Surgery

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

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Ethics of biohybrid robotics and invertebrate research: biohybrid robotic jellyfish as a case study.

Invertebrate research ethics has largely been ignored compared to the consideration of higher order ...

Optimization of shunting operation plan in large freight train depot based on DQN algorithm.

Shunting operation plan is the main daily work of the freight train depot, the optimization of shunt...

Predicting postoperative complications after pneumonectomy using machine learning: a 10-year study.

BACKGROUND: Reducing postoperative cardiovascular and neurological complications (PCNC) during thora...

An oral robotic pill reliably and safely delivers teriparatide with high bioavailability in healthy volunteers: A phase 1 study.

AIMS: The incidence of osteoporosis is projected to exceed 70 million people over the age of 65 year...

Shaping the Future of Cardiac Anesthesia: Emerging Trends and Research Directions.

This article provides an overview of knowledge gaps that need to be addressed in perioperative cardi...

Using Large Language Models to Automate Data Extraction From Surgical Pathology Reports: Retrospective Cohort Study.

BACKGROUND: Popularized by ChatGPT, large language models (LLMs) are poised to transform the scalabi...

The performance of ChatGPT and ERNIE Bot in surgical resident examinations.

STUDY PURPOSE: To assess the application of these two large language models (LLMs) for surgical resi...

Coronary p-Graph: Automatic classification and localization of coronary artery stenosis from Cardiac CTA using DSA-based annotations.

Coronary artery disease (CAD) is a prevalent cardiovascular condition with profound health implicati...

Randomized Trial on Electroacupuncture for Recovery of Postoperative Gastrointestinal Function Based on Long-Term Monitoring Device.

BACKGROUND: This research aimed to explore the efficacy and safety of electroacupuncture in promotin...

The Emergence of AI in Public Health Is Calling for Operational Ethics to Foster Responsible Uses.

This paper discusses the responsible use of artificial intelligence (AI) in public health and in med...

Method of Forearm Muscles 3D Modeling Using Robotic Ultrasound Scanning.

The accurate assessment of muscle morphology and function is crucial for medical diagnostics, rehabi...

[Artificial intelligence in advanced surgical training : An overview].

The integration of artificial intelligence (AI) into medical education and advanced training is gain...

Redefining Value in Orthopedic Surgery.

Value-based health care is a commonly used term that merits a strong understanding from the orthoped...

Predicting high-risk factors for postoperative inadequate analgesia and adverse reactions in cesarean delivery surgery: a prospective study.

BACKGROUND: Early identification of high-risk factors for inadequate analgesia and adverse reactions...

Multimodal imaging platform for enhanced tumor resection in neurosurgery: integrating hyperspectral and pCLE technologies.

PURPOSE: This work presents a novel multimodal imaging platform that integrates hyperspectral imagin...

Machine learning models to predict osteoporosis in patients with chronic kidney disease stage 3-5 and end-stage kidney disease.

Chronic kidney disease-mineral bone disorder is a common complication in patients with chronic kidne...

The Year in Perioperative Echocardiography: Selected Highlights from 2024.

This article is the ninth of an annual series reviewing the research highlights of the year pertaini...

Solving Complex Pediatric Surgical Case Studies: A Comparative Analysis of Copilot, ChatGPT-4, and Experienced Pediatric Surgeons' Performance.

The emergence of large language models (LLMs) has led to notable advancements across multiple sector...

The future outlook for data in orthopedic surgery: A new era of real-time innovation.

The orthopedic field is on the brink of a significant transformation-a shift from retrospective anal...

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