A new AI tool called Mask-RCNN has been developed to help identify undiagnosed early-stage mild nonproliferative diabetic retinopathy. This tool shows promise in assisting diabetes patients by using computer vision technology to analyze retinal images and potentially improve healthcare outcomes.
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A new AI tool developed by Mount Sinai Health System is able to predict the onset of type 2 diabetes up to 10 years in advance based on electronic health records and laboratory results, potentially allowing for early intervention and prevention strategies. This AI tool, called the Deep Patient Representation of Electronic Health Records (DepHR), demonstrates the potential of artificial intelligence in revolutionizing the diabetes industry by providing personalized insights and predictions for both diabetes patients and healthcare providers.
Read moreArtificial Intelligence company Spectral AI has announced the advancement of their DeepView SnapShot M platform, with positive feedback received from Brooke Army Medical Center Institute of Surgical Research. This platform utilizes Machine Learning and Deep Learning to improve medical imaging analysis for diabetes patients, benefiting companies like Medtronic and consumers using diabetes products such as the Freestyle Libre.
Read moreAvant Technologies and Ainnova are developing a proprietary retinal camera with Vision AI software to improve early detection of diabetes-related eye diseases. The integration of AI technologies such as Machine Learning and Computer Vision in this product will enhance the diagnosis and management of diabetic retinopathy, benefiting diabetes patients and healthcare professionals.
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An AI software called GlucoseZone, developed by Charlie O'Connell and the Diabetes Influencers Network, will be launched in December to provide personalized exercise guidance for people with diabetes. The software utilizes machine learning and artificial intelligence to tailor workout recommendations based on an individual's glucose levels, making it a groundbreaking tool in the diabetes industry for improving health outcomes and quality of life.
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