Surgery

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

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The Role of AI in Modern Hernia Surgery: A Review and Practical Insights.

BackgroundArtificial intelligence (AI) is revolutionizing various aspects of health care, particular...

Improving readability of shoulder and elbow surgery online patient education material with Chat GPT (Chat Generative Pretrained Transformer) 4.

BACKGROUND: Health literacy is crucial for effective doctor-patient communication, particularly for ...

Development and validation comparison of multiple models for perioperative neurocognitive disorders during hip arthroplasty.

This study aims to develop optimal predictive models for perioperative neurocognitive disorders (PND...

Denoised recurrence label-based deep learning for prediction of postoperative recurrence risk and sorafenib response in HCC.

BACKGROUND: Pathological images of hepatocellular carcinoma (HCC) contain abundant tumor information...

International expert consensus on the current status and future prospects of artificial intelligence in metabolic and bariatric surgery.

Artificial intelligence (AI) is transforming the landscape of medicine, including surgical science a...

Machine learning predicts spinal cord stimulation surgery outcomes and reveals novel neural markers for chronic pain.

Spinal cord stimulation (SCS) is a well-accepted therapy for refractory chronic pain. However, predi...

Design and application of ISSA-BP neural network model for predicting soft tissue relaxation force.

: Accurate biomechanical modeling is crucial for enhancing the realism of virtual surgical training....

Development of a Disease Model for Predicting Postoperative Delirium Using Combined Blood Biomarkers.

OBJECTIVE: Postoperative delirium, a common neurocognitive complication after surgery and anesthesia...

Deep Learning for High Speed Optical Coherence Elastography With a Fiber Scanning Endoscope.

Tissue stiffness is related to soft tissue pathologies and can be assessed through palpation or via ...

UC-NeRF: Uncertainty-Aware Conditional Neural Radiance Fields From Endoscopic Sparse Views.

Visualizing surgical scenes is crucial for revealing internal anatomical structures during minimally...

Predicting orthognathic surgery results as postoperative lateral cephalograms using graph neural networks and diffusion models.

Orthognathic surgery, or corrective jaw surgery, is performed to correct severe dentofacial deformit...

Comprehensive overview of artificial intelligence in surgery: a systematic review and perspectives.

The rapid integration of artificial intelligence (AI) into surgical practice necessitates a comprehe...

Multi-agent large language model frameworks: Unlocking new possibilities for optimizing wastewater treatment operation.

Wastewater treatment plants (WWTPs) are highly complex systems where biological, chemical, and physi...

CatSkill: Artificial Intelligence-Based Metrics for the Assessment of Surgical Skill Level from Intraoperative Cataract Surgery Video Recordings.

PURPOSE: To develop and validate a novel artificial intelligence (AI)-powered video analysis system ...

Operational safety risk modeling in a naval organization.

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

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