Surgery

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

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[The application of artificial intelligence in enhancing the safety of pancreatic surgeries].

Pancreatic surgeries have long been considered as challenging procedures due to its complex surgical...

[Current situation and development trends of minimally invasive surgical procedures in the treatment of pancreatic tumors].

With the rapid development of modern medical technology,minimally invasive surgical procedures are p...

Machine learning-driven national analysis for predicting adverse outcomes in intramedullary spinal cord tumor surgery.

UNLABELLED: Spinal tumors represent 15% of all central nervous system malignancies, with intramedull...

Towards a dynamic model to estimate evolving risk of major bleeding after percutaneous coronary intervention.

While static risk models may identify key driving risk factors, the dynamic nature of risk requires ...

Bioethical challenges in the integration of artificial intelligence in transplant surgery 4.0: A scoping review.

INTRODUCTION: The integration of artificial intelligence (AI) into transplant surgery offers potenti...

Adaptive fixed-time fault-tolerant trajectory tracking control for disturbed robotic manipulator.

This article introduces a fixed-time trajectory control method for robotic manipulators, aimed at im...

Mini-review: Perioperative pain management in gynecologic oncology - strategies and future directions.

This mini-review discusses important factors in opioid use in gynecologic oncology in the perioperat...

From Faster Frames to Flawless Focus: Deep Learning HASTE in Postoperative Single Sequence MRI.

BACKGROUND: This study evaluates the feasibility of a novel deep learning-accelerated half-fourier s...

A Multicentre Comparative Analysis of Radiomics, Deep-learning, and Fusion Models for Predicting Postpartum Hemorrhage.

RATIONALE AND OBJECTIVE: This study compared the capabilities of two-dimensional (2D) and three-dime...

NeuroLens: organ localization using natural language commands for anatomical recognition in surgical training.

PURPOSE: This study introduces NeuroLens, a multimodal system designed to enhance anatomical recogni...

A Comprehensive Framework for the Prediction of Intra-Operative Hypotension.

In this paper, the problem of triggering early warning for intra-operative hypotension (IOH) is addr...

Comprehensive predictive modeling in subarachnoid hemorrhage: integrating radiomics and clinical variables.

Subarachnoid hemorrhage (SAH) is a severe condition with high morbidity and long-term neurological c...

Machine learning model for the prediction of postoperative acute kidney injury (AKI) in neonates undergoing digestive surgery.

OBJECTIVE: The aim of our study is to determine the main predictors of postoperative AKI in neonates...

Interconnected robotic platforms inform deep-sea ecological restoration trends.

The implementation of Marine Protected Areas (MPAs) has increased in the last few decades, creating ...

InvitedĀ Response to "Artificial Intelligence in Rhinoplasty: Precision or Over-Reliance?".

The integration of artificial intelligence (AI) into surgical practice demands critical reflection-n...

An artificial intelligence enhanced coaching mode.

Surgical coaching has emerged as an innovative educational strategy designed to enhance both the tec...

Machine Learning-Based Biomarker Discovery from Serum Trace Elements and Biochemical Parameters in Patients with Nasal Polyps.

Nasal polyps (NP) are benign mucosal outgrowths associated with chronic inflammation that can signif...

Enhancing Surgical Precision: A Systematic Review of Wearable Medical Devices for Assisted Surgery.

The integration of wearable medical devices into surgical practice has transformed the field, enabli...

Machine learning-based hybrid risk estimation system (ERES) in cardiac surgery: Supplementary insights from the ASA score analysis.

Accurate prediction of postoperative mortality risk after cardiac surgery is essential to improve pa...

Biomimetic Neural Intelligent E-Skin System for Tactile Perception and Robotic Decision-Making.

The widespread application of electronic skin (e-skin) in human-machine interaction necessitates int...

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