Papers with Three-Dimensional Clinical Intent Framework evaluating
Benchmarking Egocentric Clinical Intent Understanding Capability for Medical Multimodal Large Language Models (2026.acl-long)
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| Challenge: | Existing benchmarks fail to evaluate egocentric clinical intent understanding of medical multimodal large language models. |
| Approach: | They propose a benchmark leveraging clinician gaze as a Cognitive Cursor to assess intent understanding across surgery, emergency simulation and diagnostic interpretation. |
| Outcome: | The proposed benchmark addresses challenges of visual homogeneity of anatomical structures, strict temporal-causal dependencies in clinical workflows, and implicit adherence to safety protocols. |