What You Should Know: - Eyenuk, Inc., a global artificial intelligence (AI) digital health company and the leader in real-world applications for AI Eye Screening™ and AI Predictive Biomarkers™, today announced it has secured $26 million in a Series A financing round, bringing the Company’s total funding to over $43 million. - The capital raise was led by AXA IM Alts and was joined by new and existing investors including T&W Medical A/S, A&C Foelsgaard Alternativer ApS, Kendall
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Diabetic Retinopathy
Research: AI Outperforms Ophthalmologists at Detecting Eye Disease
What You Should Know: - A new study published in Ophthalmology Science, a peer-reviewed journal of the American Academy of Ophthalmology, found that Artificial Intelligence is significantly better at detecting diabetic retinopathy (DR) than eye specialists. DR is the leading cause of blindness among working-age adults yet is easily treatable with early detection. - The multi-center study evaluated the FDA-cleared EyeArt AI system against dilated eye exams
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How AI Can Accurately Detect Diabetes Through Retinal Images
Recent advancements in AI have demonstrated that AI can accurately detect diabetes through the analysis of retinal images that retina experts would consider healthy. To better understand this achievement, it is worth taking a step back to understand the context and magnitude of the achievement. Diabetes is a chronic health condition that affects the body’s ability to metabolize glucose, resulting in high levels of sugars in the bloodstream. Over time, elevated blood sugar levels can
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At-Home Digital Health Innovations Transforming Diabetes Care
If you’re looking for a silver lining in the COVID-19 dark cloud still enshrouding the world, consider this: The pandemic has turbocharged widespread acceptance of at-home digital health solutions. Forced to function in a world of social distancing, healthcare providers and physicians have quickly discovered how easily telehealth visits, remote patient monitoring (RPM) and digital therapeutics can improve patient care. Many of these digital health innovations are designed to address
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Data-Driven Future: Impact of Machine Learning on Diabetes Management
“Information technology and business are becoming inextricably interwoven. I don't think anybody can talk meaningfully about one without the talking about the other” – Bill Gates wrote this in 1999 and, nowadays, the same can certainly be said about information technology and healthcare. The ability to collect, analyze, and use data is becoming ubiquitous with many of healthcare’s most exciting advancements. Whether it’s Google’s DeepMind using artificial intelligence (AI) to help
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Benefits of Store and Forward, or Asynchronous Telehealth Solutions
An introduction to asynchronous, or store-and-forward, as a modality of telehealth As our healthcare system continues to innovate in order to meet demands and improve the delivery of value, various telehealth solutions have emerged and been implemented to increase efficiency, access to, and quality of care. Telehealth is a broad term encompassing “a collection of technology-based means or methods to enhance healthcare delivery and education.” As defined by the National Telehealth
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Microsoft Launches $40M, 5-Year AI for Health Initiative to Advance Health Globally
- Microsoft launches 5-year, $40M AI for Health initiative to advance the health of people and communities around the world through artificial intelligence (AI). - AI for Health will focus on three core areas: quest for discovery, global health insights, and health equity. Microsoft
Corporation, today announced the launch of AI for Health, a new $40M, five-year program to empower researchers and
organizations with AI to improve the health of people and communities around
the
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Primary Care Doctors Use Autonomous AI to Instantly Detect Eye Disease
- A Georgia Primary Care Clinic is now using an autonomous AI system called IDx-DR to test patients for diabetic retinopathy, a leading cause of blindness. - IDx-DR is cleared by the FDA to make an assessment without the need for a clinician to also interpret the image or results, making it usable by healthcare providers who may not normally be involved in eye care. - The exam typically takes 5-10 minutes. Nurses use an automated fundus camera to take pictures of the patient’s retinas –
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NYC Health + Hospitals Launches Primary Care-Centered Diabetes Management Program
NYC Health + Hospitals, the largest public health care system in the nation announced the launch of a comprehensive, primary care-centered diabetes management program. The diabetes management program includes investing in new clinical pharmacy staff, equipment, and technology to improve health outcomes and expand services through telehealth techniques for more than 60,000 New Yorkers with diabetes who receive care in the City’s public hospitals and community-based health centers.Impact of
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FCC Strengthens Rural Telehealth Program: 5 Things to Know
The Federal Communications Commission (FCC) on Thursday took action to promote telehealth in rural America through reforms to the Rural Health Care Program that ensure limited program funds are disbursed efficiently and equitably, promote transparency and predictability in the program’s administration, and strengthen safeguards against waste, fraud, and abuse.
The announcement revises the rules governing the Telecom Program to simplify calculation of the urban rate—the amount health care
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