Artificial Intelligence, Machine Learning, and Surgical Science: Reality Versus Hype-Reference-Cited by-同舟云学术

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Artificial Intelligence, Machine Learning, and Surgical Science: Reality Versus Hype

Published:2021-08 Issue: Volume:264 Page:A1-A9
ISSN:0022-4804
Container-title:Journal of Surgical Research
language:en
Short-container-title:Journal of Surgical Research

Author:

El Hechi Majed,Ward Thomas M.^ORCID,An Gary C.,Maurer Lydia R.^ORCID,El Moheb Mohamad^ORCID,Tsoulfas Georgios,Kaafarani Haytham M.

Publisher

Elsevier BV

Subject

Surgery

Reference53 articles.

1. Artificial intelligence in surgery: promises and perils;Hashimoto;Ann Surg,2018

2. Trends in the prevalence of intraoperative adverse events at two academic hospitals after implementation of a mandatory reporting system;Wanderer;Anesth Analg,2018

3. The perioperative surgical home: an innovative, patient-centred and cost-effective perioperative care model;Desebbe;Anaesth Crit Care Pain Med,2016

4. Costs associated with modifiable risk factors in ventral and incisional hernia repair;Howard;JAMA Netw Open,2019

5. A risk model and cost analysis of incisional hernia after elective, abdominal surgery based upon 12,373 cases: the case for targeted prophylactic intervention;Fischer;Ann Surg,2016

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2. Can Artificial Intelligence Improve the Appropriate Use and Decrease the Misuse of REBOA?;2024-06-07

3. SPIN-PM: a consensus framework to evaluate the presence of spin in studies on prediction models;Journal of Clinical Epidemiology;2024-06

4. Systematic review finds “spin” practices and poor reporting standards in studies on machine learning-based prediction models;Journal of Clinical Epidemiology;2023-06

5. Artificial intelligence in colorectal surgery: an AI-powered systematic review;Techniques in Coloproctology;2023-02-21

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