… However, the efficacy of deep learning mechanisms in context to the health care
recommendation systems still needs to be analyzed through a deep learning-based health care …

… on neural network and neuromorphic hardware as applied to the healthcare domain. We …
as edge hardware to enable mobile healthcare care applications. The main reason for this …

… In the second stage, a deep neural network (DNN) classifier is … health care and reduction
of cost, but also present a challenge for the incorporation of new technologies into clinical care […

… in health care and its rapidly growing role in supplementing traditional methods of patient
care.[… (ML), as well as a further subset known as deep learning (DL). ML takes use of statistical …

… are fed as input into the deep neural network. CNN is used … diagnosis system using a deep
convolutional neural network. … Researchers developed hybrid models by combining a deep …

… was associated with greater utilization of disease-specific treatments (immunotherapies
in MS anticoagulation in atrial fibrillation–associated stroke, deep brain stimulation and …

… Costs were determined from the perspective of the health care provider. … month observation
period for in-patient and out-patient care. These expenses included already the costs for the …

… in health care are emerging in the subdomain of AI called deep-… or classify patterns in the
image, deep-learning allows the use of … Deep-learning based AI technology therefore provides …

… Deep learning offers considerable promise for medical … of deep learning algorithms versus
health-care professionals in … of deep learning models to be equivalent to that of health-care …

… of misdistribution of the demand versus supply of healthcare services. That and more are …
of microelectrode recordings using deep learning in subthalamic deep brain stimulation for …