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@article{197148,
        author = {Sriya Kolipakam and K. Suguna},
        title = {Intelligent Healthcare Ecosystems: Leveraging Ai & Ml for Sustainable and Data-Driven Medical Innovation},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {no},
        pages = {167-171},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=197148},
        abstract = {The rapid digital transformation of healthcare has led to an overwhelming amount of medical data generated from sources such as electronic health records, wearable devices, medical imaging, and clinical monitoring tools. However, the challenge lies in effectively turning this vast data into valuable insights that can enhance patient care and improve healthcare systems. Artificial Intelligence (AI) and Machine Learning (ML) have become important partners in tackling this issue. These technologies are good at analysing complicated healthcare data and supporting data-driven medical services. This survey looks at smart healthcare systems that use AI and ML to improve efficiency and sustainability in healthcare delivery. It discusses key applications such as disease prediction, medical image analysis, remote patient monitoring, and clinical decision support systems. The study also examines common machine learning techniques that improve diagnostic accuracy and simplify healthcare management. Despite progress, there are still significant challenges. Concerns about data privacy, limited interoperability among systems, and unclear AI models are major issues that need attention. This survey highlights current advancements in the field and suggests future steps for creating secure and sustainable AI-driven healthcare systems.},
        keywords = {Artificial Intelligence, Machine Learning, Intelligent Healthcare Systems, Predictive Analytics, Digital Health, Remote Patient Monitoring, Clinical Decision Support Systems, Healthcare Analytics.},
        month = {April},
        }