Clinical Evaluation of AI in Medicine

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

doi:10.1007/978-3-030-64573-1_310

Clinical Evaluation of AI in Medicine

Xiaoxuan Liu^*
, Gagandeep Sachdeva
, Hussein Ibrahim
, Maria Charalambides
, Alastair K. Denniston

^*Corresponding author for this work

Applied Health Sciences

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Abstract

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.

Original language	English
Title of host publication	Artificial Intelligence in Medicine
Editors	Niklas Lidströmer, Hutan Ashrafian
Publisher	Springer International Publishing Cham
Pages	645-660
Number of pages	16
ISBN (Electronic)	9783030645731
ISBN (Print)	9783030645724
DOIs	https://doi.org/10.1007/978-3-030-64573-1_310
Publication status	Published - 18 Feb 2022

Bibliographical note

Publisher Copyright:
© Springer Nature Switzerland AG 2022.

ASJC Scopus subject areas

General Medicine
General Biochemistry,Genetics and Molecular Biology

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10.1007/978-3-030-64573-1_310Licence: None: All rights reserved

Cite this

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Clinical Evaluation of AI in Medicine

Abstract

Bibliographical note

ASJC Scopus subject areas

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