Surgery

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

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Uncovering Neuroimaging Biomarkers of Brain Tumor Surgery with AI-Driven Methods

Brain tumor resection is a complex procedure with significant implications for patient survival an...

SPIDER: Structure-Preferential Implicit Deep Network for Biplanar X-ray Reconstruction

Biplanar X-ray imaging is widely used in health screening, postoperative rehabilitation evaluation...

A comprehensive review of dexterous robotic hands: design, implementation, and evaluation.

Dexterous robotic hands have been a central focus in robotics research, aiming to replicate the vers...

Jul 2025 40555271
MLLM-Fabric: Multimodal Large Language Model-Driven Robotic Framework for Fabric Sorting and Selection

Choosing the right fabric is crucial to meet functional and quality requirements in robotic applic...

Robot-assisted Transcranial Magnetic Stimulation (Robo-TMS): A Review

Transcranial magnetic stimulation (TMS) is a non-invasive and safe brain stimulation procedure wit...

CLIP-RL: Surgical Scene Segmentation Using Contrastive Language-Vision Pretraining & Reinforcement Learning

Understanding surgical scenes can provide better healthcare quality for patients, especially with ...

Surg-SegFormer: A Dual Transformer-Based Model for Holistic Surgical Scene Segmentation

Holistic surgical scene segmentation in robot-assisted surgery (RAS) enables surgical residents to...

CPKD: Clinical Prior Knowledge-Constrained Diffusion Models for Surgical Phase Recognition in Endoscopic Submucosal Dissection

Gastrointestinal malignancies constitute a leading cause of cancer-related mortality worldwide, wi...

Intelligent Histology for Tumor Neurosurgery

The importance of rapid and accurate histologic analysis of surgical tissue in the operating room ...

SurgVisAgent: Multimodal Agentic Model for Versatile Surgical Visual Enhancement

Precise surgical interventions are vital to patient safety, and advanced enhancement algorithms ha...

Future Slot Prediction for Unsupervised Object Discovery in Surgical Video

Object-centric slot attention is an emerging paradigm for unsupervised learning of structured, int...

SonoGym: High Performance Simulation for Challenging Surgical Tasks with Robotic Ultrasound

Ultrasound (US) is a widely used medical imaging modality due to its real-time capabilities, non-i...

Surgical Neural Radiance Fields from One Image

Purpose: Neural Radiance Fields (NeRF) offer exceptional capabilities for 3D reconstruction and vi...

Stable Tracking of Eye Gaze Direction During Ophthalmic Surgery

Ophthalmic surgical robots offer superior stability and precision by reducing the natural hand tre...

Topology-Constrained Learning for Efficient Laparoscopic Liver Landmark Detection

Liver landmarks provide crucial anatomical guidance to the surgeon during laparoscopic liver surge...

Image-based detection of the internal carotid arteries and sella turcica in endoscopic endonasal transsphenoidal surgery.

OBJECTIVE: Endoscopic endonasal transsphenoidal surgery (EETS) is a minimally invasive procedure tha...

Jul 2025 40591959
Open-source AI-assisted rapid 3D color multimodal image fusion and preoperative augmented reality planning of extracerebral tumors.

OBJECTIVE: This study aimed to develop an advanced method for preoperative planning and surgical gui...

Jul 2025 40591963
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