AIMC Topic: Diagnostic Techniques, Ophthalmological
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Effectiveness of smartphone technology for detection of paediatric ocular diseases-a systematic review.
BMC ophthalmology
May 30, 2025
BACKGROUND: Artificial intelligence has become part of healthcare with a multitude of applications being customized to roles required in clinical practice. There has been an expanding growth and development of computer technology with increasing appe...
Performance of a novel multimodal large language model in ınterpreting meibomian glands quantitatively and qualitatively.
International ophthalmology
May 28, 2025
PURPOSE: To evaluate the performance of a multimodal large language model (LLM), Claude 3.5 Sonnet, in interpreting meibography images for Meibomian gland dropout grading and morphological abnormality detection.
Advancements in artificial intelligence for the diagnosis and management of anterior segment diseases.
Current opinion in ophthalmology
Apr 21, 2025
PURPOSE OF REVIEW: The integration of artificial intelligence (AI) in the diagnosis and management of anterior segment diseases has rapidly expanded, demonstrating significant potential to revolutionize clinical practice.
Using 3D Convolutional Neural Network and Corvis ST Corneal Dynamic Video for Detecting Forme Fruste Keratoconus.
Journal of refractive surgery (Thorofare, N.J. : 1995)
Apr 1, 2025
PURPOSE: To evaluate the performance of a three-dimensional convolutional neural network (3D CNN) in detecting forme fruste keratoconus (FFKC).
Performance of a Deep Learning Diabetic Retinopathy Algorithm in India.
JAMA network open
Mar 3, 2025
IMPORTANCE: While prospective studies have investigated the accuracy of artificial intelligence (AI) for detection of diabetic retinopathy (DR) and diabetic macular edema (DME), to date, little published data exist on the clinical performance of thes...
Internal validation of a convolutional neural network pipeline for assessing meibomian gland structure from meibography.
Optometry and vision science : official publication of the American Academy of Optometry
Jan 13, 2025
SIGNIFICANCE: Optimal meibography utilization and interpretation are hindered due to poor lid presentation, blurry images, or image artifacts and the challenges of applying clinical grading scales. These results, using the largest image dataset analy...
Smartphone pupillometry with machine learning differentiates ischemic from hemorrhagic stroke: A pilot study.
Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association
Dec 12, 2024
OBJECTIVES: Similarities between acute ischemic and hemorrhagic stroke make diagnosis and triage challenging. We studied a smartphone-based quantitative pupillometer for differentiation of acute ischemic and hemorrhagic stroke.
Artificial intelligence in ophthalmology.
Current opinion in ophthalmology
Nov 27, 2024
PURPOSE OF REVIEW: To review role of artificial intelligence in medicine.
Applications of artificial intelligence to inherited retinal diseases: A systematic review.
Survey of ophthalmology
Nov 19, 2024
Artificial intelligence(AI)-based methods have been extensively used for the detection and management of various common retinal conditions, but their targeted development for inherited retinal diseases (IRD) is still nascent. In the context of limite...
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.
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