Trí tuệ nhân tạo trong chẩn đoán hình ảnh võng mạc ở bệnh nhân tiểu đường trên phone - ArtificialIntelligence analysis of the Fundus on Phone retinal images are tested to have very high sensitivity for detecting diabetic retinopathy
Automated #ArtificialIntelligence analysis of the Fundus on Phone retinal images are tested to have very high sensitivity for detecting diabetic retinopathy.
Here is an example video of Artificial Intelligence Powered Remidio's Non-Mydratic Fundus on Phone device providing automated DR screening on the phone. EyeArt, the AI Algorithm used shows 99.1% Sensitivity for detecting Sight-Threatening DR (STDR).
Independently, Remidio's Fundus on Phone device has also been shown to have a clinical specificity of 98% and a sensitivity of 93% for detecting any DR when compared to the desktop Zeiss FF450 retinal imaging device, using Ophthalmic graders to grade images taken on the same patient on both devices.
Here is an example video of Artificial Intelligence Powered Remidio's Non-Mydratic Fundus on Phone device providing automated DR screening on the phone. EyeArt, the AI Algorithm used shows 99.1% Sensitivity for detecting Sight-Threatening DR (STDR).
Independently, Remidio's Fundus on Phone device has also been shown to have a clinical specificity of 98% and a sensitivity of 93% for detecting any DR when compared to the desktop Zeiss FF450 retinal imaging device, using Ophthalmic graders to grade images taken on the same patient on both devices.
Trí tuệ nhân tạo trong chẩn đoán hình ảnh võng mạc ở bệnh nhân tiểu đường trên phone - ArtificialIntelligence analysis of the Fundus on Phone retinal images are tested to have very high sensitivity for detecting diabetic retinopathy
Reviewed by Thamkhaoyhoc
on
tháng 7 04, 2018
Rating:
Reviewed by Thamkhaoyhoc
on
tháng 7 04, 2018
Rating:
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