Work

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

Year: 2023

Type: article

Abstract: Musculoskeletal disorders like lower back, knee, and shoulder pain create a substantial health burden in developed countries—affecting function, mobility, and quality of life1. These conditions are often multifactorial and require clinicians to thoroughly assess their cause to decide on appropriate investigative and treatment approaches. However, the electronic health-care record does not explicitly capture pain characteristics within ICD-10 billing codes, making time-consuming and error-prone retrospective chart review necessary.

Source: The Lancet Digital Health

DOI: 10.1016/s2589-7500(23)00202-9

Authors: Akhil Vaid, Isotta Landi, Girish Nadkarni, Ismail Nabeel

Institution: Icahn School of Medicine at Mount Sinai

Language: English

Topic: Machine Learning in Healthcare

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: gold

Estimated APC paid: $5,780