AI Medical Compendium Journal:
The American surgeon

Showing 1 to 10 of 55 articles

Can American Board of Surgery in Training Examinations be passed by Large Language Models? Comparative assessment of Gemini, Copilot, and ChatGPT.

The American surgeon
ObjectiveThis study aimed to evaluate the performance of large language models (LLMs) in answering questions from the American Board of Surgery In-Training Examination (ABSITE).MethodsMultiple choice ABSITE Quiz was entered into the most popular LLMs...

Artificial Intelligence Performs Well for Patient-Level Education of Benign Anorectal Conditions.

The American surgeon
BackgroundChatGPT, the most widely recognized AI chatbot, has been increasingly utilized by patients for health care education, but its performance and knowledge base have not been evaluated for colorectal surgery topics. We hypothesize ChatGPT can p...

Impact of AI on Access to Care a Three-Pronged Approach for Enhancing Access to Surgical Care: Lessons From Electrical Safety and the Impact of AI on Health Equity.

The American surgeon
As we enter the 21st century, a new wave of transformation is occurring in health care, mainly through artificial intelligence (AI). Like electricity, AI is a powerful tool that can either harm or heal, depending on how it is managed. In 2015, the Un...

Decoding the NCCN Guidelines With AI: A Comparative Evaluation of ChatGPT-4.0 and Llama 2 in the Management of Thyroid Carcinoma.

The American surgeon
INTRODUCTION: Artificial Intelligence (AI) has emerged as a promising tool in the delivery of health care. ChatGPT-4.0 (OpenAI, San Francisco, California) and Llama 2 (Meta, Menlo Park, CA) have each gained attention for their use in various medical ...

Machine Learning Differentiates Extracorporeal Membrane Oxygenation Mortality Risk Profiles Among Trauma Patients.

The American surgeon
BACKGROUND: Extracorporeal membrane oxygenation (ECMO) is resource intensive with high mortality. Identifying trauma patients most likely to derive a survival benefit remains elusive despite current ECMO guidelines. Our objective was to identify uniq...

Prediction of 30-Day Morbidity and Mortality After Conversion of Sleeve Gastrectomy to Roux-en-Y Gastric Bypass: Use of an Artificial Neural Network.

The American surgeon
BACKGROUND: Conversion of sleeve gastrectomy to Roux-en-Y gastric bypass is indicated primarily for unsatisfactory weight loss or gastroesophageal reflux disease (GERD). This study aimed to use a comprehensive database to define predictors of 30-day ...

The Role of Artificial Intelligence in Surgery: What do General Surgery Residents Think?

The American surgeon
BACKGROUND: Artificial intelligence (AI) holds significant potential in medical education and patient care, but its rapid emergence presents ethical and practical challenges. This study explored the perspectives of surgical residents on AI's role in ...

A Real-Time Automated Machine Learning Algorithm for Predicting Mortality in Trauma Patients: Survey Says it's Ready for Prime-Time.

The American surgeon
BACKGROUND: Though artificial intelligence ("AI") has been increasingly applied to patient care, many of these predictive models are retrospective and not readily available for real-time decision-making. This survey-based study aims to evaluate imple...

Anaphylactic Shock to Intravenous Indocyanine Green During a Robotic Right Colectomy.

The American surgeon
Intravenous indocyanine green (IV ICG) is regarded as a safe immunofluorescence agent used to assess bowel perfusion prior to creating bowel anastomoses and aids in ureter identification during intra-abdominal surgery. We report the first instance of...