NEW YORK--(BUSINESS WIRE)--iPredictTM late Stroke prediction model provides a fully automated prediction score for incident stroke and identifies the individuals who are at risk of stroke within 5-years. These results were presented at the international conference: Society for Brain Mapping and Therapeutics World Congress and show that the prediction model may help prevent stroke, saving millions of people from death or disability.<\/p>\n
Once high-resolution images of the patients eyes have been captured using a color fundus camera and submitted to the iPredictTM AI System, the stroke prediction results are available in a fully automated report in less than 60 seconds. The entire test can easily and reliably be completed within 5 minutes.<\/p>\n
This prediction model offers an overall accuracy of 82.4% for identifying an individual at risk of having an incident stroke within 5-years.<\/p>\n
iPredict achieved higher accuracy than existing stroke prediction models such as Framingham and Chads scores (iPredict-stroke accuracy 82.4% compared to Framingham score 64.9%, and the CHADS2VASC score achieved 63.8% accuracy respectively on the same dataset).<\/p>\n
iPredicts stroke model can be used to alert physicians of the need to take further preventive measures for these patients in the primary care setting.<\/p>\n
The company also has AI-based screening tools for early diagnosis of diabetic retinopathy (DR), age-related macular degeneration (AMD), and glaucoma which are CE certified and TGA\/Australian health approved.<\/p>\n
iHealthScreen company is open to partnerships for distribution and\/or co-development of its products in various territories. For more information: https:\/\/www.iHealthScreen.org<\/a><\/p>\n <\/p>\n Read the rest here: <\/p>\n iHealthScreen Inc. Introduces An Automated Stroke Prediction Model, based on AI and Color Fundus Imaging - Business Wire<\/a><\/p>\n","protected":false},"excerpt":{"rendered":" NEW YORK--(BUSINESS WIRE)--iPredictTM late Stroke prediction model provides a fully automated prediction score for incident stroke and identifies the individuals who are at risk of stroke within 5-years. These results were presented at the international conference: Society for Brain Mapping and Therapeutics World Congress and show that the prediction model may help prevent stroke, saving millions of people from death or disability. Continue reading