AI-Driven Robotics in Healthcare: The Future of Assisted Surgery and Rehabilitation
Abstract
AI-powered robotic systems are enhancing precision in surgeries and rehabilitation therapies, reducing human error, and improving patient recovery. From minimally invasive robotic-assisted surgeries to AI-driven prosthetics, robotics is redefining modern healthcare. This paper examines the advancements in AI-driven robotics, their impact on surgical and rehabilitative care, and the ethical considerations surrounding their use.
References
Boppiniti, S. T. (2021). Real-time data analytics with ai: Leveraging stream processing for dynamic decision support. International Journal of Management Education for Sustainable Development, 4(4).
Boppiniti, S. T. (2022). Exploring the Synergy of AI, ML, and Data Analytics in Enhancing Customer Experience and Personalization. International Machine learning journal and Computer Engineering, 5(5).
Boppiniti, S. T. (2019). Machine Learning for Predictive Analytics: Enhancing Data-Driven Decision-Making Across Industries. International Journal of Sustainable Development in Computing Science, 1(3).
Boppiniti, S. T. (2020). Big Data Meets Machine Learning: Strategies for Efficient Data Processing and Analysis in Large Datasets. International Journal of Creative Research In Computer Technology and Design, 2(2).
Boppiniti, S. T. (2023). Data Ethics in AI: Addressing Challenges in Machine Learning and Data Governance for Responsible Data Science. International Scientific Journal for Research, 5(5).
BOPPINITI, S. T. (2018). Human-Centric Design for IoT-Enabled Urban Health Solutions: Beyond Data Collection. International Transactions in Artificial Intelligence, 2(2).
BOPPINITI, S. T. (2018). Unraveling the Complexities of Healthcare Data Governance: Strategies, Challenges, and Future Directions. Transactions on Latest Trends in IoT, 1(1), 73-89.
BOPPINITI, S. T. (2017). Privacy-Preserving Techniques for IoT-Enabled Urban Health Monitoring: A Comparative Analysis. International Transactions in Artificial Intelligence, 1(1).
BOPPINITI, S. T. (2016). Core Standards and Applications of Big Data Analytics. International Journal of Sustainable Development in computer Science Engineering, 2(2).
BOPPINITI, S. T. (2015). Revolutionizing Industries with Machine Learning: A Global Insight. International Journal of Sustainable Development in computer Science Engineering, 1(1).
BOPPINITI, S. T. (2014). Emerging Paradigms in Robotics: Fundamentals and Future Applications. Transactions on Latest Trends in Health Sector, 6(6).
Boppiniti, S. T. (2023). AI-Powered Disease Outbreak Prediction Using Environmental and Social Data. International Transactions in Machine Learning, 5(5).
Boppiniti, S. T. (2021). AI-Based Cybersecurity for Threat Detection in Real-Time Networks. International Journal of Machine Learning for Sustainable Development, 3(2).
BOPPINITI, S. T. (2019). Revolutionizing Healthcare Data Management: A Novel Master Data Architecture for the Digital Era. Transactions on Latest Trends in IoT, 2(2).
Boppiniti, S. T. (2017). Revolutionizing Diagnostics: The Role of AI in Early Disease Detection. International Numeric Journal of Machine Learning and Robots, 1(1).
Boppiniti, S. T. (2018). AI-Powered Predictive Analytics for Personalized Healthcare. International Numeric Journal of Machine Learning and Robots, 2(2).
Boppiniti, S. T. (2018). AI-Driven Drug Discovery: Accelerating the Path to New Therapeutics. International Machine learning journal and Computer Engineering, 1(1).
Boppiniti, S. T. (2019). Natural Language Processing in Healthcare: Enhancing Clinical Decision Support Systems. International Numeric Journal of Machine Learning and Robots, 3(3).
Boppiniti, S. T. (2020). AI in Mental Health: Opportunities and Challenges in Psychological Care. International Numeric Journal of Machine Learning and Robots, 4(4).
Boppiniti, S. T. (2021). AI and Robotics in Surgery: Enhancing Precision and Outcomes. International Numeric Journal of Machine Learning and Robots, 5(5).
Boppiniti, S. T. (2022). AI for Dynamic Traffic Flow Optimization in Smart Cities. International Journal of Sustainable Development in Computing Science, 4(4).
Boppiniti, S. T. (2022). Ethical Dimensions of AI in Healthcare: Balancing Innovation and Responsibility. International Machine learning journal and Computer Engineering, 5(5).
Boppiniti, S. T. (2023). Edge AI for Real-Time Object Detection in Autonomous Vehicles. Transactions on Recent Developments in Health Sectors, 6(6).
Deekshith, A. (2020). AI-Enhanced Data Science: Techniques for Improved Data Visualization and Interpretation. International Journal of Creative Research In Computer Technology and Design, 2(2).
Deekshith, A. (2021). Data engineering for AI: Optimizing data quality and accessibility for machine learning models. International Journal of Management Education for Sustainable Development, 4(4), 1-33.
Deekshith, A. (2022). Cross-Disciplinary Approaches: The Role of Data Science in Developing AI-Driven Solutions for Business Intelligence. International Machine learning journal and Computer Engineering, 5(5).
Deekshith, A. (2023). Scalable Machine Learning: Techniques for Managing Data Volume and Velocity in AI Applications. International Scientific Journal for Research, 5(5).
DEEKSHITH, A. (2018). Seeding the Future: Exploring Innovation and Absorptive Capacity in Healthcare 4.0 and HealthTech. Transactions on Latest Trends in IoT, 1(1), 90-99.
DEEKSHITH, A. (2017). Evaluating the Impact of Wearable Health Devices on Lifestyle Modifications. International Transactions in Artificial Intelligence, 1(1).
DEEKSHITH, A. (2016). Revolutionizing Business Operations with Artificial Intelligence, Machine Learning, and Cybersecurity. International Journal of Sustainable Development in computer Science Engineering, 2(2).
DEEKSHITH, A. (2015). Exploring the Foundations, Applications, and Future Prospects of Artificial Intelligence. International Journal of Sustainable Development in computer Science Engineering, 1(1).
DEEKSHITH, A. (2014). Neural Networks and Fuzzy Systems: A Synergistic Approach. Transactions on Latest Trends in Health Sector, 6(6).
Deekshith, A. (2023). Transfer Learning for Multilingual Speech Recognition in Low-Resource Languages. International Transactions in Machine Learning, 5(5).
Deekshith, A. (2021). AI-Driven Sentiment Analysis for Enhancing Customer Experience in E-Commerce. International Journal of Machine Learning for Sustainable Development, 3(2).
DEEKSHITH, A. (2019). From Clinics to Care: A Technological Odyssey in Healthcare and Medical Manufacturing. Transactions on Latest Trends in IoT, 2(2).
DEEKSHITH, A. (2018). Integrating IoT into Smart Cities: Advancing Urban Health Monitoring and Management. International Transactions in Artificial Intelligence, 2(2).
DEEKSHITH, A. (2016). Revolutionizing Business Operations with Artificial Intelligence, Machine Learning, and Cybersecurity. International Journal of Sustainable Development in computer Science Engineering, 2(2).
Alladi, D. (2023). AI-Driven Healthcare Robotics: Enhancing Patient Care and Operational Efficiency. International Machine learning journal and Computer Engineering, 6(6).
Deekshith, A. (2023). AI-Driven Predictive Analytics for Energy Consumption Optimization in Smart Grids. Transactions on Recent Developments in Health Sectors, 6(6).
Alladi, D. (2023). AI in Genomics: Unlocking the Future of Precision Medicine. International Numeric Journal of Machine Learning and Robots, 7(7).
Deekshith, A. (2023). Explainable AI for Decision Support in Financial Risk Assessment. International Transactions in Artificial Intelligence, 7(7).
Deekshith, A. (2022). AI-Driven Early Warning Systems for Natural Disaster Prediction. International Journal of Sustainable Development in Computing Science, 4(4).
Alladi, D. (2021). Revolutionizing Emergency Care with AI: Predictive Models for Critical Interventions. International Numeric Journal of Machine Learning and Robots, 5(5).
Alladi, D. (2021). AI for Rare Disease Diagnosis: Overcoming Challenges in Healthcare Inequity. International Machine learning journal and Computer Engineering, 4(4).
Alladi, D. (2019). AI in Rehabilitation Medicine: Personalized Therapy for Improved Recovery. International Machine learning journal and Computer Engineering, 2(2).
Alladi, D. (2019). AI in Radiology: Enhancing Diagnostic Accuracy and Efficiency. International Numeric Journal of Machine Learning and Robots, 3(3).
Alladi, D. (2018). AI-Powered Virtual Assistants in Healthcare: Transforming Patient Engagement. International Machine learning journal and Computer Engineering, 1(1).
Alladi, D. (2018). AI in Public Health: Predicting and Controlling Disease Outbreaks. International Machine learning journal and Computer Engineering, 1(1).
Mettikolla, P. (2023). Familial Hypertrophic Cardiomyopathy and Sustainable Healthcare: Genetic Insights, Clinical Implications, and Future Therapeutic Strategies for Global Health. International Journal of Sustainable Development Through AI, ML and IoT, 2(2), 1-25.
Mettikolla, P., Balammal, G., & Meena, D. (2022). The effect of sun light exposure on prediabetic patients in tamil nadu population. International Journal of Pharmaceutical Research and Life Sciences, 10(2), 30-35.
Mettikolla, P., & Umasankar, K. (2019). Epidemiological analysis of extended-spectrum β-lactamase-producing uropathogenic bacteria. International Journal of Novel Trends in Pharmaceutical Sciences, 9(4), 75-82.
Dr. Prasad Mettikolla, Dr. T. Sunil Kumar Reddy, & Dr. G. Balammal. (2024). EXPLORING COX-1 AND COX-2 INHIBITION POTENTIAL OF AMBERBOA DIVARICATA AERIAL PARTS THROUGH IN-SILICO AND IN-VITRO STUDIES. Journal of Population Therapeutics and Clinical Pharmacology, 31(11), 292-298.
Dr. A. Saravana Kumar Dr. Prasad Mettikolla.(2014). IN VITRO ANTIOXIDANT ACTIVITY ASSESSMENT OF CAPPARIS ZEYLANICA FLOWERS. International Journal of Phytopharmacology, 5(6), 496-501.
Dr. R. Gandhimathi Dr. Prasad Mettikolla.(2015). EVALUATION OF ANTINOCICEPTIVE EFFECTS OF MELIA AZEDARACH LEAVES. International Journal of Pharmacy, 5(2), 104-108.
G. Sangeetha Dr. Prasad Mettikolla.(2016). ASSESSMENT OF IN VITRO ANTI-DIABETIC PROPERTIES OF CATUNAREGAM SPINOSA EXTRACTS. International Journal of Pharmacy Practice & Drug Research, 6(2), 76-81.
