Surgery

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

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MEF-Net: Multi-scale and edge feature fusion network for intracranial hemorrhage segmentation in CT images.

Intracranial Hemorrhage (ICH) refers to cerebral bleeding resulting from ruptured blood vessels with...

Jun 2025 40286496
Predicting Severe Postoperative Complications after CRS-HIPEC: An Externally Validated Machine-Learning Tool.

INTRODUCTION: Current decision support tools designed to predict postoperative complications, follow...

Jun 2025 40295427
Evaluating artificial intelligence in decision-making for surgical treatment of benign breast conditions.

INTRODUCTION: Determining the ideal surgical strategy for breast pathologies can sometimes be challe...

Jun 2025 40305890
The best machine learning algorithm for building surgical site infection predictive models: A systematic review and network meta-analysis.

BACKGROUND: Many machine learning (ML) algorithms have been used to develop surgical site infection ...

Jun 2025 40311461
Inter-hospital transferability of AI: A case study on phase recognition in cholecystectomy.

BACKGROUND: Identifying surgical phases is a crucial component of surgical workflow analysis, facili...

Jun 2025 40328029
A Master-Follower Teleoperation System for Robotic Catheterisation: Design, Characterisation and Tracking Control.

BACKGROUND: Over the past 2 decades, telerobotic systems with robot-mediated, minimally invasive tec...

Jun 2025 40331600
Improving microsurgical suture training with automated phase recognition and skill assessment via deep learning.

Microsurgical suturing demands a high level of precision, skill, and extensive training to ensure su...

Jun 2025 40339525
Use of Machine Learning to Compare Disease Risk Scores and Propensity Scores Across Complex Confounding Scenarios: A Simulation Study.

PURPOSE: The surge of treatments for COVID-19 in the second quarter of 2020 had a low prevalence of ...

Jun 2025 40457713
Dynamic Locomotion Synchronization and Fuzzy Control of a Lower Limb Exoskeleton With Body Weight Support for Active Following Human Operator.

Despite remarkable progress in robotic exoskeletons, exoskeletons are still far from matching human-...

Jun 2025 40249684
Attention in surgical phase recognition for endoscopic pituitary surgery: Insights from real-world data.

BACKGROUND AND OBJECTIVE: Surgical Phase Recognition systems are used to support the automated docum...

Jun 2025 40249993
Factors influencing the estimation of phacoemulsification procedure time in cataract surgery: Analysis using neural networks.

BACKGROUND AND OBJECTIVE: Realistic and accurate estimation of the surgery duration is one of the ke...

Jun 2025 40252340
Prediction of endoscopic restenosis after endoscopic balloon dilation in patients with Crohn's disease: a machine learning approach.

BACKGROUND: Endoscopic balloon dilation (EBD) is recognized as a minimally invasive and effective pr...

Jun 2025 40355737
The impact of the large language model ChatGPT in oral and maxillofacial surgery: a systematic review.

This systematic review evaluates the impact of the large language model (LLM) ChatGPT in oral and ma...

Jun 2025 40251084
Multi-layered data framework for enhancing postoperative outcomes and anaesthesia management through natural language processing.

Anaesthesia management is a critical aspect of perioperative care, directly influencing postoperativ...

Jun 2025 40252977
Integrating Machine Learning and Dynamic Digital Follow-up for Enhanced Prediction of Postoperative Complications in Bariatric Surgery.

BACKGROUND: Traditional risk models, such as POSSUM and OS-MS, have limited accuracy in predicting c...

Jun 2025 40314925
Automatic gesture recognition and evaluation in peg transfer tasks of laparoscopic surgery training.

BACKGROUND: Laparoscopic surgery training is gaining increasing importance. To release doctors from ...

Jun 2025 40316752
Interactive Imitation Learning for Dexterous Robotic Manipulation: Challenges and Perspectives -- A Survey

Dexterous manipulation is a crucial yet highly complex challenge in humanoid robotics, demanding p...

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