AIMC Topic: Ophthalmology
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Novel technical and privacy-preserving technology for artificial intelligence in ophthalmology.
Current opinion in ophthalmology
Mar 9, 2022
PURPOSE OF REVIEW: The application of artificial intelligence (AI) in medicine and ophthalmology has experienced exponential breakthroughs in recent years in diagnosis, prognosis, and aiding clinical decision-making. The use of digital data has also ...
Development of a code-free machine learning model for the classification of cataract surgery phases.
Scientific reports
Feb 14, 2022
This study assessed the performance of automated machine learning (AutoML) in classifying cataract surgery phases from surgical videos. Two ophthalmology trainees without coding experience designed a deep learning model in Google Cloud AutoML Video C...
Trustworthy AI: Closing the gap between development and integration of AI systems in ophthalmic practice.
Progress in retinal and eye research
Dec 10, 2021
An increasing number of artificial intelligence (AI) systems are being proposed in ophthalmology, motivated by the variety and amount of clinical and imaging data, as well as their potential benefits at the different stages of patient care. Despite a...
Determination of probability of causative pathogen in infectious keratitis using deep learning algorithm of slit-lamp images.
Scientific reports
Nov 22, 2021
Corneal opacities are important causes of blindness, and their major etiology is infectious keratitis. Slit-lamp examinations are commonly used to determine the causative pathogen; however, their diagnostic accuracy is low even for experienced ophtha...
Emergence of non-artificial intelligence digital health innovations in ophthalmology: A systematic review.
Clinical & experimental ophthalmology
Jul 16, 2021
The prominent rise of digital health in ophthalmology is evident in the current age of Industry 4.0. Despite the many facets of digital health, there has been a greater slant in interest and focus on artificial intelligence recently. Other major elem...
Economic Evaluations of Artificial Intelligence in Ophthalmology.
Asia-Pacific journal of ophthalmology (Philadelphia, Pa.)
Jul 13, 2021
Artificial intelligence (AI) is expected to cause significant medical quality enhancements and cost-saving improvements in ophthalmology. Although there has been a rapid growth of studies on AI in the recent years, real-world adoption of AI is still ...
A Review of Robotic and OCT-Aided Systems for Vitreoretinal Surgery.
Advances in therapy
Apr 3, 2021
The introduction of the intraocular vitrectomy instrument by Machemer et al. has led to remarkable advancements in vitreoretinal surgery enabling the limitations of human physiologic capabilities to be reached. To overcome the barriers of perception,...
Artificial Intelligence (AI) and Retinal Optical Coherence Tomography (OCT).
Seminars in ophthalmology
Mar 18, 2021
Ophthalmology has been at the forefront of medical specialties adopting artificial intelligence. This is primarily due to the "image-centric" nature of the field. Thanks to the abundance of patients' OCT scans, analysis of OCT imaging has greatly ben...
Ophthalmology and the emergence of artificial intelligence.
The Medical journal of Australia
Feb 14, 2021
Application of Machine Learning to Predict Patient No-Shows in an Academic Pediatric Ophthalmology Clinic.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Jan 25, 2021
Patient "no-shows" are missed appointments resulting in clinical inefficiencies, revenue loss, and discontinuity of care. Using secondary electronic health record (EHR) data, we used machine learning to predict patient no-shows in follow-up and new p...
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