首页|Dunedin Hospital Reports Findings in Artificial Intelligence (A comparative eval uation of deep learning approaches for ophthalmology)
Dunedin Hospital Reports Findings in Artificial Intelligence (A comparative eval uation of deep learning approaches for ophthalmology)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Artificial Intelligenc e is the subject of a report. According to news originating from Dunedin, New Ze aland, by NewsRx correspondents, research stated, "There is a growing number of publicly available ophthalmic imaging datasets and open-source code for Machine Learning algorithms. This Allows ophthalmic researchers and practitioners to ind ependently perform various deeplearning tasks." Our news journalists obtained a quote from the research from Dunedin Hospital, " With the advancement in artificial intelligence (AI) and in the field of imaging , the choice of the most appropriate AI architecture for different tasks will va ry greatly. The best-performing AI-dataset combination will depend on the specif ic problem that needs to be solved and the type of data available. The article d iscusses different machine learning models and deep learning architectures curre ntly used for various ophthalmic imaging modalities and for different machine le arning tasks. It also proposes the most appropriate models based on accuracy and other important factors such as training time, the ability to deploy the model on clinical devices/smartphones, heatmaps that enhance the self-explanatory natu re of classification decisions, and the ability to train/adapt on smAll image da tasets to determine if further data collection is worthwhile. The article extens ively reviews the existing state-of-the-art AI methods focused on useful machine -learning applications for ophthalmology. It estimates their performance and via bility through training and evaluating architectures with different public and p rivate image datasets of different modalities, such as full-color retinal images , OCT images, and 3D OCT scans."
DunedinNew ZealandAustralia and New ZealandArtificial IntelligenceCyborgsEmerging TechnologiesHealth and Med icineMachine LearningOphthalmology
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