Possibilities and challenges for artificial intelligence and machine learning in perioperative care
British Journal of Anaesthesia Education
Submitted September 2023 by Dr Hamish Johnston
Summary: 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.
