AIMC Topic: Eye Diseases
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Generative artificial intelligence in ophthalmology.
Survey of ophthalmology
May 16, 2024
Generative artificial intelligence (AI) has revolutionized medicine over the past several years. A generative adversarial network (GAN) is a deep learning framework that has become a powerful technique in medicine, particularly in ophthalmology for i...
OpenAI's Sora in ophthalmology: revolutionary generative AI in eye health.
Eye (London, England)
Apr 30, 2024
Clinical applicability of AI-based prognosis prediction for a rare ocular surface disease.
Allergy
Apr 25, 2024
Artificial intelligence chatbot interpretation of ophthalmic multimodal imaging cases.
Eye (London, England)
Apr 22, 2024
Multimodality Fusion Strategies in Eye Disease Diagnosis.
Journal of imaging informatics in medicine
Apr 19, 2024
Multimodality fusion has gained significance in medical applications, particularly in diagnosing challenging diseases like eye diseases, notably diabetic eye diseases that pose risks of vision loss and blindness. Mono-modality eye disease diagnosis p...
Advancements and turning point of artificial intelligence in ophthalmology: A comprehensive analysis of research trends and collaborative networks.
Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians (Optometrists)
Apr 6, 2024
Artificial intelligence (AI) has emerged as a transformative force with great potential in various fields, including healthcare. In recent years, AI has garnered significant attention due to its potential to revolutionise ophthalmology, leading to ad...
Comparison of veterinarians and a deep learning tool in the diagnosis of equine ophthalmic diseases.
Equine veterinary journal
Apr 3, 2024
BACKGROUND/OBJECTIVES: The aim was to compare ophthalmic diagnoses made by veterinarians to a deep learning (artificial intelligence) software tool which was developed to aid in the diagnosis of equine ophthalmic diseases. As equine ophthalmology is ...
A systematic review of economic evaluation of artificial intelligence-based screening for eye diseases: From possibility to reality.
Survey of ophthalmology
Mar 15, 2024
Artificial Intelligence (AI) has become a focus of research in the rapidly evolving field of ophthalmology. Nevertheless, there is a lack of systematic studies on the health economics of AI in this field. We examine studies from the PubMed, Google Sc...
Reliability and accuracy of artificial intelligence ChatGPT in providing information on ophthalmic diseases and management to patients.
Eye (London, England)
Jan 20, 2024
PURPOSE: To assess the accuracy of ophthalmic information provided by an artificial intelligence chatbot (ChatGPT).
Recognition of eye diseases based on deep neural networks for transfer learning and improved D-S evidence theory.
BMC medical imaging
Jan 18, 2024
BACKGROUND: Human vision has inspired significant advancements in computer vision, yet the human eye is prone to various silent eye diseases. With the advent of deep learning, computer vision for detecting human eye diseases has gained prominence, bu...
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