Surgery

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

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A Data-Centric Framework for Intraoperative Fluorescence Lifetime Imaging for Glioma Surgical Guidance

Accurate intraoperative assessment of glioma infiltration is essential for maximizing tumor resectio...

Interpretable Transformer-Based Phase Recognition for Transabdominal Preperitoneal Laparoscopic Inguinal Hernia Repair

Background: Surgical phase recognition is a critical prerequisite for context-aware operating rooms ...

SAMe: A Semantic Anatomy Mapping Engine for Robotic Ultrasound

Robotic ultrasound has advanced local image-driven control, contact regulation, and view optimizatio...

SlicerRoboTMS: An Open-Source 3D Slicer Extension for Robot-Assisted Transcranial Magnetic Stimulation

Robot-assisted Transcranial Magnetic Stimulation (Robo-TMS) is an image-guided robotic intervention ...

Radiomics- and Clinical Feature-Driven Prediction of Volumetric Response in Skull-Base Meningioma after CyberKnife Radiosurgery

Skull-base meningiomas are often characterized by favorable long-term prognosis, yet their anatomica...

GlioVision: A Multi-Modal MRI Framework for Non-Invasive Glioma Molecular Biomarkers Prediction

Gliomas are aggressive primary brain tumors that necessitate critical molecular biomarker prediction...

Prognosis of stroke subtypes in whole population health systems data: a matched cohort study

Background Outcome after stroke varies according to stroke subtype by location, but healthcare syste...

Sum-of-Checks: Structured Reasoning for Surgical Safety with Large Vision-Language Models

Purpose: Accurate assessment of the Critical View of Safety (CVS) during laparoscopic cholecystectom...

Protect the Brain When Treating the Heart: A Convolutional Neural Network for Detecting Emboli

Gaseous microemboli (GME) represent a common complication of cardiac structural interventions across...

Analysis and Mitigation of Equipment-induced Shortcuts in AI Models for Laparoscopic Cholecystectomy

Machine learning models have seen a lot of success in medical image segmentation domain. However, on...

SurgCoT: Advancing Spatiotemporal Reasoning in Surgical Videos through a Chain-of-Thought Benchmark

Fine-grained spatiotemporal reasoning on surgical videos is critical, yet the capabilities of Multi-...

Where are they looking in the operating room?

Purpose: Gaze-following, the task of inferring where individuals are looking, has been widely studie...

Trustworthy Endoscopic Super-Resolution

Super-resolution (SR) models are attracting growing interest for enhancing minimally invasive surger...

Can LLM-Generated Text Empower Surgical Vision-Language Pre-training?

Recent advancements in self-supervised learning have led to powerful surgical vision encoders capabl...

Deep learning based Non-Rigid Volume-to-Surface Registration for Brain Shift compensation Using Point Cloud

Soft-tissue deformation remains a major limitation in image-guided neurosurgery, where intra-operati...

HyKey: Hyperspectral Keypoint Detection and Matching in Minimally Invasive Surgery

Purpose: 3D reconstruction in minimally invasive surgery (MIS) enables enhanced surgical guidance th...

Preoperative CT-Based Habitat Radiomics Classifiers Predict Recurrence in Non-Small Cell Lung Cancer

Objectives: Among surgically resected non-small cell lung cancer (NSCLC) patients with similar stage...

Towards Patient-Specific Deformable Registration in Laparoscopic Surgery

Unsafe surgical care is a critical health concern, often linked to limitations in surgeon experience...

ReXSonoVQA: A Video QA Benchmark for Procedure-Centric Ultrasound Understanding

Ultrasound acquisition requires skilled probe manipulation and real-time adjustments. Vision-languag...

ReXSonoVQA: A Video QA Benchmark for Procedure-Centric Ultrasound Understanding

Ultrasound acquisition requires skilled probe manipulation and real-time adjustments. Vision-languag...

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