Journal article icon

Journal article

Reporting guideline for the early stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI

Abstract:

A growing number of artificial intelligence (AI)-based clinical decision support systems are showing promising performance in preclinical, in silico, evaluation, but few have yet demonstrated real benefit to patient care. Early stage clinical evaluation is important to assess an AI system’s actual clinical performance at small scale, ensure its safety, evaluate the human factors surrounding its use, and pave the way to further large scale trials. However, the reporting of these early studies ...

Expand abstract
Publication status:
Published
Peer review status:
Peer reviewed

Actions


Access Document


Files:
Publisher copy:
10.1136/bmj-2022-070904

Authors


More by this author
Role:
Author
ORCID:
0000-0002-0017-8891
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Oxford college:
Balliol College
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
NDORMS
Sub department:
Botnar Research Centre
Role:
Author
ORCID:
0000-0002-2772-2316
Expand authors...

Contributors

Role:
Contributor
Publisher:
BMJ Publishing Group Publisher's website
Journal:
BMJ Journal website
Volume:
377
Article number:
e070904
Publication date:
2022-05-18
Acceptance date:
2022-04-26
DOI:
EISSN:
0959-8138
ISSN:
1759-2151
Pmid:
35584845
Language:
English
Keywords:
Pubs id:
1260771
Local pid:
pubs:1260771
Deposit date:
2022-07-20

Terms of use


Views and Downloads






If you are the owner of this record, you can report an update to it here: Report update to this record

TO TOP