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Submitted URL: https://ntkdigital.ntk-institute.org/short?dp=364-3297b00c-6909-411b-a335-6598cfa70988&nlSite=ntk_digital&eventId=41045&campaignId=12...
Effective URL: https://ntkdigital.ntk-institute.org/article/chatent-augmented-large-language-model-for-expert-knowledge-retrieval-in-otolaryngology-...
Submission: On June 22 via manual from US — Scanned from DE
Effective URL: https://ntkdigital.ntk-institute.org/article/chatent-augmented-large-language-model-for-expert-knowledge-retrieval-in-otolaryngology-...
Submission: On June 22 via manual from US — Scanned from DE
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You need to enable JavaScript to run this app. Introducing Dougall GPT Everyday AI, Harnessed for Clinicians.Try it now. NTK DIGITAL Jun 19, 2024 CHATENT: AUGMENTED LARGE LANGUAGE MODEL FOR EXPERT KNOWLEDGE RETRIEVAL IN OTOLARYNGOLOGY-HEAD AND NECK SURGERY. Cai Long, Deepak Subburam, Kayle Lowe, André Dos Santos Otolaryngol Head Neck Surg. 2024 Jun 19 [Epub ahead of print] OBJECTIVE The recent surge in popularity of large language models (LLMs), such as ChatGPT, has showcased their proficiency in medical examinations and potential applications in health care. However, LLMs possess inherent limitations, including inconsistent accuracy, specific prompting requirements, and the risk of generating harmful hallucinations. click to scroll down to continue reading the article John E. Anderson, MD 1.0 CME / NCPD / AAPA Considering Weight Management as a Primary Goal in PwT2DMRegister for this in-person symposium on September 25...Register now for live events article continues here A domain-specific model might address these limitations effectively. STUDY DESIGN Developmental design. SETTING Virtual. METHODS Otolaryngology-head and neck surgery (OHNS) relevant data were systematically gathered from open-access Internet sources and indexed into a knowledge database. We leveraged Retrieval-Augmented Language Modeling to recall this information and utilized it for pretraining, which was then integrated into ChatGPT4.0, creating an OHNS-specific knowledge question & answer platform known as ChatENT. The model is further tested on different types of questions. RESULTS ChatENT showed enhanced performance in the analysis and interpretation of OHNS information, outperforming ChatGPT4.0 in both the Canadian Royal College OHNS sample examination questions challenge and the US board practice questions challenge, with a 58.4% and 26.0% error reduction, respectively. ChatENT generated fewer hallucinations and demonstrated greater consistency. CONCLUSION To the best of our knowledge, ChatENT is the first specialty-specific knowledge retrieval artificial intelligence in the medical field that utilizes the latest LLM. It appears to have considerable promise in areas such as medical education, patient education, and clinical decision support. The model has demonstrated the capacity to overcome the limitations of existing LLMs, thereby signaling a future of more precise, safe, and user-friendly applications in the realm of OHNS and other medical fields. Source: Otolaryngology--Head And Neck Surgery : Official Journal Of American Academy Of Otolaryngology-Head And Neck Surgery (2) GPT How can ChatENT improve clinical decision support? -------------------------------------------------------------------------------- What are the limitations of current LLMs in healthcare? -------------------------------------------------------------------------------- How does ChatENT reduce error rates in OHNS exams? -------------------------------------------------------------------------------- ALSO OF INTEREST? -------------------------------------------------------------------------------- Journal of the American Medical Informatics Association : JAMIA Abstract A comparative study of large language model-based zero-shot inference and task-specific supervised classification of breast cancer pathology reports.OBJECTIVE Although supervised machine learning is popular for information extraction from clinical notes, creating large annotated datasets requires extensive domain... read more (1) GPT -------------------------------------------------------------------------------- Medical teacher Abstract Can ChatGPT generate practice question explanations for medical students, a new faculty teaching tool?INTRODUCTION Multiple-choice questions (MCQs) are frequently used for formative assessment in medical school but often lack sufficient answer explanations given... read more (1) GPT -------------------------------------------------------------------------------- Jane Anderson, FRCP, PhD Making Plans for Munich? 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The dynamics of risk... read more GPT -------------------------------------------------------------------------------- Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine Abstract Reproducible Research Practices in Magnetic Resonance Neuroimaging: A Review Informed by Advanced Language Models.MRI has progressed significantly with the introduction of advanced computational methods and novel imaging techniques, but their wider adoption hinges... read more (3) GPT -------------------------------------------------------------------------------- © 2024 All rights reserved |Edit Profile |Terms of Use |Privacy Policy We use cookies to improve your experience. By using this website, you accept cookies or have set your browser or device to not accept cookies.