ReviewRadiology2022
Implementation of Clinical Artificial Intelligence in Radiology: Who Decides and How?
Erratum issued Registry-linked trialAbstract readReview
In one paragraph
Review in Radiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. It is linked to trial NCT07744555 (Change in the Proportion of Correct Interpretations of Pulmonary Opacities by General Practitioners Using an Expert System), which is not on this map. Cited by 66 papers, 3 of them syntheses that pooled it.
0numbers the graph read from it
0cells of the map it votes in
66citing papers in PubMed, 3 pooled it
–field-weighted citation impact
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
NCT07744555 naactive not recruitingnot on this mapstarted 2026, after this paper: background citation
Change in the Proportion of Correct Interpretations of Pulmonary Opacities by General Practitioners Using an Expert System
Who cites it
66 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Artificial Intelligence Governance in Health Systems: Systematic Review of Frameworks and Integrative Model Proposal.Journal of medical Internet research · 2026Pooled it
- Economic, ethical, and regulatory dimensions of artificial intelligence in healthcare: an integrative review.Frontiers in public health · 2025Pooled it
- The endorsement of general and artificial intelligence reporting guidelines in radiological journals: a meta-research study.BMC medical research methodology · 2023Pooled it
- Artificial intelligence in cardiovascular medicine: a practical guide for clinicians and researchers.European heart journal. Digital health · 2026Review
- Artificial Intelligence Reporting Guidelines in Radiology: A Systematic Review.Diagnostics (Basel, Switzerland) · 2026Review
- Human-AI interaction and collaboration in radiology: from conceptual frameworks to responsible implementation.Diagnostic and interventional radiology (Ankara, Turkey) · 2026Review
- Teaching AI for Radiology Applications: a Multisociety-Recommended Syllabus from the AAPM, ACR, RSNA, and SIIM.Journal of imaging informatics in medicine · 2026Article
- Artificial intelligence in paediatric neuroradiology: current landscape, challenges, and future directions.Pediatric radiology · 2026Review
- Reply to the Letter to the Editor: Blind spots in radiology leadership regarding human resources and organization management in the era of artificial intelligence.European radiology · 2026Article
- Alignment of Policy, Practice, and Patient Safety for Trustworthy AI in Radiology.Radiology. Artificial intelligence · 2026Article
- Application of a deep learning method based on CBCT panoramic reconstruction images for differentiating operationally defined cystic and neoplastic jaw lesions from osteomyelitis: a single-center retrospective study.Scientific reports · 2026Article
- [Possibilities for integrating artificial intelligence into the diagnostic process].Radiologie (Heidelberg, Germany) · 2026Article
- Article
- From Artificial Intelligence to Robotics: How to Navigate Technological Innovation in Radiology With the Gartner Hype Cycle.Academic radiology · 2026Review
- Artificial intelligence drives the identification and screening of novel antibiotics and antimicrobial peptides.Briefings in bioinformatics · 2026Review
- 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
- Collaborative and Cooperative Hospital "In-House" Medical Device Development and Implementation in the AI Age: The European Responsible AI Development (EURAID) Framework Compatible With European Values.Journal of medical Internet research · 2026Article
- Implementing an Artificial Intelligence Decision Support System in Radiology: Prospective Qualitative Evaluation Study Using the Nonadoption Abandonment Scale-Up, Spread, and Sustainability (NASSS) Framework.Journal of medical Internet research · 2026Article
- Establishing a framework for development, prioritization, and assessment of artificial intelligence technology within the radiology department at a large UK teaching hospital.BJR artificial intelligence · 2026Review
- Leadership in radiology in the era of technological advancements and artificial intelligence.European radiology · 2026Article
6 more citing papers are in PubMed but not listed here.
Corrections and comments
- Erratum issued
Authors and funding
13 authors.
Dania Daye *From the Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit St, GRB 297, Boston, MA 02155 (D.D., T.A., B.C.B., K.D., J.A.B., K.J.D.); Department of Radiology, Duke University, Durham, NC (W.F.W., C.J.R.); Department of Radiology, Stanford University, Stanford, Calif (M.P.L., D.B.L., C.P.L.); Radiology Partners, El Segundo, Calif (N.K.); and Department of Radiology, Grandview Medical Center, Birmingham, Ala (B.A.).ORCID 0000-0002-2230-7199
Walter F WigginsFrom the Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit St, GRB 297, Boston, MA 02155 (D.D., T.A., B.C.B., K.D., J.A.B., K.J.D.); Department of Radiology, Duke University, Durham, NC (W.F.W., C.J.R.); Department of Radiology, Stanford University, Stanford, Calif (M.P.L., D.B.L., C.P.L.); Radiology Partners, El Segundo, Calif (N.K.); and Department of Radiology, Grandview Medical Center, Birmingham, Ala (B.A.).ORCID 0000-0002-0258-2708
Matthew P LungrenFrom the Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit St, GRB 297, Boston, MA 02155 (D.D., T.A., B.C.B., K.D., J.A.B., K.J.D.); Department of Radiology, Duke University, Durham, NC (W.F.W., C.J.R.); Department of Radiology, Stanford University, Stanford, Calif (M.P.L., D.B.L., C.P.L.); Radiology Partners, El Segundo, Calif (N.K.); and Department of Radiology, Grandview Medical Center, Birmingham, Ala (B.A.).ORCID 0000-0002-8591-5861
Tarik AlkasabFrom the Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit St, GRB 297, Boston, MA 02155 (D.D., T.A., B.C.B., K.D., J.A.B., K.J.D.); Department of Radiology, Duke University, Durham, NC (W.F.W., C.J.R.); Department of Radiology, Stanford University, Stanford, Calif (M.P.L., D.B.L., C.P.L.); Radiology Partners, El Segundo, Calif (N.K.); and Department of Radiology, Grandview Medical Center, Birmingham, Ala (B.A.).
Nina KottlerFrom the Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit St, GRB 297, Boston, MA 02155 (D.D., T.A., B.C.B., K.D., J.A.B., K.J.D.); Department of Radiology, Duke University, Durham, NC (W.F.W., C.J.R.); Department of Radiology, Stanford University, Stanford, Calif (M.P.L., D.B.L., C.P.L.); Radiology Partners, El Segundo, Calif (N.K.); and Department of Radiology, Grandview Medical Center, Birmingham, Ala (B.A.).
Bibb AllenFrom the Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit St, GRB 297, Boston, MA 02155 (D.D., T.A., B.C.B., K.D., J.A.B., K.J.D.); Department of Radiology, Duke University, Durham, NC (W.F.W., C.J.R.); Department of Radiology, Stanford University, Stanford, Calif (M.P.L., D.B.L., C.P.L.); Radiology Partners, El Segundo, Calif (N.K.); and Department of Radiology, Grandview Medical Center, Birmingham, Ala (B.A.).ORCID 0000-0003-0761-290X
Christopher J RothFrom the Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit St, GRB 297, Boston, MA 02155 (D.D., T.A., B.C.B., K.D., J.A.B., K.J.D.); Department of Radiology, Duke University, Durham, NC (W.F.W., C.J.R.); Department of Radiology, Stanford University, Stanford, Calif (M.P.L., D.B.L., C.P.L.); Radiology Partners, El Segundo, Calif (N.K.); and Department of Radiology, Grandview Medical Center, Birmingham, Ala (B.A.).ORCID 0000-0002-9634-7126
Bernardo C BizzoFrom the Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit St, GRB 297, Boston, MA 02155 (D.D., T.A., B.C.B., K.D., J.A.B., K.J.D.); Department of Radiology, Duke University, Durham, NC (W.F.W., C.J.R.); Department of Radiology, Stanford University, Stanford, Calif (M.P.L., D.B.L., C.P.L.); Radiology Partners, El Segundo, Calif (N.K.); and Department of Radiology, Grandview Medical Center, Birmingham, Ala (B.A.).ORCID 0000-0002-9686-6751
Kimberly DurniakFrom the Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit St, GRB 297, Boston, MA 02155 (D.D., T.A., B.C.B., K.D., J.A.B., K.J.D.); Department of Radiology, Duke University, Durham, NC (W.F.W., C.J.R.); Department of Radiology, Stanford University, Stanford, Calif (M.P.L., D.B.L., C.P.L.); Radiology Partners, El Segundo, Calif (N.K.); and Department of Radiology, Grandview Medical Center, Birmingham, Ala (B.A.).ORCID 0000-0002-4114-7135
James A BrinkFrom the Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit St, GRB 297, Boston, MA 02155 (D.D., T.A., B.C.B., K.D., J.A.B., K.J.D.); Department of Radiology, Duke University, Durham, NC (W.F.W., C.J.R.); Department of Radiology, Stanford University, Stanford, Calif (M.P.L., D.B.L., C.P.L.); Radiology Partners, El Segundo, Calif (N.K.); and Department of Radiology, Grandview Medical Center, Birmingham, Ala (B.A.).ORCID 0000-0002-9982-3589
David B LarsonFrom the Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit St, GRB 297, Boston, MA 02155 (D.D., T.A., B.C.B., K.D., J.A.B., K.J.D.); Department of Radiology, Duke University, Durham, NC (W.F.W., C.J.R.); Department of Radiology, Stanford University, Stanford, Calif (M.P.L., D.B.L., C.P.L.); Radiology Partners, El Segundo, Calif (N.K.); and Department of Radiology, Grandview Medical Center, Birmingham, Ala (B.A.).ORCID 0000-0002-1157-5905
Keith J DreyerFrom the Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit St, GRB 297, Boston, MA 02155 (D.D., T.A., B.C.B., K.D., J.A.B., K.J.D.); Department of Radiology, Duke University, Durham, NC (W.F.W., C.J.R.); Department of Radiology, Stanford University, Stanford, Calif (M.P.L., D.B.L., C.P.L.); Radiology Partners, El Segundo, Calif (N.K.); and Department of Radiology, Grandview Medical Center, Birmingham, Ala (B.A.).ORCID 0000-0003-1207-6443
Curtis P Langlotz *From the Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit St, GRB 297, Boston, MA 02155 (D.D., T.A., B.C.B., K.D., J.A.B., K.J.D.); Department of Radiology, Duke University, Durham, NC (W.F.W., C.J.R.); Department of Radiology, Stanford University, Stanford, Calif (M.P.L., D.B.L., C.P.L.); Radiology Partners, El Segundo, Calif (N.K.); and Department of Radiology, Grandview Medical Center, Birmingham, Ala (B.A.).ORCID 0000-0002-8972-8051
Funding
RADX TECH - CERES NANOSCIENCE INC NANOTRAP PARTICLE MANUFACTURING75N92020C00021 · NHLBI · CERES NANOSCIENCES, LLLP · PI DUNLAP, ROSS · 2021 to 2021
$4.0MNHLBI NIH HHS 75N92020C00008NHLBI NIH HHS 75N92020C00021
Abstract
As the role of artificial intelligence (AI) in clinical practice evolves, governance structures oversee the implementation, maintenance, and monitoring of clinical AI algorithms to enhance quality, manage resources, and ensure patient safety. In this article, a framework is established for the infrastructure required for clinical AI implementation and presents a road map for governance. The road map answers four key questions: Who decides which tools to implement? What factors should be considered when assessing an application for implementation? How should applications be implemented in clinical practice? Finally, how should tools be monitored and maintained after clinical implementation? Among the many challenges for the implementation of AI in clinical practice, devising flexible governance structures that can quickly adapt to a changing environment will be essential to ensure quality patient care and practice improvement objectives.
Indexed as
Artificial IntelligenceRadiologyAlgorithmsHumansQuality of Health CareRadiography
Identifiers
What OpenQuestion holds
Textmetadata
Read underepoch 390
Registered trials
NCT07744555ClinicalTrials.gov
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.