Back to search

Article

LLMs and Stargardt’s Disease

2025-09-04

Abstract excerpt

<h4>Background: </h4> /Objective: Stargardt&#039;s disease is the most common form of inherited juvenile macular degeneration affecting 1 in 8,000-10,000 individuals worldwide, with a slight predominance towards females. As large language models (LLMs) increasingly serve as sources of health information, understanding their effectiveness in providing accurate information about rare genetic conditions becomes essen...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
941a6059-129f-552b-8a4f-756b8fcab649
DOI
10.20944/preprints202509.0474.v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
LLMs and Stargardt’s DiseaseDOI 10.20944/preprints202509.0474.v1
Exploring the Role of ChatGPT-4, BingAI, and Gemini as Virtual Consultants to Educate Families about Retinopathy of PrematuritySemantic proximity
Completeness and Quality of Neurology Referral Letters Generated by a Large Language Model for Standardized ScenariosSemantic proximity
Divergence Between Clinical Accuracy and Readability in Large Language Models: A Comparative Study in HypogonadismSemantic proximity
ChatGPT Assisting Diagnosis of Neuro-ophthalmology Diseases Based on Case ReportsSemantic proximity
Expert evaluation and readability of conversational AI responses to common ophthalmic patient questions: an exploratory generational cross-sectional studySemantic proximity
Large Language Models as Ophthalmic Patient Educators: A Comparative Evaluation of Readability, Understandability, and ActionabilitySemantic proximity
ChatGPT 3.5 and 4.0: A Head to Head Comparison in Generating Pharyngitis Patient GuidesSemantic proximity
Benchmarking the Performance of Large Language Models in Uveitis: A Comparative Analysis of ChatGPT-3.5, ChatGPT-4.0, Google Gemini, and Anthropic Claude3Semantic proximity
Can Large Language Models Aid Caregivers of Pediatric Cancer Patients in Information Seeking? A Cross-Sectional InvestigationSemantic proximity
A Seven-Year Retrospective Assessment Evaluating the Effectiveness of Electronic Consultation (e-Consult) Service in GeneticsSemantic proximity
Developing and evaluating rare disease educational materials co-created by expert clinicians and patients: the paradigm of congenital hypogonadotropic hypogonadismSemantic proximity
Utilizing AI-Generated Plain Language Summaries to Enhance Interdisciplinary Understanding of Ophthalmology Notes: A Randomized TrialSemantic proximity
Select a neighboring publication to make it the new centre.