• Krishna Prasath Sivaraj
• Dr. Shruti Saxena

The rapid evolution of Artificial Intelligence (AI) and cloud computing technologies has revolutionized healthcare delivery, particularly in telemedicine and remote patient care. This paper explores the synergistic application of AI and cloud technologies to enhance telemedicine services, improving patient outcomes and the efficiency of healthcare providers. AI algorithms, such as machine learning and natural language processing, are being integrated into telemedicine platforms to offer personalized care, real-time diagnostic support, and predictive analytics. Cloud computing, with its vast storage and computational capabilities, enables seamless access to patient data and health records from remote locations, supporting real-time collaboration between patients and healthcare providers. Furthermore, AI-driven tools assist in the continuous monitoring of patients' vital signs, symptoms, and medication adherence through connected devices, while cloud infrastructure ensures secure, scalable, and cost-effective data storage and processing. The combination of these technologies enhances the quality of patient care, reduces the need for physical visits, and minimizes the burden on healthcare systems. This paper discusses the technical framework, key challenges, and potential benefits of leveraging AI and cloud technologies to address the growing demand for accessible and efficient remote healthcare solutions. Additionally, it highlights future trends, including the integration of telemedicine with wearable health devices and the increasing role of AI in predictive health management. The study concludes with recommendations for stakeholders in the healthcare sector to embrace these technologies to deliver more effective and inclusive patient care.

AI, cloud computing, telemedicine, remote patient care, machine learning, natural language processing, predictive analytics, healthcare technology, patient monitoring, healthcare data, wearable devices, personalized care, healthcare efficiency, real-time diagnostics, data security.

"Leveraging AI and Cloud Technologies for Enhancing Telemedicine and Remote Patient Care", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 1, page no.h290-h308, January-2025, Available :http://www.jetir.org/papers/JETIR2501733.pdf

"Leveraging AI and Cloud Technologies for Enhancing Telemedicine and Remote Patient Care", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 1, page no. pph290-h308, January-2025, Available at : http://www.jetir.org/papers/JETIR2501733.pdf