Researchers have developed ConsultMind, a novel framework designed to automate diagnostic consultations by incorporating uncertainty-aware reasoning. This system utilizes an automated pipeline called AutoDisym to construct Disorder--Symptom Bayesian Networks from clinical narratives. ConsultMind then updates diagnostic posteriors and uses this uncertainty to guide patient inquiry and ultimately reach a diagnosis. Evaluations across various medical fields demonstrated that ConsultMind significantly enhances diagnostic accuracy and the quality of explanations provided by different-sized large language models, including GPT-5.6-Sol. AI
IMPACT Automates diagnostic processes, potentially improving efficiency and accuracy in healthcare settings.
RANK_REASON The cluster contains a research paper detailing a new AI framework for automated diagnostic consultations. [lever_c_demoted from research: ic=1 ai=1.0]
- arXiv
- AutoDisym
- Connected Papers
- ConsultMind
- DagsHub
- Disorder--Symptom Bayesian Network
- GPT-5.6 "Sol"
- Hugging Face
- Litmaps
- scite Smart Citations
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