AI-Driven IoT Revolution: Transforming Healthcare Delivery and Patient Outcomes

AI-Driven IoT Revolution: Transforming Healthcare Delivery and Patient Outcomes

Authors

  • Prabhav raj

Abstract

The integration of Artificial Intelligence (AI) with the Internet of Things (IoT) stands as a cornerstone in the evolution of healthcare, promising groundbreaking enhancements in patient care and medical services. This abstract delves into the symbiotic relationship between AI and IoT technologies within the healthcare sector. It explores how IoT-connected devices, powered by AI algorithms, enable real-time data collection, predictive analytics, and personalized healthcare solutions. Ethical considerations, security protocols, and regulatory frameworks form integral discussions as these technologies converge, shaping the landscape of healthcare delivery. This abstract aims to spotlight the transformative potential of AI-infused IoT solutions, envisioning improved diagnostics, proactive interventions, and optimized healthcare delivery systems to ultimately elevate patient-centric care.

References

Vegesna, V. V. (2023). AI-Enabled Blockchain Solutions for Sustainable Development, Harnessing Technological Synergy towards a Greener Future. (2023). International Journal of Sustainable Development Through AI, ML and IoT, 2(2), 1-10. https://ijsdai.com/index.php/IJSDAI/article/view/23

Vegesna, V. V. (2023). Enhancing Cyber Resilience by Integrating AI-Driven Threat Detection and Mitigation Strategies. Transactions on Latest Trends in Artificial Intelligence, 4(4).

Kasula, B. Y. (2023). Harnessing Machine Learning for Personalized Patient Care. Transactions on Latest Trends in Artificial Intelligence, 4(4).

Kasula, B. Y. (2023). Framework Development for Artificial Intelligence Integration in Healthcare: Optimizing Patient Care and Operational Efficiency. Transactions on Latest Trends in IoT, 6(6), 77-83.

Vegesna, V. V. (2023). Comprehensive Analysis of AI-Enhanced Defense Systems in Cyberspace. (2023). International Numeric Journal of Machine Learning and Robots, 7(7). https://injmr.com/index.php/fewfewf/article/view/21

Vegesna, V. V. (2023). Enhancing Cybersecurity Through AI-Powered Solutions: A Comprehensive Research Analysis. (2023). International Meridian Journal, 5(5), 1-8. https://meridianjournal.in/index.php/IMJ/article/view/21

Kasula, B. Y. (2023). Leveraging Natural Language Processing and Machine Learning for Enhanced Content Rating. (2023). International Meridian Journal, 5(5). https://meridianjournal.in/index.php/IMJ/article/view/8

Kasula, B. Y. (2023). Revealing Insights: Machine Learning-Based Prediction of Thyroid Disorders. (2023). International Journal of Creative Research In Computer Technology and Design, 5(5). https://jrctd.in/index.php/IJRCTD/article/view/17

Vegesna, D. (2023). Privacy-Preserving Techniques in AI-Powered Cyber Security: Challenges and Opportunities. International Journal of Machine Learning for Sustainable Development, 5(4), 1-8. Retrieved from https://www.ijsdcs.com/index.php/IJMLSD/article/view/408

Kasula, B. (2023). AI Applications in Healthcare a Comprehensive Review of Advancements and Challenges. International Journal of Managment Education for Sustainable Development, 6(6). Retrieved from https://ijsdcs.com/index.php/IJMESD/article/view/400

Kasula, B. Y. (2023). A Machine Learning Approach for Differential Diagnosis and Prognostic Prediction in Alzheimer's Disease. International Journal of Sustainable Development in Computing Science, 5(4), 1-8.

Kasula, B. Y. (2023). Machine Learning Models for Understanding Blood-Brain Barrier Integrity and Transport Mechanisms. International Journal of Machine Learning for Sustainable Development, 5(4), 1-8.

Vegesna, V. V. (2023). A Critical Investigation and Analysis of Strategic Techniques Before Approving Cloud Computing Service Frameworks. International Journal of Management, Technology and Engineering, 13.

Kasula, B. Y. (2023). Revolutionizing Healthcare Delivery: Innovations and Challenges in Supply Chain Management for Improved Patient Care. Transactions on Latest Trends in Health Sector, 15(15).

Kasula, B. Y. (2023). Machine Learning Applications in Diabetic Healthcare: A Comprehensive Analysis and Predictive Modeling. (2023). International Numeric Journal of Machine Learning and Robots, 7(7). https://injmr.com/index.php/fewfewf/article/view/19

Kasula, B. Y. (2023). AI-Driven Machine Learning Solutions for Sustainable Development in Healthcare—Pioneering Efficient, Equitable, and Innovative Health Service. (2023). International Journal of Sustainable Development Through AI, ML and IoT, 2(2), 1-7. https://ijsdai.com/index.php/IJSDAI/article/view/26

Published

2023-12-05

How to Cite

raj, P. (2023). AI-Driven IoT Revolution: Transforming Healthcare Delivery and Patient Outcomes. International Transactions in Machine Learning, 5(5). Retrieved from https://isjr.co.in/index.php/ITML/article/view/168

Issue

Section

Articles
Loading...