Deep Learning and Sustainable Telemedicine

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Author(s): Edward T. Chen (University of Massachusetts – Lowell, USA)
Copyright: 2021
Pages: 18
Source title: Research Anthology on Telemedicine Efficacy, Adoption, and Impact on Healthcare Delivery
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-7998-8052-3.ch014

Keywords: Knowledge Management and Library Science / Medical Diagnosis and Practice / Medical Information Science Reference / Telemedicine

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Abstract

The need for healthcare is increasing on a global scale. The lack of medical professionals available to fill this need has increased interest in deep learning and sustainable telemedicine technologies. Telemedicine has been shown to be financially beneficial to both patients and healthcare facilities, provided that government regulations and insurance companies recognize them as a reimbursable expense. Advancements in cloud computing, deep learning, and telemedicine are creating a global standard for healthcare, and at the same time increasing the need for these services.

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