectives Preoperative prediction of functional outcomes in contrast-enhancing gliom...

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