Transforming Paradigm of Artificial Intelligence for Scalable Clinical Healthcare

Transforming Paradigm of Artificial Intelligence for Scalable Clinical Healthcare

Ashutosh Tiwari*

Institute of Advanced Materials, IAAM, Gammalkilsvägen 18, Ulrika 590 53, Sweden

Adv. Mater. Lett., 2021, 12 (7), 21071642

DOI: 10.5185/amlett.2021.071642

Publication Date (Web): Jun 12, 2021

E-mail: director@iaam.se

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.

Keywords

Artificial intelligence,clinical healthcare,machine learning,computer-based diagnosis

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