Report for: The role of patient-reported outcome measures in trials of artificial intelligence health technologies: a systematic evaluation of ClinicalTrials.gov records (1997–2022)

Title	The role of patient-reported outcome measures in trials of artificial intelligence health technologies: a systematic evaluation of ClinicalTrials.gov records (1997–2022)
Published in	The Lancet Digital Health, March 2023
DOI	10.1016/s2589-7500(22)00249-7
Pubmed ID	36828608
Authors	Finlay J Pearce, Samantha Cruz Rivera, Xiaoxuan Liu, Elaine Manna, Alastair K Denniston, Melanie J Calvert

X Demographics

The data shown below were collected from the profiles of 49 X users who shared this research output. Click here to find out more about how the information was compiled.

Type	Count	As %
Members of the public	29	59%
Scientists	11	22%
Practitioners (doctors, other healthcare professionals)	7	14%
Science communicators (journalists, bloggers, editors)	2	4%

Mendeley readers

The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Country	Count	As %
Unknown	57	100%

Readers by professional status	Count	As %
Researcher	5	9%
Student > Ph. D. Student	5	9%
Other	3	5%
Student > Master	2	4%
Lecturer	1	2%
Other	4	7%
Unknown	37	65%

Readers by discipline	Count	As %
Computer Science	6	11%
Medicine and Dentistry	5	9%
Business, Management and Accounting	3	5%
Unspecified	1	2%
Pharmacology, Toxicology and Pharmaceutical Science	1	2%
Other	2	4%
Unknown	39	68%

The role of patient-reported outcome measures in trials of artificial intelligence health technologies: a systematic evaluation of ClinicalTrials.gov records (1997–2022)