Surgery

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

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Showing 1072-1092 of 10,797 articles
Pterygoid implant-based maxillary full-arch rehabilitation using an autonomous robot system: A case report.

Pterygoid implant placement has been proven to be a viable option in full-arch implant rehabilitatio...

Development and Validation of a Machine Learning-Based Nomogram for Prediction of Unplanned Reoperation Postspinal Surgery Within 30 Days.

BACKGROUND: Unplanned reoperation postspinal surgery (URPS) leads to prolonged hospital stays, highe...

Impact of different nephrectomy types on M0 renal cell carcinoma outcomes in a propensity score matching and deep learning study.

There are few analyses comparing complete nephrectomy with resection of the renal parenchyma only (C...

AI solutions for overcoming delays in telesurgery and telementoring to enhance surgical practice and education.

Artificial intelligence (AI) has emerged as a transformative tool in surgery, particularly in telesu...

Evaluating the effectiveness of AI-powered UrologiQ's in accurately measuring kidney stone volume in urolithiasis patients.

Kidney stones and urolithiasis are kidney diseases that have a significant impact on health and well...

Weakly Supervised Classification of Mohs Surgical Sections Using Artificial Intelligence.

Basal cell carcinoma (BCC) is the most frequently diagnosed form of skin cancer, and its incidence c...

Machine learning adjusted sequential CUSUM-analyses are superior to cross-sectional analysis of excess mortality after surgery.

BACKGROUND: The assessment of clinical outcome quality, particularly in surgery, is crucial for heal...

Optimization of percutaneous intervention robotic system for skin insertion force.

PURPOSE: Percutaneous puncture is a common interventional procedure, and its effectiveness is influe...

OCTOPUS: operation control system for task optimization and job parallelization via a user-optimal scheduler.

The material acceleration platform, empowered by robotics and artificial intelligence, is a transfor...

Use of Text-to-Image Artificial Intelligence Model in Preoperative Counseling for Lip-Lift Procedures.

Text-to-image models powered by artificial intelligence offer a promising tool for enhancing patient...

Artificial intelligence based assessment of minimally invasive surgical skills using standardised objective metrics - A narrative review.

INTRODUCTION: Many studies display significant heterogeneity in the reliability of artificial intell...

Artificial Intelligence Compared to Manual Selection of Prospective Surgical Residents.

BACKGROUND: Artificial Intelligence (AI) in the selection of residency program applicants is a new t...

Artificial intelligence-assisted magnetic resonance imaging technology in the differential diagnosis and prognosis prediction of endometrial cancer.

It aimed to analyze the value of deep learning algorithm combined with magnetic resonance imaging (M...

Multi-label text classification via secondary use of large clinical real-world data sets.

Procedural coding presents a taxing challenge for clinicians. However, recent advances in natural la...

Revolutionizing spinal interventions: a systematic review of artificial intelligence technology applications in contemporary surgery.

Leveraging its ability to handle large and complex datasets, artificial intelligence can uncover sub...

Convolutional neural network-based classification of craniosynostosis and suture lines from multi-view cranial X-rays.

Early and precise diagnosis of craniosynostosis (CSO), which involves premature fusion of cranial su...

A Multi-Task Based Deep Learning Framework With Landmark Detection for MRI Couinaud Segmentation.

To achieve precise Couinaud liver segmentation in preoperative planning for hepatic surgery, accommo...

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