ReviewBJR artificial intelligence2024
Artificial intelligence in medicine: mitigating risks and maximizing benefits via quality assurance, quality control, and acceptance testing.
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In one paragraph
Review in BJR artificial intelligence, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 2 of them syntheses that pooled it.
0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 2 pooled it
3.8field-weighted citation impact, top 6% of its field
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
23 citing papers in PubMed, 2 syntheses or guidelines pooled it, 32 citations in OpenAlex.
- Artificial Intelligence in the Management of Malnutrition in Cancer Patients: A Systematic Review.Advances in nutrition (Bethesda, Md.) · 2025Pooled it
- AI for IMPACTS Framework for Evaluating the Long-Term Real-World Impacts of AI-Powered Clinician Tools: Systematic Review and Narrative Synthesis.Journal of medical Internet research · 2025Pooled it
- Evaluation of a Retrieval-Augmented Generation-Powered Chatbot for Pre-CT Informed Consent: a Prospective Comparative Study.Journal of imaging informatics in medicine · 2025Trial
- Artificial Intelligence in Particle Therapy Treatment Planning: Current Advances and Future Directions.International journal of particle therapy · 2026Article
- Anticipating Moral and Economic Considerations, Opportunities, and Potential Frictions for AI in Medical Imaging: Multistakeholder Cocreation Study.Journal of medical Internet research · 2026Article
- How Do Radiologists Currently Monitor AI in Radiology and What Challenges Do They Face? An Interview Study and Qualitative Analysis.Journal of imaging informatics in medicine · 2026Article
- Mapping teachers' awareness of artificial intelligence in the changing education paradigm: insights from a mixed methods inquiry.Frontiers in psychology · 2026Article
- Federated artificial intelligence monitoring service (FAMOS): an in silico feasibility study.BJR artificial intelligence · 2026Article
- Radiology artificial intelligence for prioritized imaging and diagnosis of lung cancer: qualitative interview analysis of stakeholder perspectives in Northern Ireland.Frontiers in medicine · 2026Article
- Multimodal artificial intelligence in glioma management: integrating neuroimaging and hematologic biomarkers for precision oncology.Frontiers in oncology · 2026Review
- From de-skilling to up-skilling: How artificial intelligence will augment the modern physician.Journal of experimental orthopaedics · 2026Review
- Challenges and Solutions in Applying Large Language Models to Guideline-Based Management Planning and Automated Medical Coding in Health Care: Algorithm Development and Validation.JMIR biomedical engineering · 2025Article
- Quantitative image quality metrics enable resource-efficient quality control of clinically applied AI-based reconstructions in MRI.Magma (New York, N.Y.) · 2025Article
- A deployment safety case for AI-assisted prostate cancer diagnosis.Computers in biology and medicine · 2025Article
- Advances in personalized medicine: translating genomic insights into targeted therapies for cancer treatment.Annals of translational medicine · 2025Review
- The artificial intelligence revolution in gastric cancer management: clinical applications.Cancer cell international · 2025Review
- Bridging the gap: Phage manufacturing processes from laboratory to agri-food industry.Virus research · 2025Review
- Artificial intelligence-powered personalized patient dosimetry in CT.BJR artificial intelligence · 2025Review
- The Evolution of Artificial Intelligence in Medical Imaging: From Computer Science to Machine and Deep Learning.Cancers · 2024Review
- Commentary: Technological innovations for improved prevention and diagnosis of oral disease.Frontiers in oral health · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
25 authors at 17 institutions in 5 countries.
Usman MahmoodDepartment of Medical Physics, Memorial Sloan-Kettering Cancer Center, New York, NY, 10065, United States.ORCID https://orcid.org/0000-0002-5170-5794
Amita Shukla-DaveDepartment of Medical Physics, Memorial Sloan-Kettering Cancer Center, New York, NY, 10065, United States.
Heang-Ping ChanDepartment of Radiology, University of Michigan, Ann Arbor, MI, 48109, United States.ORCID https://orcid.org/0000-0001-7777-9006
Karen DrukkerDepartment of Radiology, University of Chicago, Chicago, IL, 60637, United States.ORCID https://orcid.org/0000-0001-6544-3476
Ravi K SamalaOffice of Science and Engineering Laboratories, Center for Devices and Radiological Health, U.S. Food and Drug Administration, Silver Spring, MD, 20993, United States.ORCID https://orcid.org/0000-0002-6661-4801
Quan ChenDepartment of Radiation Oncology, Mayo Clinic Arizona, Phoenix, AZ, 85054, United States.
Daniel VergaraDepartment of Radiology, University of Washington, Seattle, WA, 98195, United States.ORCID https://orcid.org/0000-0003-0809-8308
Hayit GreenspanBiomedical Engineering and Imaging Institute, Department of Radiology, Icahn School of Medicine at Mt Sinai, New York, NY, 10029, United States.
Nicholas PetrickOffice of Science and Engineering Laboratories, Center for Devices and Radiological Health, U.S. Food and Drug Administration, Silver Spring, MD, 20993, United States.ORCID https://orcid.org/0000-0001-5167-8899
Berkman SahinerOffice of Science and Engineering Laboratories, Center for Devices and Radiological Health, U.S. Food and Drug Administration, Silver Spring, MD, 20993, United States.
Zhimin HuoTencent America, Palo Alto, CA, 94306, United States.
Ronald M SummersRadiology and Imaging Sciences, National Institutes of Health Clinical Center, Bethesda, MD, 20892, United States.ORCID https://orcid.org/0000-0001-8081-7376
Kenny H ChaOffice of Science and Engineering Laboratories, Center for Devices and Radiological Health, U.S. Food and Drug Administration, Silver Spring, MD, 20993, United States.
Georgia TourassiComputing and Computational Sciences Directorate, Oak Ridge National Laboratory, Oak Ridge, TN, 37830, United States.
Thomas M DesernoPeter L. Reichertz Institute for Medical Informatics, TU Braunschweig and Hannover Medical School, Braunschweig, Niedersachsen, 38106, Germany.ORCID https://orcid.org/0000-0003-3492-4407
Kevin T GrizzardDepartment of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, CT, 06510, United States.
Janne J Näppi3D Imaging Research, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, 02114, United States.
Hiroyuki Yoshida3D Imaging Research, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, 02114, United States.
Daniele ReggeRadiology Unit, Candiolo Cancer Institute, FPO-IRCCS, Candiolo, 10060, Italy.
Richard MazurchukDivision of Cancer Prevention, National Cancer Institute, National Institutes of Health, Bethesda, MD, 20892, United States.
Kenji SuzukiInstitute of Innovative Research, Tokyo Institute of Technology, Midori-ku, Yokohama, Kanagawa, 226-8503, Japan.
Lia MorraDepartment of Control and Computer Engineering, Politecnico di Torino, Torino, Piemonte, 10129, Italy.
Henkjan HuismanRadboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, Gelderland, 6525 GA, Netherlands.
Samuel G ArmatoDepartment of Radiology, University of Chicago, Chicago, IL, 60637, United States.
Lubomir HadjiiskiDepartment of Radiology, University of Michigan, Ann Arbor, MI, 48109, United States.
United States Food and Drug Administration · USHarvard University · USMemorial Sloan Kettering Cancer Center · USUniversity of Chicago · USUniversity of Michigan · USKLA (United States) · USMayo Clinic Hospital · USMedizinische Hochschule Hannover · DENational Institutes of Health · USNational Institutes of Health Clinical Center · USOak Ridge National Laboratory · USPolitecnico di Torino · ITRadboud University Nijmegen · NLTokyo Institute of Technology · JPUniversity of Pisa · ITUniversity of Washington · USYale University · US
Funding
MEDICAL IMAGING AND DATA RESOURCE CENTER (MIDRC) YEAR 375N92020D00021 · NIBIB · UNIVERSITY OF CHICAGO · PI GIGER, MARYELLEN · 2021 to 2025
$16.6MBiomarker-Based Tools for Treatment Response Decision Support of Bladder CancerU01CA232931 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ALVA, AJJAI SHIVARAM, HADJIYSKI, LUBOMIR M · 2019 to 2024
$3.1MAdvanced breast tomosynthesis reconstruction for improved cancer diagnosisR01CA214981 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI CHAN, HEANG-PING, FESSLER, JEFFREY A · 2018 to 2022
$2.3MSurvival prediction in patients with progressive fibrosing interstitial lung diseaseR01HL164697 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI YOSHIDA, HIROYUKI · 2022 to 2025
$1.7MSpectral precision imaging for early diagnosis of colorectal lesions with CT colonographyR01CA212382 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI YOSHIDA, HIROYUKI · 2018 to 2022
$1.5MComputer Aided Detection for Radiologic ImagesZIACL040004 · CLC · CLINICAL CENTER · PI SUMMERS, RONALD M. · 2009 to 2025
$0kNCI NIH HHS R01 CA212382NCI NIH HHS R01 CA214981NCI NIH HHS U01 CA232931NHLBI NIH HHS 75N92020D00021NHLBI NIH HHS R01 HL164697
Abstract
The adoption of artificial intelligence (AI) tools in medicine poses challenges to existing clinical workflows. This commentary discusses the necessity of context-specific quality assurance (QA), emphasizing the need for robust QA measures with quality control (QC) procedures that encompass (1) acceptance testing (AT) before clinical use, (2) continuous QC monitoring, and (3) adequate user training. The discussion also covers essential components of AT and QA, illustrated with real-world examples. We also highlight what we see as the shared responsibility of manufacturers or vendors, regulators, healthcare systems, medical physicists, and clinicians to enact appropriate testing and oversight to ensure a safe and equitable transformation of medicine through AI.
Indexed as
acceptance testingartificial intelligencedeep learningmachine learningquality assurancequality controlradiology
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.