A5028988670- Topic Modeling
- Artificial Intelligence in Healthcare and Education
- Machine Learning in Healthcare
- Facial Nerve Paralysis Treatment and Research
- Natural Language Processing Techniques
- Meningioma and schwannoma management
- Neurofibromatosis and Schwannoma Cases
New York University
2022-2024
Abstract Importance Large language models (LLMs) are crucial for medical tasks. Ensuring their reliability is vital to avoid false results. Our study assesses two state-of-the-art LLMs (ChatGPT and LlaMA-2) extracting clinical information, focusing on cognitive tests like MMSE CDR. Objective Evaluate ChatGPT LlaMA-2 performance in CDR scores, including associated dates. Methods data consisted of 135,307 notes (Jan 12th, 2010 May 24th, 2023) mentioning MMSE, CDR, or MoCA. After applying...
Ensuring reliability of Large Language Models (LLMs) in clinical tasks is crucial. Our study assesses two state-of-the-art LLMs (ChatGPT and LlaMA-2) for extracting information, focusing on cognitive tests like MMSE CDR. data consisted 135,307 notes (Jan 12th, 2010 to May 24th, 2023) mentioning MMSE, CDR, or MoCA. After applying inclusion criteria 34,465 remained, which 765 underwent ChatGPT (GPT-4) LlaMA-2, 22 experts reviewed the responses. successfully extracted CDR instances with dates...
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To describe the natural history of primary inner ear schwannomas over a long follow-up period.Retrospective case series.Tertiary referral center.Patients with serial audiometric and radiologic follow-up.Patterns hearing loss, rate decline, presence vestibular symptoms, tumor growth.A total 12 patients 13 tumors were identified. The mean duration was 7 years. Forty-six percent intracochlear, 15% intravestibular, 23% transmodiolar, intravestibular-cochlear. Hearing loss most common presenting...
Abstract Background Large language models (LLMs) provide powerful natural processing capabilities in medical and clinical tasks. Evaluating LLM performance is crucial due to potential false results. In this study, we assessed ChatGPT Llama2, two state‐of‐the‐art LLMs, extracting information from notes, focusing on cognitive tests, specifically the Mini Mental State Exam (MMSE) Cognitive Dementia Rating (CDR). Method We compiled a dataset consisting of 765 notes mentioning MMSE CDR. 22...