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ChatFFA: Interactive Visual Question Answering on Fundus Fluorescein Angiography Image Using ChatGPT

https://doi.org/10.2139/ssrn.4578568
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9/9 checkable references clean · checked 2026-08-28

Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.

21 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.

The 9 checked references that resolve
resolves10.1016/j.artmed.2019.101758
Ophthalmic diagnosis using deep learning with fundus images – A critical review
resolves10.1111/aos.15110
Imaging diabetic retinal disease: clinical imaging requirements
resolves10.1007/s00417-019-04575-w
Multi-label classification of retinal lesions in diabetic retinopathy for automatic analysis of fundus fluorescein angiography based on deep learning
resolves10.1136/bjophthalmol-2022-321141
New meaning for NLP: the trials and tribulations of natural language processing with GPT-3 in ophthalmology
resolves10.1038/s41591-020-0842-3
A deep learning system for differential diagnosis of skin diseases
resolves10.1097/JTO.0b013e318200f983
Measures of Interrater Agreement
resolves10.1371/journal.pone.0290315
Image to English translation and comprehension: INT2-VQA method based on inter-modality and intra-modality collaborations
resolves10.1001/jamanetworkopen.2023.30320
Comparison of Ophthalmologist and Large Language Model Chatbot Responses to Online Patient Eye Care Questions
resolves10.1038/s41591-020-0942-0
Human–computer collaboration for skin cancer recognition
The 21 references without a DOI — listed, not checked
no DOI — not checkedAutomatic interpretation and clinical evaluation for fundus fluorescein angiography images of diabetic retinopathy patients by deep learning
no DOI — not checkedref6
no DOI — not checkedref8
no DOI — not checkedref9
no DOI — not checkedref10
no DOI — not checkedref11
no DOI — not checkedref12
no DOI — not checkedBLEU: a method for automatic evaluation of machine translation
no DOI — not checkedref14
no DOI — not checkedROUGE: a Package for Automatic Evaluation of Summaries
no DOI — not checkedMedical Visual Question Answering: A Survey
no DOI — not checkedref18
no DOI — not checkedA Bi-level representation learning model for medical visual question answering
no DOI — not checkedOne-shot retinal artery and vein segmentation via cross-modality pretraining
no DOI — not checkedTranslation of Color Fundus Photography into Fluorescein Angiography using Deep Learning for Enhanced Diabetic Retinopathy Screening
no DOI — not checkedref22
no DOI — not checkedref24
no DOI — not checkedref25
no DOI — not checkedPerformance of an Artificial Intelligence Chatbot in Ophthalmic Knowledge Assessment
no DOI — not checkedBenchmarking large language models' performances for myopia care: a comparative analysis of ChatGPT-3.5, ChatGPT-4.0, and Google Bard
no DOI — not checkedUtility of ChatGPT in Clinical Practice
What this badge says. CiteStamped means the CHECKABLE references of this work were clean at the dated check: each resolved to a known work in a public registry, and none carried a retraction notice at that time. It says nothing about the quality, findings, or importance of the work itself, and nothing about references deposited without a DOI.

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