NANOTECHNOLOGY MEETS AI AND IOT: REDEFINING DIAGNOSTIC TECHNIQUES AND MEDICAL TREATMENT PROTOCOLS
DOI:
https://doi.org/10.48047/cvmyt392Keywords:
Nanotech, AI, IoT, diagnostic, health care, Machine learning, Big data, Predictive analytics, Analytical research.Abstract
Background: Combined with nanotechnology, AI, and IoT, the field of healthcare is experiencing
significant changes in the approaches that are used to diagnose diseases and determine further
treatment plans. Therefore, the purpose of this research will be to establish the effects of these
technologies in the delivery of healthcare.
Objective:
To evaluate how healthcare professionals are aware and using nanotechnology, AI, and IoT in
diagnostics and treatment processes and the key difficulties and perceived advantages of those
technologies; and to figure out the present state of implementation of nanotechnology, AI, and IoT in
healthcare.
Methods:
From this study, a quantitative, cross-sectional survey design was used. A quantitative survey
method that adopts a set of standard questions was employed for healthcare practitioners, scholars,
technologists, and clients. Qualitative and both quantitative research methods were employed where
descriptive statistics and inferential statistics were used in analyzing the data. The normality of the
data was tested using the Shapiro-Wilk test, survey reliability was tested with a Cronbach alpha test
while, and the model accuracy was tested using the Random Forest classifier.
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