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Clinical Evaluation of AI in Medicine by Xiaoxuan Liu; Gagandeep Sachdeva; Hussein Ibrahim; Maria Charalambides; Alastair K. Denniston is a book available to read on EtoBox.

What is Clinical Evaluation of AI in Medicine about?

Clinical evaluation provides the necessary evidence that healthcare interventions are safe, effective, and likely to bring benefit to patients and healthcare system. While a large volume of evidence for in silico performance of AI systems has been published in recent years, prospective clinical trials are only just beginning to emerge. This chapter presents a summary of prospective randomized trials published in AI health interventions to date and discusses new AI-specific reporting standards for clinical evaluations. ## Clinical AI Systems Require Robust Clinical Evaluation The number of publications involving AI methods in biology has grown exponentially in recent years, with over 21,000 papers published in 2020 alone [1], and the global AIM market has grown from $600 million in 2014 to $6.6 billion in 2021 [2]. A 2021 study reports 222 AI/ML-based devices approved by regulatory authorities in the USA and 240 devices in Europe to date [3]. Despite this, the widespread routine use of AI/ ML-based medical devices is patchy, and concerns over their true clinical effectiveness remain. One obstacle preventing innovative AI technologies from being routinely implemented in clinical prac

Author

Xiaoxuan Liu; Gagandeep Sachdeva; Hussein Ibrahim; Maria Charalambides; Alastair K. Denniston

Publisher

Springer

Published

2022

Language

EN