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Peer-Reviewed Publication
J Imaging Inform Med2026;39(2):1041-1051.April 1, 2026Journal Article

Best Practices and Checklist for Reviewing Artificial Intelligence-Based Medical Imaging Papers: Classification.

Timothy L Kline1, Felipe Kitamura2,3, Daniel Warren4, Ian Pan5, Amine M Korchi5,6, Neil Tenenholtz7, Linda Moy8, Judy Wawira Gichoya9, Igor Santos10, Kamyar Moradi11, Atlas Haddadi Avval12, Dana Alkhulaifat13, Steven L Blumer14, Misha Ysabel Hwang15, Kim-Ann Git16, Abishek Shroff17, Joseph Stember18, Elad Walach19, George Shih20, Steve G Langer21
1Department of Radiology, Mayo Clinic, Rochester, MN, USA. kline.timothy@mayo.edu.
2Bunkerhill Health, Palo Alto, CA, USA.
3Universidade Federal de São Paulo, São Paulo, Brazil.
4Carle College of Medicine University of Illinois Urbana-Champaign, Urbana, IL, USA.
5Imaging Center Onex, Groupe 3R, Geneva, Switzerland.
6Singularity Consulting, Geneva, Switzerland.
7Microsoft Research, Cambridge, MA, USA.
8Department of Radiology, NYU School of Medicine, New York, NY, USA.
9Department of Radiology, Emory University School of Medicine, Atlanta, GA, USA.
10Ionic Health, Porto, Portugal.
11Johns Hopkins University, Baltimore, MD, USA.
12Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA, USA.
13Children's Hospital of Philadelphia, Philadelphia, PA, USA.
14UPMC Children's Hospital, Pittsburgh, PA, USA.
15De La Salle University, Manila, Luzon, Philippines.
16Hospital Selayang, Batu Caves, Selangor, Malaysia.
17GE Healthcare, JFWTC, Bangalore, Karnataka, India.
18Department of Radiology, Neuroradiology Division Memorial Sloan Kettering Cancer Center, New York, NY, USA.
19, Aidoc, Tel Aviv, Israel.
20Department of Radiology, Weill Medical College of Cornell University, New York, NY, USA.
21Department of Radiology, Mayo Clinic, Rochester, MN, USA.
PubMed PMC DOI PDF

Abstract

Recent advances in Artificial Intelligence (AI) methodologies and their application to medical imaging has led to an explosion of related research programs utilizing AI to produce state-of-the-art classification performance. Ideally, research culminates in dissemination of the findings in peer-reviewed journals. To date, acceptance or rejection criteria are often subjective; however, reproducible…

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Data Accuracy Notice: Research intelligence on Health AI Central is aggregated from public sources (PubMed, ClinicalTrials.gov, FDA, NIH, CMS, and others) and refreshed nightly. Classifications and derived metrics are produced by automated methods described in our Methodology. We recommend verifying critical data points against the primary sources before making decisions.