ReviewRadiology2024
Environmental Sustainability and AI in Radiology: A Double-Edged Sword.
Abstract readReview
In one paragraph
Review in Radiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers, 1 of them a synthesis that pooled it.
0numbers the graph read from it
0cells of the map it votes in
53citing papers in PubMed, 1 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
53 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Society for Cardiovascular Magnetic Resonance recommendations toward environmentally sustainable cardiovascular magnetic resonance.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2025Guideline
- New pulse sequence for improving cardiac black-blood and PSIR MRI quality in cases of arrhythmia.Magnetic resonance letters · 2027Article
- CIRSE Position Statement on Sustainability in Interventional Radiology.Cardiovascular and interventional radiology · 2026Article
- Artificial Intelligence Integration in Radiology in Saudi Arabia: A Cross-Sectional Survey of Workforce Readiness and Implementation Challenges.Healthcare (Basel, Switzerland) · 2026Article
- Artificial intelligence-enabled pediatric radiology in low-resource settings: addressing resource constraints in the African healthcare system.Pediatric radiology · 2026Review
- Current challenges for global equity related to the implementation of artificial intelligence in pediatric imaging.Pediatric radiology · 2026Review
- Article
- Evaluating and Mitigating Carbon Dioxide Equivalent Emissions in Stroke Management: A Modeling Study.Journal of the American Heart Association · 2026Article
- Energy consumption of standard and contrast-enhanced mammography: a step towards sustainable breast imaging.European radiology · 2026Article
- Alignment of Policy, Practice, and Patient Safety for Trustworthy AI in Radiology.Radiology. Artificial intelligence · 2026Article
- Sustainability of contrast-enhanced breast imaging: a review of current evidence.Insights into imaging · 2026Review
- Improving Radiology Report Error Detection Using a Multipass Large Language Model: Framework Development and Validation.JMIR medical informatics · 2026Article
- Sustainability in Radiology: Position Paper and Call to Action From ACR, AOSR, ASR, CAR, CIR, ESR, ESRNM, ISR, IS3R, RANZCR, and RSNA.Journal of medical imaging and radiation oncology · 2026Article
- Imperative for a health-centred focus on climate change in radiology.Journal of medical imaging and radiation oncology · 2026Review
- Foundation models for radiology: fundamentals, applications, opportunities, challenges, risks, and prospects.Diagnostic and interventional radiology (Ankara, Turkey) · 2026Review
- Governance for safe and responsible AI in healthcare organisations: a scoping review of frameworks.NPJ digital medicine · 2026Article
- Leveraging AI solutions for sustainable practice in pediatric radiology: a practical guide and an educational tool.Pediatric radiology · 2026Review
- Radiology's Triple Helix: Value, Patient Care, and the Planet.Journal of the American College of Radiology : JACR · 2026Article
- Data mining in pediatric radiology in the era of artificial intelligence.Pediatric radiology · 2026Review
- Greenhouse gas emissions due to long-term data storage of CT with reformats and strategies for mitigation.European radiology · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Florence X DooFrom the University of Maryland Medical Intelligent Imaging (UM2ii) Center, Department of Radiology and Nuclear Medicine, University of Maryland, Baltimore, MD (F.X.D.); Department of Radiology, University Hospital Basel, Basel, Switzerland (J.V., T.H.); Department of Radiology, New York University, New York, NY (J.V., L.M.); Department of Radiology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pa (T.S.C.); Joint Department of Medical Imaging, University Health Network, Toronto, Ontario, Canada (E.P.R.P.A., K.H.); Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, Calif (S.A.W.); Department of Radiology and Imaging Sciences, Emory University, Atlanta, Ga (J.W.G.); Toronto General Hospital Research Institute, University Health Network, University of Toronto, 585 University Ave, 1 PMB-298, Toronto, ON, Cananda M5G 2N2 (K.H.); and Department of Medical Imaging, University Medical Imaging Toronto, University of Toronto, Toronto, Ontario, Canada (K.H.).ORCID 0000-0001-6519-5222
Jan VosshenrichFrom the University of Maryland Medical Intelligent Imaging (UM2ii) Center, Department of Radiology and Nuclear Medicine, University of Maryland, Baltimore, MD (F.X.D.); Department of Radiology, University Hospital Basel, Basel, Switzerland (J.V., T.H.); Department of Radiology, New York University, New York, NY (J.V., L.M.); Department of Radiology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pa (T.S.C.); Joint Department of Medical Imaging, University Health Network, Toronto, Ontario, Canada (E.P.R.P.A., K.H.); Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, Calif (S.A.W.); Department of Radiology and Imaging Sciences, Emory University, Atlanta, Ga (J.W.G.); Toronto General Hospital Research Institute, University Health Network, University of Toronto, 585 University Ave, 1 PMB-298, Toronto, ON, Cananda M5G 2N2 (K.H.); and Department of Medical Imaging, University Medical Imaging Toronto, University of Toronto, Toronto, Ontario, Canada (K.H.).ORCID 0000-0003-3323-8472
Tessa S CookFrom the University of Maryland Medical Intelligent Imaging (UM2ii) Center, Department of Radiology and Nuclear Medicine, University of Maryland, Baltimore, MD (F.X.D.); Department of Radiology, University Hospital Basel, Basel, Switzerland (J.V., T.H.); Department of Radiology, New York University, New York, NY (J.V., L.M.); Department of Radiology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pa (T.S.C.); Joint Department of Medical Imaging, University Health Network, Toronto, Ontario, Canada (E.P.R.P.A., K.H.); Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, Calif (S.A.W.); Department of Radiology and Imaging Sciences, Emory University, Atlanta, Ga (J.W.G.); Toronto General Hospital Research Institute, University Health Network, University of Toronto, 585 University Ave, 1 PMB-298, Toronto, ON, Cananda M5G 2N2 (K.H.); and Department of Medical Imaging, University Medical Imaging Toronto, University of Toronto, Toronto, Ontario, Canada (K.H.).ORCID 0000-0002-6007-7267
Linda MoyFrom the University of Maryland Medical Intelligent Imaging (UM2ii) Center, Department of Radiology and Nuclear Medicine, University of Maryland, Baltimore, MD (F.X.D.); Department of Radiology, University Hospital Basel, Basel, Switzerland (J.V., T.H.); Department of Radiology, New York University, New York, NY (J.V., L.M.); Department of Radiology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pa (T.S.C.); Joint Department of Medical Imaging, University Health Network, Toronto, Ontario, Canada (E.P.R.P.A., K.H.); Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, Calif (S.A.W.); Department of Radiology and Imaging Sciences, Emory University, Atlanta, Ga (J.W.G.); Toronto General Hospital Research Institute, University Health Network, University of Toronto, 585 University Ave, 1 PMB-298, Toronto, ON, Cananda M5G 2N2 (K.H.); and Department of Medical Imaging, University Medical Imaging Toronto, University of Toronto, Toronto, Ontario, Canada (K.H.).ORCID 0000-0001-9564-9360
Eduardo P R P AlmeidaFrom the University of Maryland Medical Intelligent Imaging (UM2ii) Center, Department of Radiology and Nuclear Medicine, University of Maryland, Baltimore, MD (F.X.D.); Department of Radiology, University Hospital Basel, Basel, Switzerland (J.V., T.H.); Department of Radiology, New York University, New York, NY (J.V., L.M.); Department of Radiology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pa (T.S.C.); Joint Department of Medical Imaging, University Health Network, Toronto, Ontario, Canada (E.P.R.P.A., K.H.); Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, Calif (S.A.W.); Department of Radiology and Imaging Sciences, Emory University, Atlanta, Ga (J.W.G.); Toronto General Hospital Research Institute, University Health Network, University of Toronto, 585 University Ave, 1 PMB-298, Toronto, ON, Cananda M5G 2N2 (K.H.); and Department of Medical Imaging, University Medical Imaging Toronto, University of Toronto, Toronto, Ontario, Canada (K.H.).ORCID 0000-0001-8196-866X
Sean A WoolenFrom the University of Maryland Medical Intelligent Imaging (UM2ii) Center, Department of Radiology and Nuclear Medicine, University of Maryland, Baltimore, MD (F.X.D.); Department of Radiology, University Hospital Basel, Basel, Switzerland (J.V., T.H.); Department of Radiology, New York University, New York, NY (J.V., L.M.); Department of Radiology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pa (T.S.C.); Joint Department of Medical Imaging, University Health Network, Toronto, Ontario, Canada (E.P.R.P.A., K.H.); Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, Calif (S.A.W.); Department of Radiology and Imaging Sciences, Emory University, Atlanta, Ga (J.W.G.); Toronto General Hospital Research Institute, University Health Network, University of Toronto, 585 University Ave, 1 PMB-298, Toronto, ON, Cananda M5G 2N2 (K.H.); and Department of Medical Imaging, University Medical Imaging Toronto, University of Toronto, Toronto, Ontario, Canada (K.H.).ORCID 0000-0003-4951-2173
Judy Wawira GichoyaFrom the University of Maryland Medical Intelligent Imaging (UM2ii) Center, Department of Radiology and Nuclear Medicine, University of Maryland, Baltimore, MD (F.X.D.); Department of Radiology, University Hospital Basel, Basel, Switzerland (J.V., T.H.); Department of Radiology, New York University, New York, NY (J.V., L.M.); Department of Radiology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pa (T.S.C.); Joint Department of Medical Imaging, University Health Network, Toronto, Ontario, Canada (E.P.R.P.A., K.H.); Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, Calif (S.A.W.); Department of Radiology and Imaging Sciences, Emory University, Atlanta, Ga (J.W.G.); Toronto General Hospital Research Institute, University Health Network, University of Toronto, 585 University Ave, 1 PMB-298, Toronto, ON, Cananda M5G 2N2 (K.H.); and Department of Medical Imaging, University Medical Imaging Toronto, University of Toronto, Toronto, Ontario, Canada (K.H.).
Tobias HeyeFrom the University of Maryland Medical Intelligent Imaging (UM2ii) Center, Department of Radiology and Nuclear Medicine, University of Maryland, Baltimore, MD (F.X.D.); Department of Radiology, University Hospital Basel, Basel, Switzerland (J.V., T.H.); Department of Radiology, New York University, New York, NY (J.V., L.M.); Department of Radiology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pa (T.S.C.); Joint Department of Medical Imaging, University Health Network, Toronto, Ontario, Canada (E.P.R.P.A., K.H.); Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, Calif (S.A.W.); Department of Radiology and Imaging Sciences, Emory University, Atlanta, Ga (J.W.G.); Toronto General Hospital Research Institute, University Health Network, University of Toronto, 585 University Ave, 1 PMB-298, Toronto, ON, Cananda M5G 2N2 (K.H.); and Department of Medical Imaging, University Medical Imaging Toronto, University of Toronto, Toronto, Ontario, Canada (K.H.).
Kate HannemanFrom the University of Maryland Medical Intelligent Imaging (UM2ii) Center, Department of Radiology and Nuclear Medicine, University of Maryland, Baltimore, MD (F.X.D.); Department of Radiology, University Hospital Basel, Basel, Switzerland (J.V., T.H.); Department of Radiology, New York University, New York, NY (J.V., L.M.); Department of Radiology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pa (T.S.C.); Joint Department of Medical Imaging, University Health Network, Toronto, Ontario, Canada (E.P.R.P.A., K.H.); Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, Calif (S.A.W.); Department of Radiology and Imaging Sciences, Emory University, Atlanta, Ga (J.W.G.); Toronto General Hospital Research Institute, University Health Network, University of Toronto, 585 University Ave, 1 PMB-298, Toronto, ON, Cananda M5G 2N2 (K.H.); and Department of Medical Imaging, University Medical Imaging Toronto, University of Toronto, Toronto, Ontario, Canada (K.H.).ORCID 0000-0002-3077-2218
Funding
NHLBI NIH HHS 75N92020C00008
Abstract
According to the World Health Organization, climate change is the single biggest health threat facing humanity. The global health care system, including medical imaging, must manage the health effects of climate change while at the same time addressing the large amount of greenhouse gas (GHG) emissions generated in the delivery of care. Data centers and computational efforts are increasingly large contributors to GHG emissions in radiology. This is due to the explosive increase in big data and artificial intelligence (AI) applications that have resulted in large energy requirements for developing and deploying AI models. However, AI also has the potential to improve environmental sustainability in medical imaging. For example, use of AI can shorten MRI scan times with accelerated acquisition times, improve the scheduling efficiency of scanners, and optimize the use of decision-support tools to reduce low-value imaging. The purpose of this
Indexed as
Artificial IntelligenceRadiologyBig DataClimate ChangeHumansRadiography
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What OpenQuestion holds
Textmetadata
Read underepoch 390
Registered trials
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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.