Surgery

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

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Operational safety risk modeling in a naval organization.

INTRODUCTION: Following numerous mishaps and near-misses, the U.S. Naval Surface Force established t...

A multi model deep net with an explainable AI based framework for diabetic retinopathy segmentation and classification.

Diabetic Retinopathy (DR) is a serious condition affecting diabetes people caused by hemorrhage in t...

A novel flexible near-infrared endoscopic device that enables real-time artificial intelligence fluorescence tissue characterization.

Real-time endoscopic rectal lesion characterization employing artificial intelligence (AI) and near-...

A brief history and clinical use of robotic procedures in the cardiovascular system.

Robotic-assisted percutaneous coronary intervention (r-PCI) exemplifies the advancement of intervent...

Design of a Soft Robotic Artificial Cardiac Wall.

BACKGROUND: In cardiovascular engineering, the recent introduction of soft robotic technologies shed...

Ensemble-Based Model-Agnostic Meta-Learning with Operational Grouping for Intelligent Sensory Systems.

Model-agnostic meta-learning (MAML), coupled with digital twins, is transformative for predictive ma...

Development and validation of machine learning models for predicting extubation failure in patients undergoing cardiac surgery: a retrospective study.

Patients with multiple comorbidities and those undergoing complex cardiac surgery may experience ext...

Use and Usefulness of Risk Prediction Tools in Urologic Surgery: Current State and Path Forward.

INTRODUCTION: Although the enthusiasm for artificial intelligence (AI) to enhance surgical decision-...

Metal Suppression Magnetic Resonance Imaging Techniques in Orthopaedic and Spine Surgery.

Implantation of metallic instrumentation is the mainstay of a variety of orthopaedic and spine surge...

The Role of Claude 3.5 Sonet and ChatGPT-4 in Posterior Cervical Fusion Patient Guidance.

BACKGROUND: This study evaluates the role of ChatGPT-4 and Claude 3.5 Sonet in postoperative managem...

Early warning strategies for corporate operational risk: A study by an improved random forest algorithm using FCM clustering.

To enhance the accuracy and response speed of the risk early warning system, this study develops a n...

Comparing neural language models for medical concept representation and patient trajectory prediction.

Effective representation of medical concepts is crucial for secondary analyses of electronic health ...

Predicting pregnancy at the first year following metabolic-bariatric surgery: development and validation of machine learning models.

BACKGROUND: Metabolic-bariatric surgery (MBS) is the last effective way to lose weight whom around h...

Development of a deep learning-based model for guiding a dissection during robotic breast surgery.

BACKGROUND: Traditional surgical education is based on observation and assistance in surgical practi...

Soft robotic hand with tactile palm-finger coordination.

Soft robotic hands with integrated sensing capabilities hold great potential for interactive operati...

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