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New chatbot integrates multiple sources for Long COVID clinical support

Researchers have developed a new chatbot designed to assist clinicians in managing Long COVID cases by integrating multiple evidence sources. The chatbot organizes expert consensus guidance, current PubMed literature, clinical trial data, and living systematic reviews into a retrieval-augmented workflow. An initial evaluation indicated that the chatbot performed comparably to OpenEvidence, with LLM-judged comparisons showing slightly better scores and less variability. AI

IMPACT This chatbot could improve clinical decision-making for complex conditions like Long COVID by providing synthesized, up-to-date information.

RANK_REASON The cluster contains an academic paper detailing a new chatbot for clinical decision support.

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

New chatbot integrates multiple sources for Long COVID clinical support

COVERAGE [2]

  1. arXiv cs.AI TIER_1 English(EN) · Yining Wu, Philip DiGiacomo, Ying Ding, William Brode ·

    Grounded in Consensus, In Step With Emerging Science: A Consensus-Anchored Multi-Corpus Clinical Chatbot for Long COVID

    arXiv:2607.25038v1 Announce Type: cross Abstract: Long COVID (LC) poses a challenge for clinical decision support because relevant evidence is distributed across sources with different update cycles, evidentiary roles, and levels of clinical maturity. We present a clinician-facin…

  2. arXiv cs.IR (Information Retrieval) TIER_1 English(EN) · William Brode ·

    Grounded in Consensus, In Step With Emerging Science: A Consensus-Anchored Multi-Corpus Clinical Chatbot for Long COVID

    Long COVID (LC) poses a challenge for clinical decision support because relevant evidence is distributed across sources with different update cycles, evidentiary roles, and levels of clinical maturity. We present a clinician-facing chatbot that organizes four sources within a ret…