Summary of Medical Dialogue Generation Via Intuitive-then-analytical Differential Diagnosis, by Kaishuai Xu et al.
Medical Dialogue Generation via Intuitive-then-Analytical Differential Diagnosis
by Kaishuai Xu, Wenjun Hou, Yi Cheng, Jian Wang, Wenjie Li
First submitted to arxiv on: 12 Jan 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The proposed Medical Dialogue Generation Framework with Intuitive-then-Analytic Differential Diagnosis (IADDx) addresses a significant oversight in recent studies on medical dialogue generation. The framework models a differential diagnosis through retrieval-based intuitive association followed by a graph-enhanced analytic procedure, enabling the generation of comprehensive and rigorous diagnoses. Experimental results on two datasets validate the efficacy of IADDx, which has implications for both clinicians seeking to communicate complex diagnostic processes to patients and researchers aiming to develop practical medical dialogue systems. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Medical dialogue systems could help doctors quickly diagnose and treat patients. The key is making sure the diagnosis is correct. Doctors use a special kind of thinking called differential diagnosis to come up with possible diseases and then try to figure out which one it might be. Some new systems for generating medical dialogues haven’t been good at doing this, so researchers came up with a new way to do it. They call it IADDx (Intuitive-then-Analytic Differential Diagnosis). It works by first using a special kind of search to come up with some possible diseases and then using more advanced thinking to narrow it down. This makes the diagnosis process more accurate and helps doctors explain things better to patients. |
