The authors introduce a 3D CT-based visual question answering benchmark with six error types and three task levels, and show that current 3D medical MLLMs perform poorly on it.
Embracing large language models for medical applications: opportuni- ties and challenges.Cureus, 15(5), 2023
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MedErr-CT: A Visual Question Answering Benchmark for Identifying and Correcting Errors in CT Reports
The authors introduce a 3D CT-based visual question answering benchmark with six error types and three task levels, and show that current 3D medical MLLMs perform poorly on it.