AI and IoT in Healthcare
Author Information
Author(s): Belbase Poshan, Bhusal Rajan, Ghimire Sapana Sharma, Sharma Shreesti, Banskota Bibek
Hypothesis
This study aims to explore the integration of IoT and AI in healthcare, outlining their applications, benefits, challenges, and potential risks.
Conclusion
Integrating IoT and AI in healthcare holds immense promise for improving patient outcomes and optimizing healthcare delivery.
Supporting Evidence
- The integration of IoT and AI in healthcare offers significant advancements, including remote patient monitoring and personalized medicine.
- AI algorithms can analyze large datasets to improve diagnostic accuracy and treatment planning.
- Challenges such as data privacy and algorithmic bias must be addressed for responsible technology deployment.
Takeaway
This study shows that using smart technology can help doctors take better care of patients by monitoring them from afar and making healthcare more efficient.
Methodology
A comprehensive literature review included indexed databases such as PubMed/Medline, Scopus, and Google Scholar.
Potential Biases
Potential biases in algorithms and data privacy concerns.
Limitations
The review may not cover all relevant studies and is limited to English-language publications.
Digital Object Identifier (DOI)
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