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TRV-2026-0766Certified recordPeer-reviewed

AI Simplification of Dermatopathology Reports for Patients: Basic Versus Prompt-Engineered Approaches

Background Patients struggle to comprehend dermatopathology reports. As artificial intelligence (AI) tools become more accessible, patients may use them to interpret reports; however, optimal approaches remain unexplored. Objective Evaluate whether prompt-engineered AI simplification of dermatopathology reports improves factualness, completeness, and reduces potential harm compared to basic AI usage. Methods Survey-based study (January-April 2025) of 52 US dermatology and dermatopathology professionals (70.3% re…

Health · The Trace — both readings · certified 2026-08-15 · v1 · article view · machine-readable

Current reading — gain

AI simplification of dermatopathology reports for patients was rated by dermatology professionals as mostly factual, complete, and harmless.

Current reading — problem

Prompt-engineered simplification performed significantly worse for completeness and harmfulness in specific diagnoses and provided generic education disconnected from pathological findings.

What this doesn’t fix

Findings are limited by use of fictitious reports, small professional sample, evolving AI capabilities, and lack of direct patient evaluation.

Evidence

Reader signal

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Truvace Impact Record TRV-2026-0766, v1: “AI Simplification of Dermatopathology Reports for Patients: Basic Versus Prompt-Engineered Approaches.” Truvace, 2026-08-15. /record/TRV-2026-0766 (accessed at citation time). sha256 82b0e91fd4d2a2eb…

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