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Using fine-tuned large language models to parse clinical notes in musculoskeletal pain disorders.

作者信息

Vaid Akhil, Landi Isotta, Nadkarni Girish, Nabeel Ismail

机构信息

The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA; The Division of Data Driven and Digital Medicine, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA.

The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA; The Division of Data Driven and Digital Medicine, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA.

出版信息

Lancet Digit Health. 2023 Oct 26. doi: 10.1016/S2589-7500(23)00202-9.


DOI:10.1016/S2589-7500(23)00202-9
PMID:39492289
Abstract
摘要

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[1]
Nurse Researchers' Experiences and Perceptions of Generative AI: Qualitative Semistructured Interview Study.

J Med Internet Res. 2025-8-25

[2]
Classification of musculoskeletal pain using machine learning.

Sci Rep. 2025-7-25

[3]
Implementing Large Language Models in Health Care: Clinician-Focused Review With Interactive Guideline.

J Med Internet Res. 2025-7-11

[4]
Foundation models and intelligent decision-making: Progress, challenges, and perspectives.

Innovation (Camb). 2025-5-12

[5]
How do GPs Want Large Language Models to be Applied in Primary Care, and What Are Their Concerns? A Cross-Sectional Survey.

J Eval Clin Pract. 2025-6

[6]
Exploring the Capacity of Large Language Models to Assess the Chronic Pain Experience: Algorithm Development and Validation.

J Med Internet Res. 2025-3-31

[7]
A scoping review on generative AI and large language models in mitigating medication related harm.

NPJ Digit Med. 2025-3-28

[8]
Evaluating the quality of medical content on YouTube using large language models.

Sci Rep. 2025-3-22

[9]
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[10]
Evaluation of the ability of large language models to self-diagnose oral diseases.

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