AIMC Topic: Eye Diseases
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Artificial intelligence applications in ophthalmic surgery.
Current opinion in ophthalmology
Aug 14, 2024
PURPOSE OF REVIEW: Technologies in healthcare incorporating artificial intelligence tools are experiencing rapid growth in static-image-based applications such as diagnostic imaging. Given the proliferation of artificial intelligence (AI)-technologie...
Artificial Intelligence and Ophthalmic Clinical Registries.
American journal of ophthalmology
Aug 5, 2024
PURPOSE: The recent advances in artificial intelligence (AI) represent a promising solution to increasing clinical demand and ever limited health resources. Whilst powerful, AI models require vast amounts of representative training data to output mea...
Artificial Intelligence for Early Detection of Pediatric Eye Diseases Using Mobile Photos.
JAMA network open
Aug 1, 2024
IMPORTANCE: Identifying pediatric eye diseases at an early stage is a worldwide issue. Traditional screening procedures depend on hospitals and ophthalmologists, which are expensive and time-consuming. Using artificial intelligence (AI) to assess chi...
AI in Neuro-Ophthalmology: Current Practice and Future Opportunities.
Journal of neuro-ophthalmology : the official journal of the North American Neuro-Ophthalmology Society
Jul 5, 2024
BACKGROUND: Neuro-ophthalmology frequently requires a complex and multi-faceted clinical assessment supported by sophisticated imaging techniques in order to assess disease status. The current approach to diagnosis requires substantial expertise and ...
Adherence of studies involving artificial intelligence in the analysis of ophthalmology electronic medical records to AI-specific items from the CONSORT-AI guideline: a systematic review.
Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie
Jul 2, 2024
PURPOSE: In the context of ophthalmologic practice, there has been a rapid increase in the amount of data collected using electronic health records (EHR). Artificial intelligence (AI) offers a promising means of centralizing data collection and analy...
Automated classification of multiple ophthalmic diseases using ultrasound images by deep learning.
The British journal of ophthalmology
Jun 20, 2024
BACKGROUND: Ultrasound imaging is suitable for detecting and diagnosing ophthalmic abnormalities. However, a shortage of experienced sonographers and ophthalmologists remains a problem. This study aims to develop a multibranch transformer network (MB...
Future directions of generative artificial intelligence in ophthalmology and vision science.
Survey of ophthalmology
Jun 14, 2024
Privacy-Preserving Federated Learning With Domain Adaptation for Multi-Disease Ocular Disease Recognition.
IEEE journal of biomedical and health informatics
Jun 6, 2024
As one of the effective ways of ocular disease recognition, early fundus screening can help patients avoid unrecoverable blindness. Although deep learning is powerful for image-based ocular disease recognition, the performance mainly benefits from a ...
Fairer AI in ophthalmology via implicit fairness learning for mitigating sexism and ageism.
Nature communications
Jun 4, 2024
The transformative role of artificial intelligence (AI) in various fields highlights the need for it to be both accurate and fair. Biased medical AI systems pose significant potential risks to achieving fair and equitable healthcare. Here, we show an...
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...
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