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When the chatbot gets it wrong: Navigating AI-generated health misinformation in ophthalmology
Patients are beginning to turn to large language model chatbots for healthcare information. As clinicians, we are not only required to know when they are wrong, but why they are wrong – and what we can do about it. Recently,...
Amblyopia information provided by chatbots – how readable and understandable is this?
The purpose of this study was to evaluate the understandability, actionability and readability of responses to frequently asked questions about amblyopia provided by ChatGPT-3.5, Bing Chat, Bard and the American Association for Pediatric Ophthalmology and Strabismus (AAPOS) website, along with...
ChatGPT response accuracy for amblyopia and childhood myopia questions
With the increasing use of ChatGPT by the public to obtain information, the authors of this study aimed to critically evaluate the scientific quality of the responses to frequently asked questions about amblyopia and childhood myopia. They submitted 27 and...
Accuracy of AI chatbots in providing reliable paediatric ophthalmology responses
The authors aimed to explore the strengths and weaknesses of 2 different large language model (LLM) chatbots (ChatGPT4.0 and DeepSeek-RI) in providing reliable and access information about paediatric ophthalmology. The study used 44 multiple choice questions covering topics from the...Artificial intelligence could transform patient education in eyecare
A multilingual, voice-enabled chatbot helps patients access retinal detachment advice through personalised, real-time, clinically grounded conversations. From hospital leaflets to spoken answers in dozens of languages, new research from the University of East London (UEL) suggests artificial intelligence could dramatically...Hype or helpful: ChatGPT
It would have been hard to miss all the attention chatbots have received over the last few months. Whilst ChatGPT is easily the most well-known example of the large language models that have become so widespread of late, artificial intelligence...House of cards
When I was a junior doctor in the late 1990s writing my first scientific papers, once each article was finished, I had to fill out an application form, print out multiple copies and then walk to the post office at...ChatGPT cannot pass FRCOphth examinations: implications for ophthalmology and large language model artificial intelligence
Large language models are generating a lot of hype for artificial intelligence, but can they assist patients and practitioners in ophthalmology? Introduction Deep learning (DL) has emerged in ophthalmology as an exciting form of artificial intelligence (AI) most commonly applied...
Quality and readability of English and Spanish patient educational materials generated by AI
This study evaluated the quality and readability of ChatGPT-generated patient educational materials for 4 common paediatric ophthalmology procedures, in both English and Spanish languages. Responses were compared to the American Association for Pediatric Ophthalmology and Strabismus (AAPOS) patient handouts. The...Artificial intelligence in glaucoma: Assessing applications instead of technology
Much is said about the potential of artificial intelligence (AI) to transform clinical practice, particularly with the advent of foundation models [1]. The newest models are ‘pretrained’ on text, image, tabular and other forms of data to produce architectures that...General purpose AI: Transitioning from high performance in highly curated settings to useful applications in ophthalmology
Artificial intelligence (AI) may be understood as the ability of machines to perform tasks which otherwise require human perception, reasoning, or learning. With the advent of deep learning, AI has achieved remarkable results across a wide range of medical tasks...
