Using Prediction Based Approaches to Improve Diagnostic Accuracy for BreastCancer

Palak,; Saini, Kamaljit Singh

doi:10.1109/icac3n56670.2022.10074203

2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N) 2022

DOI: 10.1109/icac3n56670.2022.10074203

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Using Prediction Based Approaches to Improve Diagnostic Accuracy for BreastCancer

Palak Palak

Kamaljit Singh Saini

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2024

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AI Integration in Telemedicine: Revolutionizing Virtual Healthcare Delivery

Dr. Rohith Vangalla

2024

Int. J. Sci. Res. Comput. Sci. Eng. Inf. Technol

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This comprehensive article explores the transformative impact of Artificial Intelligence integration in telemedicine services, highlighting its pivotal role in revolutionizing virtual healthcare delivery. The article examines various dimensions of AI applications in healthcare, including real-time data analysis, remote patient monitoring systems, patient engagement platforms, operational efficiency improvements, clinical benefits, and future developments. The article reveals significant advancements in diagnostic accuracy, patient care personalization, and healthcare accessibility through AI-powered solutions. The article demonstrates how AI integration has enhanced clinical decision-making processes, streamlined administrative workflows, and improved patient outcomes across diverse healthcare settings. Furthermore, it addresses the critical role of AI in reducing healthcare disparities by extending quality medical services to underserved communities through telemedicine platforms. The article also evaluates the economic implications of AI implementation in healthcare systems, examining both immediate operational benefits and long-term cost efficiencies. This article analysis provides valuable insights into the synergistic relationship between AI and telemedicine, establishing a framework for understanding their combined potential in shaping the future of healthcare delivery.

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AI Integration in Telemedicine: Revolutionizing Virtual Healthcare Delivery

Dr. Rohith Vangalla

2024

Int. J. Sci. Res. Comput. Sci. Eng. Inf. Technol

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scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

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Using Prediction Based Approaches to Improve Diagnostic Accuracy for BreastCancer

Cited by 1 publication

References 16 publications

AI Integration in Telemedicine: Revolutionizing Virtual Healthcare Delivery

AI Integration in Telemedicine: Revolutionizing Virtual Healthcare Delivery

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