A5016487127- Traditional Chinese Medicine Studies
- Biomedical Text Mining and Ontologies
- Bioinformatics and Genomic Networks
- Electronic Health Records Systems
- Cerebrovascular and Carotid Artery Diseases
- Acupuncture Treatment Research Studies
- Menopause: Health Impacts and Treatments
- Retinal Imaging and Analysis
- Optical Coherence Tomography Applications
- Phytoestrogen effects and research
- Business Process Modeling and Analysis
- Educational Technology and Assessment
Zhejiang Chinese Medical University
2024
Guangdong Provincial Hospital of Traditional Chinese Medicine
2021-2024
Objectives: Large language models (LLMs) can harness medical knowledge for intelligent question answering (Q&A), promising support auxiliary diagnosis and talent cultivation. However, there is a deficiency of highly efficient retrieval-augmented generation (RAG) frameworks within the domain Traditional Chinese Medicine (TCM). Our purpose to observe effect Tree-Organized Self-Reflective Retrieval (TOSRR) framework on LLMs in TCM Q&A tasks. Materials Methods: We introduce novel approach...
Knowledge graphs (KGs) can integrate domain knowledge into a traditional Chinese medicine (TCM) intelligent syndrome differentiation model. However, the quality of current KGs in TCM varies greatly, related to lack graph completion (KGC) and evaluation methods.
Large Language Models (LLMs) are revolutionizing various aspects of our lives. Integrating LLMs into Optical Coherence Tomography (OCT) devices could significantly assist doctors by offering diagnostic and treatment recommendations, particularly in situations where medical expertise is scarce. Unlike artificial intelligence (AI) models that provide conclusions opaquely, enhance the safety efficacy AI-assisted diagnosis through interactive human-computer dialogue. However, due to imperative...
<sec> <title>BACKGROUND</title> Knowledge graphs (KGs) can integrate domain knowledge into a traditional Chinese medicine (TCM) intelligent syndrome differentiation model. However, the quality of current KGs in TCM varies greatly, related to lack graph completion (KGC) and evaluation methods. </sec> <title>OBJECTIVE</title> This study aims investigate KGC methods tailored for knowledge. <title>METHODS</title> In phase, according characteristics knowledge, we proposed 3-step...