{"type":"ScholarlyArticle","title":"A Smart Multimodal Healthcare Copilot with Powerful LLM Reasoning","authors":[{"name":"Xuejiao Zhao","slug":"xuejiao-zhao","given":"Xuejiao","family":"Zhao","affiliation":""},{"name":"Siyan Liu","slug":"siyan-liu","given":"Siyan","family":"Liu","affiliation":""},{"name":"Su-Yin Yang","slug":"su-yin-yang","given":"Su-Yin","family":"Yang","affiliation":""},{"name":"Chunyan Miao","slug":"chunyan-miao","given":"Chunyan","family":"Miao","affiliation":""}],"abstract":"Misdiagnosis causes significant harm to healthcare systems worldwide, leading to increased costs and patient risks. MedRAG is a smart multimodal healthcare copilot equipped with powerful large language model (LLM) reasoning, designed to enhance medical decision-making. It supports multiple input modalities, including non-intrusive voice monitoring, general medical queries, and electronic health records. MedRAG provides recommendations on diagnosis, treatment, medication, and follow-up questioning. Leveraging retrieval-augmented generation enhanced by knowledge graph-elicited reasoning, MedRAG retrieves and integrates critical diagnostic insights, reducing the risk of misdiagnosis. It has been evaluated on both public and private datasets, outperforming existing models and offering more specific and accurate healthcare assistance. A demonstration video of MedRAG is available at: https://www.youtube.com/watch?v=PNIBDMYRfDM. The source code is available at: https://github.com/SNOWTEAM2023/MedRAG.","doi":"10.24963/ijcai.2025/1278","url":"https://ijcai.org/proceedings/2025/1278","pdf":"https://ijcai.org/proceedings/2025/1278.pdf","markdown":"https://ijcai.org/proceedings/2025/1278.md","bibtex":"https://ijcai.org/proceedings/2025/bibtex/1278","volume":{"slug":"2025","title":"Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence","short_title":"IJCAI 2025","url":"https://ijcai.org/proceedings/2025/","year":2025,"location":"Montreal, Canada","dates":"16-22 August 2025","editors":"James Kwok","isbn":"978-1-956792-06-5","publisher":"International Joint Conferences on Artificial Intelligence Organization","doi_prefix":"10.24963/ijcai.2025"},"section":"Demo Track","track":"Demo Track","number":1278,"pages":{"first":11132,"last":11136},"keywords":["Data Mining: DM: Knowledge graphs and knowledge base completion","Computer Vision: CV: Multimodal learning","Natural Language Processing: NLP: Language models","Knowledge Representation and Reasoning: KRR: Applications"],"videos":[],"references":[],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}