Paid ChatGPT nails complex pathology case, pathologist shares results
ChatGPT's differential diagnosis equals a dermatopathologist's...
A working pathologist on Reddit detailed how paid ChatGPT handled a complex diagnostic case that would normally require a dermatopathologist. The case involved liver and lung lesions where the clinician suspected lung metastases, but no melanoma history. Morphology showed gray cytoplasm, pigment, and pseudoinclusions. IHC revealed strong SOX10, negative for TTF-1, p40, CK7, CK20. The pathologist, knowing the answer ahead of time, asked ChatGPT for the next steps.
The AI responded with a precise differential favoring metastatic melanoma, then recommended confirmatory stains: S100 for sensitivity, Melan-A/HMB45 for specificity, PRAME for supportive evidence, and a pan-cytokeratin to exclude carcinoma. It also offered differential considerations (e.g., vascular tumors, schwannian tumors) and even suggested sign-out language for a small biopsy. The pathologist noted the response was as good or better than asking a dermatopathologist, and that AI could fundamentally change diagnostic workflows—though the job would likely evolve rather than vanish.
- ChatGPT correctly identified melanoma from ambiguous IHC and morphology, recommending additional stains like S100 and Melan-A.
- The AI provided practical sign-out wording for a small biopsy, showing nuanced understanding of tissue conservation.
- The pathologist noted the response matched or exceeded what a dermatopathologist would give, with 1M token context likely used.
- The post highlights AI's growing role in complex medical diagnostics, potentially reducing dependency on subspecialty consults.
Why It Matters
AI diagnostic reasoning could augment pathologists, reducing turnaround time and costs for complex cases.