Surgery

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

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Optimizing operating room efficiency in robotic-assisted total knee arthroplasty through manufacturing efficiency principles.

PURPOSE: Recent studies have explored the application of manufacturing efficiency principles as a fr...

A Comprehensive Video Dataset for Surgical Laparoscopic Action Analysis.

Laparoscopic surgery has been widely used in various surgical fields due to its minimally invasive a...

Advancements in Machine Learning for Precision Diagnostics and Surgical Interventions in Interconnected Musculoskeletal and Visual Systems.

Artificial intelligence (AI) is reshaping precision medicine by revealing diagnostic links between o...

Deep Learning-Based Aortic Diameter Measurement in Traumatic Hemorrhage Using Shallow Attention Network: A Path Forward.

The accurate assessment of aortic diameter (AoD) is essential in managing patients with traumatic h...

Enhancing Label-Free Fluorescence Lifetime Imaging for Intraoperative Tumor Margin Delineation in Head and Neck Cancer using Data-Centric AI.

Precise intraoperative delineation of tumor margin is critical for maximizing resection completeness...

Robotics and Digital Surgery. Toward a Uniquely Differentiated Specialty.

Digital surgery is a composite term whereby computing power underpins the procedure and the operatin...

Development of a non-contrast CT-based radiomics nomogram for early prediction of delayed cerebral ischemia in aneurysmal subarachnoid hemorrhage.

BACKGROUNDS: Delayed cerebral ischemia (DCI) is a significant complication following aneurysmal suba...

A dynamics based procedure for clustering and classifying space debris.

Space debris around the Earth are becoming an increasing threat for space missions. Their number is ...

Development and validation of a hypoxemia prediction model in middle-aged and elderly outpatients undergoing painless gastroscopy.

Hypoxemia is a common complication associated with anesthesia in painless gastroscopy. With the agin...

Multimodal fusion model for prognostic prediction and radiotherapy response assessment in head and neck squamous cell carcinoma.

Accurate prediction of prognosis and postoperative radiotherapy response is critical for personalize...

A physics-informed and data-driven framework for robotic welding in manufacturing.

The development of artificial intelligence (AI)-based industrial data-driven models is the driving f...

AI and machine learning in paediatric spine deformity surgery.

Paediatric spine deformity surgery is a high-stakes procedure. It demands the surgeon to have except...

Artificial intelligence based surgical support for experimental laparoscopic Nissen fundoplication.

BACKGROUND: Computer vision (CV), a subset of artificial intelligence (AI), enables deep learning mo...

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