Jump to content

Managing Knowledge

From PedsAnesthesiaNet
Revision as of 12:54, 3 February 2026 by WikiSysop (talk | contribs)

This is a Stub Notice. This page has not been completed. You can work on this page by signing in and going to the Edit tab. Thanks for helping to make PedsAnesthesia.Net Wiki useful.

Go to the Main Page to see the Topic Outline.

Go to the Generalized Suggested Outline for information on case-specific details for each page.

Go to the Test Page for examples on how to use references in the page.


Relevant Article Depot:


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

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

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?

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.