Surgery

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

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Varying pixel resolution significantly improves deep learning-based carotid plaque histology segmentation.

Carotid plaques-the buildup of cholesterol, calcium, cellular debris, and fibrous tissues in carotid...

Application of machine learning in predicting postoperative arrhythmia following transcatheter closure of perimembranous ventricular septal defects.

BACKGROUND: Arrhythmia is a frequent complication following transcatheter device closure of perimemb...

Non-Invasive Diagnosis of Moyamoya Disease Using Serum Metabolic Fingerprints and Machine Learning.

Moyamoya disease (MMD) is a progressive cerebrovascular disorder that increases the risk of intracra...

Gripping Success Metric for Robotic Fruit Harvesting.

Recently, computer vision methods have been widely applied to agricultural tasks, such as robotic ha...

Clinical utility of routine postoperative labs in emergency general surgery patients.

BACKGROUND: Morning postoperative labs are often obtained for emergency general surgery (EGS) patien...

Sub-millimeter fiberscopic robot with integrated maneuvering, imaging, and biomedical operation abilities.

Small-scale continuum robots hold promise for interventional diagnosis and treatment, yet existing m...

Application of needle electrodes in resection of single bladder tumor.

BACKGROUND: Transurethral resection of bladder tumor is associated with some limitations when used i...

Assessing the value of deep neural networks for postoperative complication prediction in pancreaticoduodenectomy patients.

INTRODUCTION: Pancreaticoduodenectomy (PD) for patients with pancreatic ductal adenocarcinoma (PDAC)...

Artificial intelligence in pancreaticobiliary endoscopy: Current applications and future directions.

Pancreaticobiliary endoscopy is an essential tool for diagnosing and treating pancreaticobiliary dis...

Implementation of machine learning tool for continued process verification of process chromatography unit operation.

Recent advancements in technology, such as the emergence of artificial intelligence (AI) and machine...

Evaluating AI Capabilities in Bariatric Surgery: A Study on ChatGPT-4 and DALLĀ·E 3's Recognition and Illustration Accuracy.

BACKGROUND: With the rise of artificial intelligence (AI) in medical education, tools like OpenAI's ...

Optimizing adult-oriented artificial intelligence for pediatric chest radiographs by adjusting operating points.

The purpose of this study was to evaluate whether the optimal operating points of adult-oriented art...

Performance metrics outperform physiological indicators in robotic teleoperation workload assessment.

Robotics holds the potential to streamline the execution of repetitive and dangerous tasks, which ar...

Machine learning-based prediction of duodenal stump leakage following laparoscopic gastrectomy for gastric cancer.

BACKGROUND: Duodenal stump leakage is one of the most critical complications following gastrectomy s...

Analyzing the Effect of Surgical and Corneal Parameters on the Postoperative Refractive Outcomes of Smile in Myopic Eyes Based on Machine Learning.

PURPOSE: To analyze the influence of individual parameters on the postoperative refractive outcomes ...

An integrated fuzzy neural network model for surgical approach selection using double hierarchy linguistic information.

The selection of the most effective surgical approach is a critical decision in major surgery. With ...

Development of a Self-Deploying Extra-Aortic Compression Device for Medium-Term Hemodynamic Stabilization: A Feasibility Study.

Hemodynamic stabilization is crucial in managing acute cardiac events, where compromised blood flow ...

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