Surgery

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

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IKDiffuser: Fast and Diverse Inverse Kinematics Solution Generation for Multi-arm Robotic Systems

Solving Inverse Kinematics (IK) problems is fundamental to robotics, but has primarily been succes...

In-Hand Object Pose Estimation via Visual-Tactile Fusion

Accurate in-hand pose estimation is crucial for robotic object manipulation, but visual occlusion ...

SWDL: Stratum-Wise Difference Learning with Deep Laplacian Pyramid for Semi-Supervised 3D Intracranial Hemorrhage Segmentation

Recent advances in medical imaging have established deep learning-based segmentation as the predom...

Real-time integrated modeling of soft tissue deformation and stress based on deep learning.

. Accurately and in real-time simulating soft tissue deformation and visualizing stress distribution...

Jun 2025 40436029
CHIP: A multi-sensor dataset for 6D pose estimation of chairs in industrial settings

Accurate 6D pose estimation of complex objects in 3D environments is essential for effective robot...

Design of an innovative robotic surgical instrument for circular stapling

Esophageal cancer remains a highly aggressive malignancy with low survival rates, requiring advanc...

WetCat: Automating Skill Assessment in Wetlab Cataract Surgery Videos

To meet the growing demand for systematic surgical training, wetlab environments have become indis...

FreqPolicy: Efficient Flow-based Visuomotor Policy via Frequency Consistency

Generative modeling-based visuomotor policies have been widely adopted in robotic manipulation att...

RoboSwap: A GAN-driven Video Diffusion Framework For Unsupervised Robot Arm Swapping

Recent advancements in generative models have revolutionized video synthesis and editing. However,...

SurgBench: A Unified Large-Scale Benchmark for Surgical Video Analysis

Surgical video understanding is pivotal for enabling automated intraoperative decision-making, ski...

SAP-Bench: Benchmarking Multimodal Large Language Models in Surgical Action Planning

Effective evaluation is critical for driving advancements in MLLM research. The surgical action pl...

MapleGrasp: Mask-guided Feature Pooling for Language-driven Efficient Robotic Grasping

Robotic manipulation of unseen objects via natural language commands remains challenging. Language...

Challenging Vision-Language Models with Surgical Data: A New Dataset and Broad Benchmarking Study

While traditional computer vision models have historically struggled to generalize to endoscopic d...

SurGSplat: Progressive Geometry-Constrained Gaussian Splatting for Surgical Scene Reconstruction

Intraoperative navigation relies heavily on precise 3D reconstruction to ensure accuracy and safet...

Geometric Visual Servo Via Optimal Transport

When developing control laws for robotic systems, the principle factor when examining their perfor...

Large-scale Self-supervised Video Foundation Model for Intelligent Surgery

Computer-Assisted Intervention (CAI) has the potential to revolutionize modern surgery, with surgi...

SurgVLM: A Large Vision-Language Model and Systematic Evaluation Benchmark for Surgical Intelligence

Foundation models have achieved transformative success across biomedical domains by enabling holis...

Predicting Postoperative Stroke in Elderly SICU Patients: An Interpretable Machine Learning Model Using MIMIC Data

Postoperative stroke remains a critical complication in elderly surgical intensive care unit (SICU...

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