Surgery

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

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Showing 6910-6930 of 9,676 articles
PanORama: Multiview Consistent Panoptic Segmentation in Operating Rooms

Operating rooms (ORs) are cluttered, dynamic, highly occluded environments, where reliable spatial u...

A Unified Platform and Quality Assurance Framework for 3D Ultrasound Reconstruction with Robotic, Optical, and Electromagnetic Tracking

Three-dimensional (3D) Ultrasound (US) can facilitate diagnosis, treatment planning, and image-guide...

Patient4D: Temporally Consistent Patient Body Mesh Recovery from Monocular Operating Room Video

Recovering a dense 3D body mesh from monocular video remains challenging under occlusion from drapin...

Automated Detection and Quantification of Hemorrhagic Transformation After Endovascular Thrombectomy

Background Hemorrhagic transformation (HT) after endovascular thrombectomy (EVT) is a principal dete...

Speak, Segment, Track, Navigate: An Interactive System for Video-Guided Skull-Base Surgery

We introduce a speech-guided embodied agent framework for video-guided skull base surgery that dynam...

Federated Learning with Multi-Partner OneFlorida+ Consortium Data for Predicting Major Postoperative Complications

Background: This study aims to develop and validate federated learning models for predicting major p...

From Passive Observer to Active Critic: Reinforcement Learning Elicits Process Reasoning for Robotic Manipulation

Accurate process supervision remains a critical challenge for long-horizon robotic manipulation. A p...

Generalized Recognition of Basic Surgical Actions Enables Skill Assessment and Vision-Language-Model-based Surgical Planning

Artificial intelligence, imaging, and large language models have the potential to transform surgical...

Surg-R1: A Hierarchical Reasoning Foundation Model for Scalable and Interpretable Surgical Decision Support with Multi-Center Clinical Validation

Surgical scene understanding demands not only accurate predictions but also interpretable reasoning ...

AI is Smart. Is it Wise? Quantifying the Effect of Patient-Choice (β) on Physical Outcomes

Large language models (LLMs) increasingly guide clinical decisions through population-level evidence...

Automated Detection of Malignant Lesions in the Ovary Using Deep Learning Models and XAI

The unrestrained proliferation of cells that are malignant in nature is cancer. In recent times, med...

Using multiomic data to predict postoperative complications after major surgery in the UK Biobank cohort

Introduction Postoperative complications after major surgery have substantial impacts on morbidity a...

What do near-optimal learning rate schedules look like?

A basic unanswered question in neural network training is: what is the best learning rate schedule s...

Spatial self-supervised Peak Learning and correlation-based Evaluation of peak picking in Mass Spectrometry Imaging

Mass spectrometry imaging (MSI) enables label-free visualization of molecular distributions across t...

SurgFed: Language-guided Multi-Task Federated Learning for Surgical Video Understanding

Surgical scene Multi-Task Federated Learning (MTFL) is essential for robot-assisted minimally invasi...

OSCAR: Occupancy-based Shape Completion via Acoustic Neural Implicit Representations

Accurate 3D reconstruction of vertebral anatomy from ultrasound is important for guiding minimally i...

Training-free Temporal Object Tracking in Surgical Videos

Purpose: In this paper, we present a novel approach for online object tracking in laparoscopic chole...

Imagine How To Change: Explicit Procedure Modeling for Change Captioning

Change captioning generates descriptions that explicitly describe the differences between two visual...

Technical Report: Automated Optical Inspection of Surgical Instruments

In the dynamic landscape of modern healthcare, maintaining the highest standards in surgical instrum...

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