Surgery

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

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4D Monocular Surgical Reconstruction under Arbitrary Camera Motions

Reconstructing deformable surgical scenes from endoscopic videos is challenging and clinically impor...

FoundationPose-Initialized 3D-2D Liver Registration for Surgical Augmented Reality

Augmented reality can improve tumor localization in laparoscopic liver surgery. Existing registratio...

3D, multi-omic imaging reveals molecular biomarkers of the pre-metastatic niche in lung cancer

The recurrence rate following complete surgical resection of primary non-small cell lung cancer is a...

StrokeNeXt: A Siamese-encoder Approach for Brain Stroke Classification in Computed Tomography Imagery

We present StrokeNeXt, a model for stroke classification in 2D Computed Tomography (CT) images. Stro...

ARport: An Augmented Reality System for Markerless Image-Guided Port Placement in Robotic Surgery

Purpose: Precise port placement is a critical step in robot-assisted surgery, where port configurati...

Clinical validation of automated and multiple manual callosal angle measurement methods in idiopathic normal pressure hydrocephalus

Introduction Idiopathic normal pressure hydrocephalus (iNPH) is a partially reversible neurological ...

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

Background: Robot-assisted minimally invasive surgery (RMIS) research increasingly relies on multimo...

Chain-of-Look Spatial Reasoning for Dense Surgical Instrument Counting

Accurate counting of surgical instruments in Operating Rooms (OR) is a critical prerequisite for ens...

VLM-Guided Iterative Refinement for Surgical Image Segmentation with Foundation Models

Surgical image segmentation is essential for robot-assisted surgery and intraoperative guidance. How...

Back to Physics: Operator-Guided Generative Paths for SMS MRI Reconstruction

Simultaneous multi-slice (SMS) imaging with in-plane undersampling enables highly accelerated MRI bu...

CauCLIP: Bridging the Sim-to-Real Gap in Surgical Video Understanding via Causality-Inspired Vision-Language Modeling

Surgical phase recognition is a critical component for context-aware decision support in intelligent...

Unseen Insights: An AI-Powered Exploration of Secure Patient Messages in Ophthalmology

Objective To characterize the clinical and administrative concerns communicated through secure ophth...

Enabling Real-Time Colonoscopic Polyp Segmentation on Commodity CPUs via Ultra-Lightweight Architecture

Early detection of colorectal cancer hinges on real-time, accurate polyp identification and resectio...

From Pre- to Intra-operative MRI: Predicting Brain Shift in Temporal Lobe Resection for Epilepsy Surgery

Introduction: In neurosurgery, image-guided Neurosurgery Systems (IGNS) highly rely on preoperative ...

Physics-based generation of multilayer corneal OCT data via Gaussian modeling and MCML for AI-driven diagnostic and surgical guidance applications

Training deep learning models for corneal optical coherence tomography (OCT) imaging is limited by t...

Serum Proteomic Profiling Implicates a Dysregulated Neurohormonal-Inflammatory Axis in Post-Fontan Tachycardia

Background: Post-operative tachycardia is a common and poorly understood complication following the ...

Towards Autonomous Instrument Tray Assembly for Sterile Processing Applications

The Sterile Processing and Distribution (SPD) department is responsible for cleaning, disinfecting, ...

Endoleak Prediction After EVAR: A Point Cloud Neural Network Framework Enhanced by Computational Fluid Dynamics and Multi-Features

Background: Endovascular aortic aneurysm repair (EVAR) is effective in preventing rupture of abdomin...

A multimodal AI biomarker PATH-ORACLE improves prediction of recurrence in stage I lung adenocarcinoma

The standard treatment for stage I lung adenocarcinoma is surgical resection, in most cases without ...

Machine Learning-Based Prediction of Postoperative Refraction in Cataract Surgery: A Stacking Ensemble Approach

Background: Achieving precise postoperative refractive outcomes remains a significant challenge in c...

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