A secure e-health framework for rural Rajasthan

Soni, Yashpal; Gandhi, Geeta Chhabra; Goyal, Dinesh

doi:10.1080/09720510.2022.2119000

Journal of Statistics and Management Systems

2022

DOI: 10.1080/09720510.2022.2119000

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A secure e-health framework for rural Rajasthan

Yashpal Soni

Geeta Chhabra Gandhi

Dinesh Goyal

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2024

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Artificial intelligence in e-health

Karunakaran,

Maryam,

Sadiq

et al. 2024

JCHM

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Artificial intelligence (AI) technologies have had an impact on the healthcare industry for some time. The ongoing advancement of technology based on sophisticated machine learning and methods that can identify intricate patterns in data undoubtedly benefits this. A sophisticated model that can automate diagnosis could be created utilizing pooled healthcare data thanks to the quickly developing field of artificial intelligence. Additionally, customizing therapies and directing resources with maximum effectiveness in a timely and dynamic manner facilitates a more precise approach to medicine. Regrettably, a number of significant problems prevent AI's unambiguous affirmation. These range from the dearth of clinical studies that can show its dependability and superior effectiveness compared to conventional systems to the difficulties associated with allocating blame in the event of medical errors.

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Artificial intelligence in e-health

Karunakaran,

Maryam,

Sadiq

et al. 2024

JCHM

View full text Add to dashboard Cite

show abstract

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A secure e-health framework for rural Rajasthan

Cited by 1 publication

References 4 publications

Artificial intelligence in e-health

Artificial intelligence in e-health

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