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

DECIDE-AI: new reporting guidelines to bridge the development-to-implementation gap in clinical artificial intelligence

(2021)   NATURE MEDICINE

Association of Clinician Diagnostic Performance With Machine Learning–Based Decision Support Systems

(2021) Baptiste Vasey et al.   JAMA Network Open

Systematic review of applied usability metrics within usability evaluation methods for hospital electronic healthcare record systems

(2021) Marta Weronika Wronikowska et al.   JOURNAL OF EVALUATION IN CLINICAL PRACTICE

The PRISMA 2020 statement: an updated guideline for reporting systematic reviews

(2021) Matthew J Page et al.   BMJ-British Medical Journal

Clinical integration of machine learning for curative-intent radiation treatment of patients with prostate cancer

(2021) Chris McIntosh et al.   NATURE MEDICINE

The Clinician and Dataset Shift in Artificial Intelligence

(2021) Samuel G. Finlayson et al.   NEW ENGLAND JOURNAL OF MEDICINE

Use of artificial intelligence for image analysis in breast cancer screening programmes: systematic review of test accuracy

(2021) Karoline Freeman et al.   BMJ-British Medical Journal

A new framework for developing and evaluating complex interventions: update of Medical Research Council guidance

(2021) Kathryn Skivington et al.   BMJ-British Medical Journal

Artificial intelligence versus clinicians: systematic review of design, reporting standards, and claims of deep learning studies

(2020) Myura Nagendran et al.   BMJ-British Medical Journal

Machine learning and artificial intelligence research for patient benefit: 20 critical questions on transparency, replicability, ethics, and effectiveness

(2020) Sebastian Vollmer et al.   BMJ-British Medical Journal

Health Economic and Safety Considerations for Artificial Intelligence Applications in Diabetic Retinopathy Screening

(2020) Yuchen Xie et al.   Translational Vision Science & Technology

The IDEAL Reporting Guidelines

(2020) Nicole A. Bilbro et al.   ANNALS OF SURGERY

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

(2020) Viknesh Sounderajah et al.   NATURE MEDICINE

Minimum information about clinical artificial intelligence modeling: the MI-CLAIM checklist

(2020) Beau Norgeot et al.   NATURE MEDICINE

Clinical research underlies ethical integration of healthcare artificial intelligence

(2020) Melissa D. McCradden et al.   NATURE MEDICINE

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

(2020) Xiaoxuan Liu et al.   NATURE MEDICINE

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

(2020) Samantha Cruz Rivera et al.   NATURE MEDICINE

The Importance of Incorporating Human Factors in the Design and Implementation of Artificial Intelligence for Skin Cancer Diagnosis in the Real World

(2020) Claire M. Felmingham et al.   AMERICAN JOURNAL OF CLINICAL DERMATOLOGY

Two different invitation approaches for consecutive rounds of a Delphi survey led to comparable final outcome

(2020) Anne Boel et al.   JOURNAL OF CLINICAL EPIDEMIOLOGY

Reporting of artificial intelligence prediction models

(2019) Gary S Collins et al.   LANCET

The REDCap consortium: Building an international community of software platform partners

(2019) Paul A. Harris et al.   JOURNAL OF BIOMEDICAL INFORMATICS

From What to How: An Initial Review of Publicly Available AI Ethics Tools, Methods and Research to Translate Principles into Practices

(2019) Jessica Morley et al.   SCIENCE AND ENGINEERING ETHICS

No Surgical Innovation Without Evaluation

(2018) Allison Hirst et al.   ANNALS OF SURGERY

The mythos of model interpretability

(2018) Zachary C. Lipton   COMMUNICATIONS OF THE ACM

Regulatory Approval versus Clinical Validation of Artificial Intelligence Diagnostic Tools

(2018) Seong Ho Park   RADIOLOGY

IDEAL-D: a rational framework for evaluating and regulating the use of medical devices

(2016) Art Sedrakyan et al.   BMJ-British Medical Journal

IDEAL-D: a rational framework for evaluating and regulating the use of medical devices

(2016) Art Sedrakyan et al.   BMJ-British Medical Journal

Guidance for Developers of Health Research Reporting Guidelines

(2010) David Moher et al.   PLOS MEDICINE

No surgical innovation without evaluation: the IDEAL recommendations

(2009) Peter McCulloch et al.   LANCET

Research electronic data capture (REDCap)—A metadata-driven methodology and workflow process for providing translational research informatics support

(2008) Paul A. Harris et al.   JOURNAL OF BIOMEDICAL INFORMATICS