Transforming Paradigm of Artificial Intelligence for Scalable Clinical Healthcare

Abstract

Numerous categories of AI utilized by customers and providers of care with functions consist of diagnosis, treatment recommendations, organizational actions, patient engagement and adherence [1][2][3]. Currently, use of the deep-learning technology, computing process and cloud storage with big data analytics enhanced the decision power in healthcare sector. Convergence of TechnologiesRevolutionize the healthcare ecosystem developed through several additional technologies such as Cloud, IOT, AI, big data & blockchain etc., which supplements building of electronic health records and services in easily pattern [4][5][6]. In medicine, AI impact at three levels: for clinicians by precise image understanding; for health practices, by enhancing workflow; and for patients, by allowing them to practice their own data [7]. Artificial Intelligence is steadily becoming a use-to technology in health care, from diagnosing to prediction performance. Some diseases such as cardiac, cancers and diabetes etc. found to be suitable for AI based technology due to clinical identification of patients accurately while, avoiding risk of critical care. How technologies and analytics can revolutionize the healthcare ecosystem, this can be understandable through market and business [8,9].