A review of a journal article created by a Journal Watch contributor

Possibilities and challenges for artificial intelligence and machine learning in perioperative care

British Journal of Anaesthesia Education

Submitted September 2023 by Dr Hamish Johnston

Read by 144 Journal Watch subscribers

There is growing interest for artificial intelligence (AI) in medicine to assist in repetitive tasks, diagnosis, prediction, drug discovery, personalised treatment, and decision support. This article provides an overview of the same and introduces the reader to methods of assessing validity and clinical applicability of AI systems. Current challenges and pitfalls when AI is integrated into medicine is then discussed.

Take home messages/commentary:
AI applications relevant to anaesthesia that are currently under development include risk prediction modelling, estimating surgical time, risk of surgery cancellation, ultrasound image acquisition and predicting intraoperative hypotension. Clinical implementation of AI systems is scarce.

Tags for this article:


Journal Watch is a community of SPANZA members who work to identify and review articles of interest in the paediatric anaesthesia literature.

Subscribe for email updates, or create an account to get involved.