aceArtificial intelligence-powered solutions for environmental sustainability in medical imaging: a scoping review
Growing evidence shows that medical imaging has a substantial environmental impact. With the increasing adoption of artificial intelligence (AI) in clinical settings, it is important to explore how this technology may support environmental sustainability. Literature searches were performed across eight databases (PubMed, Wiley Online Library, Embase, Web of Science platform, the Cochrane Library, Cumulative Index to Nursing and Allied Health Literature Ultimate, Google Scholar, and MedRxiv) for the period Januar…
The reviewed literature proposes that AI in medical imaging could lower energy use by optimizing scheduling, cutting scanner idle time, and reducing CT over-scanning, contrast agent use and radiation dose.
The source states that the true environmental impact of AI-powered solutions in medical imaging remains largely unexplored, so the proposed sustainability benefits are not demonstrated as net gains.
Evidence
- Peer-reviewedDiagnostic and Interventional Radiology2026-10-30
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Truvace Impact Record TRV-2026-2316, v1: “Artificial intelligence-powered solutions for environmental sustainability in medical imaging: a scoping review.” Truvace, 2026-10-30. /record/TRV-2026-2316 (accessed at citation time). sha256 db31bffb8af192e2…
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