A preliminary investigation into the potential, pitfalls, and limitations of large language models for mammography interpretation
Abstract This study evaluates the capabilities of large language models, specifically GPT-4, in interpreting mammographic images. The analysis involved 120 mammographic images equally divided between cases with and without mammography’s findings. Without additional context, the LLM was tasked to gen...
I tiakina i:
| Ngā kaituhi matua: | , , , , , , , , , |
|---|---|
| Hōputu: | Artigo |
| Reo: | Inglês |
| I whakaputaina: |
Springer
2025-02-01
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| Rangatū: | Discover Oncology |
| Urunga tuihono: | https://doi.org/10.1007/s12672-025-02005-4 |
| Ngā Tūtohu: |
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
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