The Role of Artificial Intelligence in Healthcare Robotics: Improving Patient Assistance and Care

Prof. Kamlesh yadav

Abstract


The integration of artificial intelligence (AI) into healthcare robotics heralds a paradigm shift in patient assistance and care delivery. This paper explores the multifaceted role of AI in enhancing patient-centric services through robotic applications. By amalgamating AI algorithms with robotics, advancements have been witnessed in diagnostics, treatment, rehabilitation, and overall patient well-being. This abstract delves into the innovative applications of AI-driven healthcare robotics, highlighting the efficacy of intelligent systems in personalized care, efficient resource allocation, and streamlined clinical workflows. Ethical considerations and challenges inherent in deploying AI-based robotic solutions within healthcare environments are also examined. Through an analysis of current developments and future potentials, this abstract outlines the transformative impact of AI-infused robotics in elevating the quality, accessibility, and precision of patient assistance and care.


References


Peddireddy, K. (2023, October 20). Effective Usage of Machine Learning in Aero Engine test data using IoT based data driven predictive analysis. IJARCCE, 12(10). https://doi.org/10.17148/ijarcce.2023.121003

Peddireddy, A., & Peddireddy, K. (2023, March 30). Next-Gen CRM Sales and Lead Generation with AI. International Journal of Computer Trends and Technology, 71(3), 21–26. https://doi.org/10.14445/22312803/ijctt-v71i3p104

Peddireddy, K. (2023, May 11). Streamlining Enterprise Data Processing, Reporting and Realtime Alerting using Apache Kafka. 2023 11th International Symposium on Digital Forensics and Security (ISDFS). https://doi.org/10.1109/isdfs58141.2023.10131800.

Peddireddy, K. (2023, May 18). Kafka-based Architecture in Building Data Lakes for Real-time Data Streams. International Journal of Computer Applications, 185(9), 1–3. https://doi.org/10.5120/ijca2023922740.

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


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