Alastair K. Denniston

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

2019 · 1.749 Zit. · The Lancet Digital Health

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

2024 · 1.638 Zit. · BMJ

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

2020 · 931 Zit. · Nature Medicine

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

2020 · 554 Zit. · Nature Medicine

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

2020 · 546 Zit. · BMJ

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

2022 · 446 Zit. · Nature Medicine

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

2020 · 398 Zit. · The Lancet Digital Health

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

2020 · 357 Zit. · The Lancet Digital Health

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

2020 · 320 Zit. · BMJ

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

2022 · 320 Zit. · BMJ

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

2019 · 310 Zit. · The Lancet Digital Health

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

2021 · 294 Zit. · BMJ Open

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

2021 · 290 Zit. · The Lancet Digital Health

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

2020 · 251 Zit. · Nature Medicine

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

2023 · 246 Zit. · Nature Medicine