Abstract
Artificial intelligence becomes useful technology with enormous capacity and performance. Although it’s based on theoretical construct having extensive processing power for larger datasets. AI & machine learning algorithms strengthen the medical research and revolutionized the healthcare sector. In AI based system, prediction models are developed to identify key variables in any input datasets. Although, accuracy in the clinical healthcare is the major challenge for computer-based diagnosis and treatment process. Therefore, substantial improvement required for clinical identification due to risk associated with clinical complexity of the disease.
Highlights
Artificial intelligence become useful technology with enormous capacity and performance
Revolutionize 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 pattern [4,5,6]
How technologies and analytics can revolutionize the healthcare ecosystem, this can be understandable through market and business [8,9]
Summary
Artificial intelligence become useful technology with enormous capacity and performance. It’s based on theoretical construct having extensive processing power for larger datasets. AI & machine learning algorithms strengthen the medical research and revolutionized the healthcare sector. In AI based system, prediction models are developed to identify key variables in any input datasets. Accuracy in the clinical healthcare is the major challenge for computer-based diagnosis and treatment process. 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]. Use of the deep-learning technology, computing process and cloud storage with big data analytics enhanced the decision power in healthcare sector
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