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Advancements in Healthcare: Harnessing Machine Learning for Medical Devices

Advancements in Healthcare: Harnessing Machine Learning for Medical Devices

Dwith Chenna
Copyright: © 2024 |Pages: 33
ISBN13: 9798369312810|EISBN13: 9798369312827
DOI: 10.4018/979-8-3693-1281-0.ch010
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MLA

Chenna, Dwith. "Advancements in Healthcare: Harnessing Machine Learning for Medical Devices." Deep Learning Approaches for Early Diagnosis of Neurodegenerative Diseases, edited by Raul Villamarin Rodriguez, et al., IGI Global, 2024, pp. 201-233. https://doi.org/10.4018/979-8-3693-1281-0.ch010

APA

Chenna, D. (2024). Advancements in Healthcare: Harnessing Machine Learning for Medical Devices. In R. Rodriguez, H. Kannan, R. T., K. Shaikh, & S. Bekal (Eds.), Deep Learning Approaches for Early Diagnosis of Neurodegenerative Diseases (pp. 201-233). IGI Global. https://doi.org/10.4018/979-8-3693-1281-0.ch010

Chicago

Chenna, Dwith. "Advancements in Healthcare: Harnessing Machine Learning for Medical Devices." In Deep Learning Approaches for Early Diagnosis of Neurodegenerative Diseases, edited by Raul Villamarin Rodriguez, et al., 201-233. Hershey, PA: IGI Global, 2024. https://doi.org/10.4018/979-8-3693-1281-0.ch010

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Abstract

This chapter aims to provide an in-depth exploration of the integration of machine learning techniques into medical devices, revolutionizing the landscape of healthcare. Machine learning has demonstrated its potential to enhance the accuracy, efficiency, and diagnostic capabilities of medical devices, leading to improved patient care and outcomes. Through this chapter, the authors intend to delve into the various applications, challenges, and future prospects of machine learning-enabled medical devices, highlighting their impact on modern healthcare.

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