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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...

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...

How do you solve the problem of trachoma in Ethiopia?

Background Trachoma is one of the oldest diseases known to humankind and the leading infectious cause of blindness worldwide. Spread by the bacterium chlamydia trachomatis, it is transmitted through contact with the eyes, eyelids and nose of those infected. The...

Blinded by an Ofsted inspection

Introduction The Association of Health Professions in Ophthalmology (AHPO) is a charity, whose objectives are to promote the practice, education, training and research in ophthalmology and vision science in the UK. The extraordinary developments in diagnostic equipment and technologies have...

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...