Guidelines for Artificial Intelligence in Medicine: Literature Review and Content Analysis of Frameworks

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

(2022) Baptiste Vasey et al.   BMJ-British Medical Journal

Presenting artificial intelligence, deep learning, and machine learning studies to clinicians and healthcare stakeholders: an introductory reference with a guideline and a Clinical AI Research (CAIR) checklist proposal

(2021) Jakub Olczak et al.   Acta Orthopaedica

The need to separate the wheat from the chaff in medical informatics

(2021) Federico Cabitza et al.   INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS

Protocol for development of a reporting guideline (TRIPOD-AI) and risk of bias tool (PROBAST-AI) for diagnostic and prognostic prediction model studies based on artificial intelligence

(2021) Gary S Collins et al.   BMJ Open

Systematic Review of Health Economic Evaluations Focused on Artificial Intelligence in Healthcare: The Tortoise and the Cheetah

(2021) Madelon M. Voets et al.   VALUE IN HEALTH

Shared Decision Making: From Decision Science to Data Science

(2020) Azza Shaoibi et al.   MEDICAL DECISION MAKING

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

Regulatory responses to medical machine learning

(2020) Timo Minssen et al.   Journal of Law and the Biosciences

Reporting and Implementing Interventions Involving Machine Learning and Artificial Intelligence

(2020) David W. Bates et al.   ANNALS OF INTERNAL MEDICINE

MINIMAR (MINimum Information for Medical AI Reporting): Developing reporting standards for artificial intelligence in health care

(2020) Tina Hernandez-Boussard et al.   JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION

Transparency and reproducibility in artificial intelligence

(2020) Benjamin Haibe-Kains et al.   NATURE

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

(2020) Samantha Cruz Rivera et al.   BMJ-British Medical Journal

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

(2020) Xiaoxuan Liu et al.   BMJ-British Medical Journal

Big data and machine learning algorithms for health-care delivery

(2019) Kee Yuan Ngiam et al.   LANCET ONCOLOGY

How to develop machine learning models for healthcare

(2019) Po-Hsuan Cameron Chen et al.   NATURE MATERIALS

One Health Surveillance: A Matrix to Evaluate Multisectoral Collaboration

(2019) Marion Bordier et al.   Frontiers in Veterinary Science

Do no harm: a roadmap for responsible machine learning for health care

(2019) Jenna Wiens et al.   NATURE MEDICINE

Advancing Drug Discovery via Artificial Intelligence

(2019) H.C. Stephen Chan et al.   TRENDS IN PHARMACOLOGICAL SCIENCES

How to Read Articles That Use Machine Learning

(2019) Yun Liu et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Artificial Intelligence in Health Care

(2019) Michael E. Matheny et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Design and implementation of a standardized framework to generate and evaluate patient-level prediction models using observational healthcare data

(2018) Jenna M Reps et al.   JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION

The practical implementation of artificial intelligence technologies in medicine

(2018) Jianxing He et al.   NATURE MEDICINE

What’s holding up the big data revolution in healthcare?

(2018) Kiret Dhindsa et al.   BMJ-British Medical Journal

Artificial intelligence in healthcare

(2018) Kun-Hsing Yu et al.   Nature Biomedical Engineering

Artificial intelligence in medicine

(2017) Pavel Hamet et al.   METABOLISM-CLINICAL AND EXPERIMENTAL

Integrating Predictive Analytics Into High-Value Care

(2016) Ravi B. Parikh et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Guidelines for Developing and Reporting Machine Learning Predictive Models in Biomedical Research: A Multidisciplinary View

(2016) Wei Luo et al.   JOURNAL OF MEDICAL INTERNET RESEARCH

Framework for Evaluating the Impact of Advanced Practice Nursing Roles

(2016) Denise Bryant-Lukosius et al.   JOURNAL OF NURSING SCHOLARSHIP

Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD): Explanation and Elaboration

(2015) Karel G.M. Moons et al.   ANNALS OF INTERNAL MEDICINE

Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD): the TRIPOD Statement

(2015) G. S. Collins et al.   BRITISH JOURNAL OF SURGERY

Patient And Family Engagement: A Framework For Understanding The Elements And Developing Interventions And Policies

(2013) Kristin L. Carman et al.   HEALTH AFFAIRS

New Directions in Artificial Intelligence for Public Health Surveillance

(2012) Daniel B. Neill   IEEE INTELLIGENT SYSTEMS