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TRV-2026-1047Certified recordPeer-reviewed

How Well Do AI Chatbots Understand Abnormal Anatomy: A Comparative Study Using Congenital Anomalies and Tumor Cases

Artificial Intelligence (AI) chatbots are becoming an efficient option to understand medical data and also help with clinical reasoning. There has been a recent progression in research of large language models and their ability to be used in the healthcare sector, such as radiological image analysis, and diagnostic support. There is however, little evidence supporting their ability to accurately understand abnormal anatomical conditions, such as congenital anomalies and tumor related changes in anatomy. To asses…

Health · The Trace — both readings · certified 2026-09-10 · v1 · article view · machine-readable

Current reading — gain

In a 20-case test of congenital anomalies and tumors, ChatGPT, Gemini and Copilot achieved 80-95% diagnostic accuracy with detailed anatomical descriptions, suggesting potential as supplementary radiological diagnostic support.

Current reading — problem

Chatbots sometimes confused similar congenital anomalies and provided less detailed anatomical descriptions in complex tumor cases, requiring caution and verification by qualified professionals before clinical use.

What this doesn’t fix

Study evaluated only 20 representative cases (10 congenital, 10 tumor) using standard questions and images, limiting generalizability to broader clinical practice and more complex presentations.

Evidence

Reader signal

How should this claim be treated?

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Truvace Impact Record TRV-2026-1047, v1: “How Well Do AI Chatbots Understand Abnormal Anatomy: A Comparative Study Using Congenital Anomalies and Tumor Cases.” Truvace, 2026-09-10. /record/TRV-2026-1047 (accessed at citation time). sha256 049e092348a4b987…

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