Post

New research · Ophthalmology
Indian journal of ophthalmology · 23h
AI / informaticsIndian journal of ophthalmology · 2026

The role of artificial intelligence in academic citation: A study on lens, cataract, and anterior segment research.

Mustafa Civelekler, Mehmet Çıtırık
Read paper
OphthalmologyAI / informatics

DeepSeek showed 52.5% accuracy in generating PubMed citations for ophthalmic literature.

The role of artificial intelligence in academic citation: A study on lens, cataract, and anterior segment research.

Mustafa Civelekler et al. · Indian journal of ophthalmology · 2026
Purpose

To evaluate the accuracy and reliability of four artificial intelligence (AI) models-ChatGPT, Copilot, DeepSeek, and Gemini-in generating PubMed citations for literature related to lens disease, cataracts, iris disorders, and anterior chamber pathology.

Methods

Comparative accuracy assessment study.

Results
DeepSeek accurately generated 52.5% of PubMed citations for ophthalmic literature.
More results

The citation accuracy varied significantly among the models.

DOI mismatches were the most common errors across all models.

Expert validation confirmed these findings, with DeepSeek producing the highest number of fully cited references.

Inter-rater agreement was substantial (Cohen's κ = 0.65).

“
Conclusion · 1 of 3

Domain-specific AI models, particularly DeepSeek, outperform general-purpose models in generating PubMed citations from ophthalmic literature.

Conclusion · 2 of 3

However, all the evaluated models exhibited citation errors, underscoring the necessity of human verification.

Conclusion · 3 of 3

AI tools may enhance academic workflows as assistive systems but should not be used autonomously for reference generation in medical research.

Read paper
0 comments

No comments yet. Be the first.

Related papers

LatestFoundational
Cohort Study
median 9
optometry referrals contained more complete documentation for glaucoma
Study
71.27%
medical students' higher accuracy in identifying eye infections after artificial intelligence training
Cross-sectional
64%
most patients reported little difficulty with their eye injections
Cross-sectional
37%
Only 37% of primary care providers and endocrinologists correctly identified diabetic retinopathy status.
Randomized Trial
adjusted difference -4.97
Baduanjin exercise led to a better overall quality of life than routine care
Study
58.26%
Qwen-7B correctly found eye diseases in over half of cases without specific training
Case Report
24 months
the patient's eye cancer remained gone for this period after treatment
Study
Mean 184 vs. 137
Residents in subsidized programs performed more cataract surgeries as primary surgeon.