The Role of AI-Powered Telemedicine Software in Healthcare During the COVID-19 Pandemic
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Abstract
This overwhelming demand puts a lot of pressure on already strained healthcare services and contrives to bring out the inefficiencies that travel deep within them, calling for new solutions. At the same time, strict lockdowns, with mandatory social distancing significantly decreased the opportunities of more conventional, face-to face medical consultations thus many patients remained unserved or underserved. To these challenges, telemedicine emerged quickly as a preferable option to practice healthcare away from the traditional centralized healthcare facilities. Telemedicine lets the patients talk to the doctors, get a diagnosis, or even get prescribed medication all from the safety of their own home. Moreover, incorporation of artificial intelligence (AI) in telemedicine greatly enhanced this solution to an enhanced level of technological advancement.
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References
Anderson, J., & Rainie, L. (2018, December 10). Improvements ahead: How humans and AI might evolve together in the next decade. Https://www.Pewresearch.org. Retrieved May 13, 2020, from https://www.pewresearch.org/internet/2018/12/10/improvements-ahead-how-humans-and-ai-might-evolve-together-in-the-next-decade/
Codari, M., Sardanelli, F., & Pesapane, F. (2018, October 24). Artificial intelligence in medical imaging: Threat or opportunity? Radiologists again at the forefront of innovation in medicine. Https://Eurradiolexp.Springeropen.com/. Retrieved May 13, 2020, from https://eurradiolexp.springeropen.com/articles/10.1186/s41747-018-0061-6
D, G., E, B., MP, L., MP, F., & G, C. (2020, May 1). How the COVID-19 pandemic is favoring the adoption of digital technologies in healthcare: A rapid literature review. Https://Europepmc.org. Retrieved May 13, 2020, from https://europepmc.org/article/ppr/ppr157307
Fiorencis, A. (2020, June 3). Telemedicine and AI for health professionals during COVID-19 outbreak. Https://www.Medicinanarrativa.eu. Retrieved May 13, 2020, from https://www.medicinanarrativa.eu/telemedicine-and-ai-for-health-professionals-during-covid-19-outbreak
Harris, B. (2020, May 7). How AI use cases are evolving in the time of COVID-19. Https://www.Healthcareitnews.com. Retrieved May 13, 2020, from https://www.healthcareitnews.com/news/how-ai-use-cases-are-evolving-time-covid-19
Maltha, J. (2018, July 28). The case for focusing AI in healthcare on people, not technology. Https://www.Philips.com. Retrieved May 13, 2020, from https://www.philips.com/a-w/about/news/archive/standard/news/articles/2018/20180828-the-case-for-focusing-ai-in-healthcare-on-people.html