aceAI simplification of dermatopathology reports for patient comprehension
Source article: AI Simplification of Dermatopathology Reports for Patients: Basic Versus Prompt-Engineered Approaches
Abstract: 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…
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A peer-reviewed survey study from January to April 2025 asked 52 US dermatology and dermatopathology professionals to rate AI-simplified versions of six fictitious dermatopathology reports. One version used Basic ChatGPT-4.0 with a simple prompt and the other used a custom DermDecoder GPT with a structured 489-word prompt, evaluated for factualness, completeness, and potential harm.
The findings matter because patients may increasingly use accessible AI tools to interpret their own reports, raising questions about accuracy and safety. By the August 2026 publication date, the observed ratings suggested mostly factual and harmless outputs but no benefit from elaborate prompt engineering, and uncertainty remains due to fictitious cases, a small professional sample, evolving models, and absence of patient perspectives, leading authors to call for human-in-the-loop oversight.
- Survey-based study January-April 2025 of 52 US dermatology and dermatopathology professionals with 70.3% response rate evaluated six fictitious reports.
- Two approaches compared: Basic ChatGPT-4.0 with simple prompt versus Custom "DermDecoder" GPT with structured 489-word prompt.
- Free-text analysis found Basic Prompt preserved details but lacked clinical context, while DermDecoder provided generic education disconnected from findings.
AI simplification of dermatopathology reports for patients was rated by dermatology professionals as mostly factual, complete, and harmless.
Prompt-engineered simplification performed significantly worse for completeness and harmfulness in specific diagnoses and provided generic education disconnected from pathological findings.
The rundown
The study created six fictitious dermatopathology reports and simplified each with a basic ChatGPT-4.0 prompt and a custom 489-word DermDecoder GPT. Fifty-two US dermatology and dermatopathology professionals rated the outputs on 3-point Likert scales for factualness, completeness, and potential harm between January and April 2025.
Results showed no advantage for prompt engineering. DermDecoder was rated significantly worse for completeness in psoriasis and for harmfulness in molluscum contagiosum and melanoma in situ, with qualitative feedback noting generic education rather than report-specific context.
Findings are limited by use of fictitious reports, small professional sample, evolving AI capabilities, and lack of direct patient evaluation.
Sources
- Peer-reviewedJournal of Cutaneous Pathology2026-08-13
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