AI News, Autonomous artificial intelligence
ADA says autonomous AI meets diabetes standards of care | Healthcare IT News
In a move that could help win over some skeptics about the value and efficacy of AI in clinical care, The American Diabetes Association, in its new set of clinical standards, recognizes the use of autonomous artificial intelligence for the screening of some medical conditions.
ADA's new 2020 Standards of Medical Care in Diabetes includes language noting that “AI systems that detect more than mild diabetic retinopathy and diabetic macular edema authorized for use by the FDA represent an alternative to traditional screening approaches.” The clinical standards – published earlier this month in the peer-reviewed journal Diabetes Care – represent a new source for evidence-based best practices, consulted by hospitals and health systems, physicians, insurers and quality organizations.
the initial nod of approval is being welcomed by IDx-DR, which in 2018 became the first (and so far only) autonomous AI diagnostic system to win de novo approval from FDA for the detection of diabetic retinopathy and macular edema.
Neural network design for energy-autonomous artificial intelligence applications using temporal encoding
Neural networks (NNs) are steering a new generation of artificial intelligence (AI) applications at the micro-edge.
As harvesters and other power sources which provide energy autonomy inevitably have power variations, the circuits need to robustly operate over a dynamic power envelope.
Using handwritten character recognition as an exemplar of AI applications, we demonstrate the power elasticity, resilience and efficiency of the proposed NN design in the presence of functional and parametric variations including large voltage variations in the power supply.
- On 25. oktober 2021
Artificial Intelligence & Autonomy
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