Managing Knowledge

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Relevant Article Depot:

Large language models in anaesthesiology: use of ChatGPT for American Society of Anesthesiologists physical status classification

Artificial Intelligence in Pediatric Anesthesia: 3 Experts Weigh In

Prediction of American Society of Anesthesiologists Physical Status Classification from preoperative clinical text narratives using natural language processing

ChatGPT: the future of discharge summaries?

Generation of preoperative anaesthetic plans by ChatGPT-4.0: a mixed-method study

The Future of Artificial Intelligence Using Images and Clinical Assessment for Difficult Airway Management

OpenEvidence

Bauer MS, Kirchner J. Implementation science: What is it and why should I care? Psychiatry Res. Jan 2020;283:112376. doi:10.1016/j.psychres.2019.04.025

A clinical decision support tool for acute pain within an electronic health record to improve analgesic prescribing practice

Strengthening Discovery and Application of Artificial Intelligence in Anesthesiology: A Report from the Anesthesia Research Council

An Exploratory Analysis of ChatGPT Compared to Human Performance With the Anesthesiology Oral Board Examination: Initial Insights and Implications

Leveraging Large Language Models to Enhance Emotional Intelligence Training in Anesthesiology

Recommendations for disclosure of artificial intelligence in scientific writing and publishing: a regional anesthesia and pain medicine modified Delphi study

Guidance for reporting artificial intelligence technology evaluations for ultrasound scanning in regional anaesthesia (GRAITE-USRA): an international multidisciplinary consensus reporting framework

Real-world deployment and evaluation of PEri-operative AI CHatbot (PEACH): a large language model chatbot for peri-operative medicine

The Potential Impacts of Artificial Intelligence on Preoperative Optimization and Predicting Risks of Morbidity and Mortality: A Narrative Focused Review

Scientific production in the era of large language models

New Guidance on Responsible Use of AI

The New Yorker: Did a Celebrated Researcher Obscure a Baby’s Poisoning?

How to Understand a Research Study

Machine learning models in anaesthesiology: bridging the gap from model training to implementation

Blakeslee, Sarah (2004) "The CRAAP Test," LOEX Quarterly: Vol. 31: No. 3, Article 4. Available at: https://commons.emich.edu/loexquarterly/vol31/iss3/4

Academic/Research Fraud

Marcus A, Oransky I: An epidemic of scientific fakery threatens to overwhelm publishers. In: An epidemic of scientific fakery threatens to overwhelm publishers. The Washington Post; 2024.

2. Taub B: A reporter at large: Did a Celebrated Researcher Obscure a Baby’s Poisoning? After a newborn died of opioid poisoning, a new branch of pediatrics came into being. But the evidence doesn’t add up. In: The New Yorker Magazine. 2026: 28–39.

3. Ciszkowski C, Madadi P, Phillips MS, Lauwers AE, Koren G: Codeine, ultrarapid-metabolism genotype, and postoperative death. The New England journal of medicine 2009, 361(8):827–828.

4. Lam J, Woodall KL, Solbeck P, Ross CJ, Carleton BC, Hayden MR, Koren G, Madadi P: Codeine-related deaths: The role of pharmacogenetics and drug interactions. Forensic science international 2014, 239:50–56.

5. Madadi P, Avard D, Koren G: Pharmacogenetics of opioids for the treatment of acute maternal pain during pregnancy and lactation. Curr Drug Metab 2012, 13(6):721–727.

6. Smith R: Investigating the previous studies of a fraudulent author. BMJ (Clinical research ed) 2005, 331(7511):288–291.

7. Polaner DM, Shafer SL: Falling Dominoes. Anesthesia and analgesia 2019, 128(4):613–614.

Scientists invented a fake disease. AI told people it was real

The Paradox of Knowledge: Why Medical Students Know More But Understand Less

Updated Guidance for Author Use of AI in Medical Publication

Augoustides J Artificial Intelligence in Academic Publishing: Important Dynamic Considerations For Authors, Reviewers, Editors, and Publishers Journal of Cardiothoracic and Vascular Anesthesia, 2026; 40, 2643-2645