AIMC Topic: Eye Diseases
Clear Filters Showing 11 to 20 of 118 articles
Success History Adaptive Competitive Swarm Optimizer with Linear Population Reduction: Performance benchmarking and application in eye disease detection.
Computers in biology and medicine
Jan 2, 2025
Eye disease detection has achieved significant advancements thanks to artificial intelligence (AI) techniques. However, the construction of high-accuracy predictive models still faces challenges, and one reason is the deficiency of the optimizer. Thi...
Artificial intelligence virtual assistants in primary eye care practice.
Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians (Optometrists)
Dec 26, 2024
PURPOSE: To propose a novel artificial intelligence (AI)-based virtual assistant trained on tabular clinical data that can provide decision-making support in primary eye care practice and optometry education programmes.
Optimizing autonomous artificial intelligence diagnostics for neuro-ocular health in space missions.
Life sciences in space research
Dec 25, 2024
Spaceflight-Associated Neuro-Ocular Syndrome (SANS) presents a critical risk in long-duration missions, with microgravity-induced changes that threaten astronaut vision and mission outcomes. Current SANS monitoring, limited to pre- and post-flight ex...
Artificial intelligence in ophthalmology.
Current opinion in ophthalmology
Nov 27, 2024
PURPOSE OF REVIEW: To review role of artificial intelligence in medicine.
Performance of ChatGPT in Ophthalmic Registration and Clinical Diagnosis: Cross-Sectional Study.
Journal of medical Internet research
Nov 14, 2024
BACKGROUND: Artificial intelligence (AI) chatbots such as ChatGPT are expected to impact vision health care significantly. Their potential to optimize the consultation process and diagnostic capabilities across range of ophthalmic subspecialties have...
Linking Protein Stability to Pathogenicity: Predicting Clinical Significance of Single-Missense Mutations in Ocular Proteins Using Machine Learning.
International journal of molecular sciences
Oct 30, 2024
Understanding the effect of single-missense mutations on protein stability is crucial for clinical decision-making and therapeutic development. The impact of these mutations on protein stability and 3D structure remains underexplored. Here, we develo...
Application of Artificial Intelligence in the Diagnosis, Follow-Up and Prediction of Treatment of Ophthalmic Diseases.
Seminars in ophthalmology
Oct 22, 2024
PURPOSE: To describe the application of artificial intelligence (AI) in ophthalmic diseases and its possible future directions.
A multi-class fundus disease classification system based on an adaptive scale discriminator and hybrid loss.
Computational biology and chemistry
Oct 11, 2024
Fundus images are crucial in the observation and detection of ophthalmic diseases. However, detecting multiple ophthalmic diseases from fundus images using deep learning techniques is a complex and challenging task One challenge is the complexity of ...
Generative artificial intelligence in ophthalmology: current innovations, future applications and challenges.
The British journal of ophthalmology
Sep 20, 2024
The rapid advancements in generative artificial intelligence are set to significantly influence the medical sector, particularly ophthalmology. Generative adversarial networks and diffusion models enable the creation of synthetic images, aiding the d...
Integrating AI with tele-ophthalmology in Canada: a review.
Canadian journal of ophthalmology. Journal canadien d'ophtalmologie
Sep 7, 2024
The field of ophthalmology is rapidly advancing, with technological innovations enhancing the diagnosis and management of eye diseases. Tele-ophthalmology, or the use of telemedicine for ophthalmology, has emerged as a promising solution to improve a...
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