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Related Concept Videos

Glaucoma: Overview01:25

Glaucoma: Overview

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Glaucoma is an eye condition characterized by increased intraocular pressure that damages the retina and optic nerve, leading to irreversible blindness if left untreated. The human eye has various components, including the cornea, iris, pupil, lens, and optic nerve. Aqueous humor is secreted by the epithelium of the ciliary body in the posterior chamber and flows through the trabecular meshwork and canal of Schlemm, maintaining normal intraocular pressure. The trabecular meshwork and the canal...
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In open-angle glaucoma, the iridocorneal angle remains open, but the trabecular meshwork becomes stiff, slowing down the outflow of aqueous humor. This causes a buildup of aqueous humor in the anterior chamber, leading to a sudden increase in intraocular pressure. The treatment for open-angle glaucoma focuses on reducing the elevated intraocular pressure by either decreasing the secretion of aqueous humor or increasing its outflow.
Drugs such as carbonic anhydrase inhibitors, α2- and...
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Angle Closure Glaucoma: Treatment01:28

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Angle-closure glaucoma, or closed-angle glaucoma, is an eye condition where the iris bulges out and blocks the iridocorneal angle, resulting in a buildup of aqueous humor and increased intraocular pressure. Immediate medical attention is necessary due to the sudden onset of symptoms. The treatment for angle-closure glaucoma includes short-term and long-term approaches. Short-term treatment involves using eye drops like pilocarpine to lower intraocular pressure by increasing aqueous humor...
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Using Large Language Models to Generate Educational Materials on Childhood Glaucoma.

Qais Dihan1, Muhammad Z Chauhan2, Taher K Eleiwa3

  • 1Chicago Medical School (Q.D.), Rosalind Franklin University of Medicine and Science, North Chicago, Illinois, USA; Department of Ophthalmology (Q.D., M.Z.C., A.B.S., A.M.E.), Harvey and Bernice Jones Eye Institute, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA.

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Summary

Large language models (LLMs) generate high-quality patient education materials on childhood glaucoma. ChatGPT-4 demonstrated superior readability and accuracy, effectively improving online information accessibility.

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Area of Science:

  • Ophthalmology
  • Medical Informatics
  • Artificial Intelligence in Healthcare

Background:

  • Patient education materials (PEMs) are crucial for managing childhood glaucoma.
  • Existing online information may have suboptimal readability, hindering patient comprehension.
  • Large language models (LLMs) offer potential for generating and improving medical content.

Purpose of the Study:

  • To assess the quality, readability, and accuracy of LLM-generated PEMs for childhood glaucoma.
  • To evaluate LLMs' effectiveness in enhancing the readability of existing online resources.
  • To compare the performance of different LLMs (ChatGPT-3.5, ChatGPT-4, Bard) in creating accessible patient information.

Main Methods:

  • A cross-sectional comparative study evaluated LLM-generated PEMs using specific prompts for understandability and grade-level reading.
  • Quality was assessed via the DISCERN questionnaire and Patient Education Materials Assessment Tool (PEMAT).
  • Readability was measured using the Simple Measure of Gobbledygook (SMOG) and Flesch-Kincaid Grade Level (FKGL) formulas. Accuracy was evaluated using a Likert Misinformation scale. LLMs also rewrote existing online resources.

Main Results:

  • All tested LLMs produced high-quality, understandable, and accurate PEMs for childhood glaucoma.
  • PEMs generated with specific grade-level prompts (Prompt B) showed significantly improved readability compared to general prompts (Prompt A).
  • ChatGPT-4 consistently produced the most readable content and was the only model to achieve the target 6th-grade reading level when rewriting existing materials.

Conclusions:

  • LLMs show significant promise as tools for creating high-quality, accurate patient education materials on childhood glaucoma.
  • These models can effectively enhance the readability of existing online health information.
  • ChatGPT-4 demonstrates a particular strength in generating accessible and scientifically sound patient education content.