Surgery

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

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Explainable machine learning to compare the overall survival status between patients receiving mastectomy and breast conserving surgeries.

The most prevalent malignancy among women is breast cancer; hence, treatment approaches are needed i...

Robotic hand surgery: current insights and future directions.

Robotic surgery is a rapidly evolving field that will potentially play a pivotal role in future pati...

The Role of 3D technology in corrective osteotomy for forearm malunion.

Forearm malunion affects upper limb function, impairing rotation, grip strength, and dexterity. Trad...

FE reduced-order model-informed neural operator for structural dynamic response prediction.

Physics-Informed Neural Networks (PINN) have achieved remarkable advancements in recent years and ha...

Predicting Long-Term Survival after Endovascular Aneurysm Repair Using Machine Learning-Based Decision Tree Analysis.

ObjectiveEndovascular aneurysm repair (EVAR) has become a preferred method for treating abdominal ao...

A new era in nephrology: the role of super-resolution microscopy in research, medical diagnostic, and drug discovery.

For decades, electron microscopy has been the primary method to visualize ultrastructural details of...

Proof-of-Concept Prompted Large Language Model for Radiology Procedure Request Routing.

PURPOSE: To measure the accuracy and cost of a proof-of-concept prompted large language model to rou...

Early prediction of intraventricular hemorrhage in very low birth weight infants using deep neural networks with attention in low-resource settings.

Early prediction of intraventricular hemorrhage (IVH) in very low-birthweight infants (VLBWIs) remai...

Artificial intelligence enhanced Chatbot boom: A single center observational study to evaluate assistance in clinical anesthesiology.

BACKGROUND AND AIMS: The field of anaesthesiology and perioperative medicine has explored advancemen...

Beyond traditional orthopaedic data analysis: AI, multimodal models and continuous monitoring.

Multimodal artificial intelligence (AI) has the potential to revolutionise healthcare by enabling th...

A stacking ensemble machine learning model for predicting postoperative axial pain intensity in patients with degenerative cervical myelopathy.

Machine learning (ML) has been extensively utilized to predict complications associated with various...

Application of machine learning models to identify predictors of good outcome after laparoscopic fundoplication.

BACKGROUND: Laparoscopic fundoplication remains the gold standard treatment for gastroesophageal ref...

Development of a machine learning-based tension measurement method in robotic surgery.

BACKGROUND: Over 300,000 colorectal surgeries are performed annually in the U.S. with up to 10% comp...

Innovative Technologies for Smarter and Efficient Operating Room Scheduling.

An optimized scheduling system for surgical procedures is considered fundamental for maximizing hosp...

Rapid, non-invasive breath analysis for enhancing detection of silicosis using mass spectrometry and interpretable machine learning.

Occupational lung diseases, such as silicosis, are a significant global health concern, especially w...

[Simulators and simulation for advanced training in orthopedic and trauma surgery : An overview].

Simulators and immersive technologies, such as virtual reality and augmented reality are becoming in...

Predicting postoperative nausea and vomiting using machine learning: a model development and validation study.

BACKGROUND: Postoperative nausea and vomiting (PONV) is a frequently observed complication in patien...

Weed-crop dataset in precision agriculture: Resource for AI-based robotic weed control systems.

Effective weed management is crucial for maintaining optimal crop growth and achieve higher yield. R...

Perioperative risk assessment for emergency general surgery in those with multimorbidity or frailty.

PURPOSE OF REVIEW: This review explores advances in risk stratification tools and their applicabilit...

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