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Xiaoxuan Liu · Study
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Author
Xiaoxuan Liu
21 works
· latest 2025
· 2 institutions
cluster: provisional
ORCID 0000-0002-1286-0038
Works
21 shown
The STARD-AI reporting guideline for diagnostic accuracy studies using artificial intelligence
Nature Medicine
·
2025
·
43 authors
·
Open access
389
citations
A scoping review and evidence gap analysis of clinical AI fairness
npj Digital Medicine
·
2025
·
19 authors
·
Open access
62
citations
PROBAST+AI: an updated quality, risk of bias, and applicability assessment tool for prediction models using regression or artificial intelligence methods
BMJ
·
2025
·
27 authors
·
Open access
1,019
citations
Tackling algorithmic bias and promoting transparency in health datasets: the STANDING Together consensus recommendations
The Lancet Digital Health
·
2024
·
46 authors
·
Open access
178
citations
TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods
BMJ
·
2024
·
32 authors
·
Open access
4,531
citations
Concordance of randomised controlled trials for artificial intelligence interventions with the CONSORT-AI reporting guidelines
Nature Communications
·
2024
·
21 authors
·
review
·
Open access
55
citations
Why We Support and Encourage the Use of Large Language Models in NEJM AI Submissions
NEJM AI
·
2023
·
12 authors
·
editorial
·
Open access
57
citations
PRISMA AI reporting guidelines for systematic reviews and meta-analyses on AI in healthcare
Nature Medicine
·
2023
·
24 authors
·
review
·
Open access
136
citations
Tackling bias in AI health datasets through the STANDING Together initiative
Nature Medicine
·
2022
·
27 authors
·
Open access
82
citations
A quality assessment tool for artificial intelligence-centered diagnostic test accuracy studies: QUADAS-AI
Nature Medicine
·
2021
·
38 authors
·
Open access
265
citations
Developing a reporting guideline for artificial intelligence-centred diagnostic test accuracy studies: the STARD-AI protocol
BMJ Open
·
2021
·
30 authors
·
Open access
331
citations
Reporting guidelines for artificial intelligence in healthcare research
Clinical and Experimental Ophthalmology
·
2021
·
3 authors
·
review
·
Open access
63
citations
Reporting guidelines for clinical trials of artificial intelligence interventions: the SPIRIT-AI and CONSORT-AI guidelines
Trials
·
2021
·
8 authors
·
Open access
188
citations
Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI Extension
BMJ
·
2020
·
5 authors
·
Open access
695
citations
Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI extension
The Lancet Digital Health
·
2020
·
37 authors
·
review
·
Open access
552
citations
Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI extension
The Lancet Digital Health
·
2020
·
38 authors
·
review
·
Open access
483
citations
Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI Extension
BMJ
·
2020
·
5 authors
·
Open access
460
citations
Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI extension
Nature Medicine
·
2020
·
37 authors
·
review
·
Open access
1,396
citations
Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI extension
Nature Medicine
·
2020
·
38 authors
·
review
·
Open access
785
citations
Developing specific reporting guidelines for diagnostic accuracy studies assessing AI interventions: The STARD-AI Steering Group
Nature Medicine
·
2020
·
17 authors
·
Open access
270
citations
Extension of the CONSORT and SPIRIT statements
The Lancet
·
2019
·
4 authors
·
Open access
65
citations