Revolutionizing Healthcare with High-Performance Medicine: The Synergy of Human Expertise and Artificial Intelligence
Abstract
The healthcare landscape is undergoing a profound transformation with the convergence of human expertise and Artificial Intelligence (AI), giving rise to high-performance medicine. This paper explores the dynamic interplay between AI and human capabilities in healthcare. Through a comprehensive examination, it unveils how this convergence is reshaping diagnostics, treatment, patient care, and medical research. This research illuminates the potential of high-performance medicine to revolutionize healthcare delivery and improve patient outcomes.
References
Chen, M., Mao, S., & Liu, Y. (2014). Big data: A survey. Mobile Networks and Applications, 19(2), 171-209.
Topol, E. J. (2019). High-performance medicine: the convergence of human and artificial intelligence. Nature Medicine, 25(1), 44-56.
Bates, D. W., Saria, S., Ohno-Machado, L., Shah, A., & Escobar, G. (2014). Big data in health care: using analytics to identify and manage high-risk and high-cost patients. Health Affairs, 33(7), 1123-1131.
Obermeyer, Z., & Emanuel, E. J. (2016). Predicting the future—big data, machine learning, and clinical medicine. New England Journal of Medicine, 375(13), 1216-1219.
Sheth, J. (2017). Chatbots as AI interfaces to business. Big Data, 5(1), 6-14.
Kunduru, A. R. (2023). Security concerns and solutions for enterprise cloud computing applications. Asian Journal of Research in Computer Science, 15(4), 24–33. https://doi.org/10.9734/ajrcos/2023/v15i4327
Kunduru, A. R. (2023). Industry best practices on implementing oracle cloud ERP security. International Journal of Computer Trends and Technology, 71(6), 1-8. https://doi.org/10.14445/22312803/IJCTT-V71I6P101
Kunduru, A. R. (2023). Cloud Appian BPM (Business Process Management) Usage In health care Industry. IJARCCE International Journal of Advanced Research in Computer and Communication Engineering, 12(6), 339-343. https://doi.org/10.17148/IJARCCE.2023.12658
Kunduru, A. R. (2023). Effective usage of artificial intelligence in enterprise resource planning applications. International Journal of Computer Trends and Technology, 71(4), 73-80. https://doi.org/10.14445/22312803/IJCTT-V71I4P109
Kunduru, A. R. (2023). Recommendations to advance the cloud data analytics and chatbots by using machine learning technology. International Journal of Engineering and Scientific Research, 11(3), 8-20.
Kunduru, A. R., & Kandepu, R. (2023). Data archival methodology in enterprise resource planning applications (Oracle ERP, Peoplesoft). Journal of Advances in Mathematics and Computer Science, 38(9), 115–127. https://doi.org/10.9734/jamcs/2023/v38i91809
Kunduru, A. R. (2023). Artificial intelligence usage in cloud application performance improvement. Central Asian Journal of Mathematical Theory and Computer Sciences, 4(8), 42-47. https://cajmtcs.centralasianstudies.org/index.php/CAJMTCS/article/view/491
Kunduru, A. R. (2023). Artificial intelligence advantages in cloud Fintech application security. Central Asian Journal of Mathematical Theory and Computer Sciences, 4(8), 48-53. https://cajmtcs.centralasianstudies.org/index.php/CAJMTCS/article/view/492
Kunduru, A. R. (2023). Cloud BPM Application (Appian) Robotic Process Automation Capabilities. Asian Journal of Research in Computer Science, 16(3), 267–280. https://doi.org/10.9734/ajrcos/2023/v16i3361
Kunduru, A. R. (2023). Machine Learning in Drug Discovery: A Comprehensive Analysis of Applications, Challenges, and Future Directions. International Journal on Orange Technologies, 5(8), 29-37.
Arjun Reddy Kunduru. (2023). From Data Entry to Intelligence: Artificial Intelligence’s Impact on Financial System Workflows. International Journal on Orange Technologies, 5(8), 38-45. Retrieved from https://journals.researchparks.org/index.php/IJOT/article/view/4727
Arjun Reddy Kunduru. (2023). The Inevitability of Cloud-Based Case Management for Regulated Enterprises. International Journal of Discoveries and Innovations in Applied Sciences, 3(8), 13–18. Retrieved from https://openaccessjournals.eu/index.php/ijdias/article/view/2247
Kunduru, A. R. (2023). DATA CONVERSION STRATEGIES FOR ERP IMPLEMENTATION PROJECTS. CENTRAL ASIAN JOURNAL OF MATHEMATICAL THEORY AND COMPUTER SCIENCES, 4(9), 1-6. Retrieved from https://cajmtcs.centralasianstudies.org/index.php/CAJMTCS/article/view/509
Arjun Reddy Kunduru. (2023). Healthcare ERP Project Success: It’s all About Avoiding Missteps. Central Asian Journal of Theoretical and Applied Science, 4(8), 130-134. Retrieved from https://cajotas.centralasianstudies.org/index.php/CAJOTAS/article/view/1268
Kunduru, A. R. (2023). THE PERILS AND DEFENSES OF ENTERPRISE CLOUDCOMPUTING: A COMPREHENSIVE REVIEW. Central Asian Journal of Mathematical Theory and Computer Sciences, 4(9), 29-41.
Kunduru, A. R. (2023). Maximizing Business Value with Integrated IoT and Cloud ERP Systems. International Journal of Innovative Analyses and Emerging Technology, 3(9), 1-8.
Kunduru, A. R. (2023). Blockchain Technology for ERP Systems: A Review. American Journal of Engineering, Mechanics and Architecture, 1(7), 56-63.
