Publications by authors named "S Andalib"
This study evaluates the efficacy of GPT-4, a Large Language Model, in simplifying medical literature for enhancing patient comprehension in glaucoma care. GPT-4 was used to transform published abstracts from 3 glaucoma journals (n = 62) and patient education materials (Patient Educational Model [PEMs], n = 9) to a 5th-grade reading level. GPT-4 was also prompted to generate de novo educational outputs at 6 different education levels (5th Grade, 8th Grade, High School, Associate's, Bachelor's and Doctorate).
View Article and Find Full Text PDFBackground: This study assesses the effectiveness of large language models (LLMs) in simplifying complex language within orthopaedic patient education materials (PEMs) and identifies predictive factors for successful text transformation.
Methods: We transformed 48 orthopaedic PEMs using GPT-4, GPT-3.5, Claude 2, and Llama 2.
Article Synopsis
- The study evaluated how well ChatGPT-4 can simplify complex medical texts for better patient understanding, focusing on neurology and neurosurgery.
- Readability scores significantly improved, dropping from high school levels to a 5th grade reading level, indicating enhanced accessibility for patients.
- Although content preservation was generally high and validated through expert assessments, the effectiveness of similarity analysis using Latent Semantic Analysis (LSA) decreased for longer texts, suggesting limitations in its accuracy for larger documents.
Background: Caring for COVID-19 patients has caused high stress and burnses. Therefore, the current research aims to develop and validate an educational-therapeutic package based on psychological flexibility for COVID-19 nurses.
Materials And Methods: The approach of this research was Exploratory Sequential Mixed Method, which was carried out in 2019 to 2021.
Background: Although uncertainties exist regarding implementation, artificial intelligence-driven generative language models (GLMs) have enormous potential in medicine. Deployment of GLMs could improve patient comprehension of clinical texts and improve low health literacy.
Objective: The goal of this study is to evaluate the potential of ChatGPT-3.