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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...

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...

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...

Accuracy of ChatGPT responses for questions about strabismus

This study aimed to assess the medical accuracy and readability of responses provided by ChatGPT in relation to patient/parent queries about strabismus. The authors compared responses from the free version (Chat 3.5) with those from a subscription service (version 4.0)....

Use of AI apps in providing information about paediatric ophthalmology

The authors evaluated the reliability and accuracy of responses given by 3 AI apps to questions related to paediatric ophthalmology. One-hundred multiple choice questions specific to paediatric ophthalmology were selected from the OphthoQuestions questionnaire bank (4551 questions on this platform)....

The next wave of AI in ophthalmology: From screening to communication

Artificial intelligence (AI) is reshaping ophthalmology, moving from research laboratories into everyday clinical care [1]. With its strong reliance on imaging and pattern recognition, ophthalmology is uniquely positioned to benefit from AI innovations. These developments range from autonomous disease screening...

Artificial intelligence in eyecare: how do we ensure new technologies truly benefit our patients?

From monitoring patients with heart disease to improving the early diagnosis of cancer, artificial intelligence (AI) using deep learning techniques is already employed in many different healthcare specialties [1]. In the eyecare field, AI technologies have been used to analyse...