Xiaoxuan Liu

A comparison of deep learning performance against health-care professionals in detecting diseases from medical imaging: a systematic review and meta-analysis

2019 · 1.721 Zit. · The Lancet Digital Health

TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods

2024 · 1.417 Zit. · BMJ

Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI extension

2020 · 882 Zit. · Nature Medicine

Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI extension

2020 · 534 Zit. · Nature Medicine

Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI Extension

2020 · 530 Zit. · BMJ

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

2022 · 427 Zit. · Nature Medicine

Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI extension

2020 · 386 Zit. · The Lancet Digital Health

Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI extension

2020 · 329 Zit. · The Lancet Digital Health

Automated deep learning design for medical image classification by health-care professionals with no coding experience: a feasibility study

2019 · 309 Zit. · The Lancet Digital Health

Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI Extension

2020 · 306 Zit. · BMJ

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

2022 · 293 Zit. · BMJ

Developing a reporting guideline for artificial intelligence-centred diagnostic test accuracy studies: the STARD-AI protocol

2021 · 282 Zit. · BMJ Open

Health data poverty: an assailable barrier to equitable digital health care

2021 · 282 Zit. · The Lancet Digital Health

Developing specific reporting guidelines for diagnostic accuracy studies assessing AI interventions: The STARD-AI Steering Group

2020 · 245 Zit. · Nature Medicine

The value of standards for health datasets in artificial intelligence-based applications

2023 · 235 Zit. · Nature Medicine