Guidelines

2024_06

Artificial Intelligence in the Provision of Health Care: An American College of Physicians Policy Position Paper

Daneshvar et al.

https://pubmed.ncbi.nlm.nih.gov/38830215/

Highlights

This American College of Physicians (ACP) position paper describes the College's foundational positions and recommendations regarding the use of AI- and ML-enabled tools and systems in the provision of health care. The recomendations are derived from considerations for the clinical safety and effectiveness of the tools as well as their potential consequences regarding health disparities. The College calls for more research on the clinical and ethical implications of these technologies and their effects on patient health and well-being.

2023_06

Assessment of RadiomIcS rEsearch (ARISE): a brief guide for authors, reviewers, and readers from the Scientific Editorial Board of European Radiology

Kocak et al.

https://pubmed.ncbi.nlm.nih.gov/37358612/

Highlights

In order to improve the quality of radiomics publications, the European Radiology editorial board members in the Imaging Informatics and Artificial Intelligence section propose 13 consensus recommendations for future radiomics submissions, which relate to design, data, radiomics methodology, metrics, and reporting of research  

2020_03

Assessing Radiology Research on Artificial Intelligence: A Brief Guide for Authors, Reviewers, and Readers-From the Radiology Editorial Board

Bluemke et al.

https://pubmed.ncbi.nlm.nih.gov/31891322/

Highlights

The Radiology editorial board has developed a list of nine key considerations that help us evaluate AI research (Table). The goal of these considerations is to improve the soundness and applicability of AI research in diagnostic imaging.