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Title: | Artificial intelligence in telemedicine: a brief survey |
Authors: | Das, Sibanjan Debeeprasad. Bala, Pradip Kumar. |
Keywords: | Telemedicine Artificial intelligence Disease diagnosis Mobile health Healthcare IIM Ranchi |
Issue Date: | 2022 |
Publisher: | Springer |
Citation: | Das, S.D., & Bala, P. K. (2022). Artificial Intelligence in Telemedicine: A Brief Survey. In: Mishra, S., Tripathy, H. K., Mallick, P., & Shaalan, K. (Eds.). Augmented Intelligence in Healthcare: A Pragmatic and Integrated Analysis. Studies in Computational Intelligence, Vol. 1024(pp 453–461). Singapore: Springer. https://doi.org/10.1007/978-981-19-1076-0_23 |
Abstract: | Nowadays, telemedicine services based on Artificial Intelligence are not confined to research labs rather they have become a part of human efforts to improve Healthcare services. To coordinate distant medical operations in clinical centers, telemedicine used digital information and broadcast inter-communicative approaches. The overall management of medical norms and patient well-being framework is disrupted by machine intelligence in telemedicine by providing advanced methods of coordination. This scenario can be seen in regions of telehealth applications where Artificial Intelligence use cases are utilized to influence or build new rare medical approaches. This study discusses the use of AI in telehealth. Some vital applications are discussed here. A brief literature survey highlighting some contributions of AI in telehealth is presented. Major challenges and solutions are also highlighted. |
URI: | https://doi.org/10.1007/978-981-19-1076-0_23 http://idr.iimranchi.ac.in:8080/xmlui/handle/123456789/1367 |
ISBN: | 978-981-19-1076-0 (eBook) 978-981-19-1075-3 (Hardcover) 978-981-19-1078-4 (Softcover) |
Appears in Collections: | Book Chapters |
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