aceLarge language models and prostate MRI reporting: a stringent testbed for safe deployment under evolving AI, health-data, and cybersecurity regulation
Prostate magnetic resonance imaging (MRI) reporting is a high-impact communication task because small differences in lesion laterality, sector localization, lesion size, Prostate Imaging-Reporting and Data System (PI-RADS) categorization, or staging language can change biopsy targeting, surveillance, counseling, and treatment planning. At the same time, widespread patient-portal access means that many patients encounter radiology reports before clinical discussion and may seek explanations from public large lang…
Large language models can restructure prostate MRI reports and extract discrete variables to support supervised summaries and patient-facing explanations.
When used for prostate MRI reporting, LLMs can hallucinate measurements, flip negations, misstate laterality, and overstate cancer likelihood, creating patient-safety and accountability risks especially if reports are copied outside clinical governance.
Regulatory requirements for health-data access, cybersecurity, incident reporting, human oversight, logging, and liability are still evolving and require local operationalization, and FDA guidance emphasizes clinicians must be able to independently review basis for recommendations.
Evidence
- Peer-reviewedAbdominal Radiology2026-08-17
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Truvace Impact Record TRV-2026-0828, v1: “Large language models and prostate MRI reporting: a stringent testbed for safe deployment under evolving AI, health-data, and cybersecurity regulation.” Truvace, 2026-08-18. /record/TRV-2026-0828 (accessed at citation time). sha256 8547060cc93e4360…
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