The Role and Application of Artificial Intelligence (AI) in Leveraging Big Data in the Healthcare Domain

Hamed  Jabbari; Nooshin Bigdeli

doi:10.61838/kman.hn.1.2.11

Authors

Hamed Jabbari Department of Control Engineering, Faculty of Engineering, Imam Khomeini International University, Qazvin, Iran.

Nooshin Bigdeli * Department of Control Engineering, Faculty of Engineering, Imam Khomeini International University, Qazvin, Iran. n.bigdeli@eng.ikiu.ac.ir

https://doi.org/10.61838/kman.hn.1.2.11

Keywords:

Healthcare, Artificial Intelligence, Big Data, Machine Learning

Abstract

The increasing incidence of diverse diseases and various forms of cancer on a global scale underscores the urgency for innovative preventive and therapeutic approaches within healthcare. Advanced stages of diseases and certain types of cancers, frequently resistant to traditional treatment methods, highlight the critical significance of early diagnosis. Detecting these conditions at an early stage significantly enhances the prospects for successful intervention and treatment. In the realm of healthcare, the advent of technologies like digital imaging has revolutionized the way patient information is captured. This has led to the accumulation of vast datasets, necessitating a shift towards more sophisticated analytical tools. Artificial Intelligence (AI) emerges as a crucial player in this scenario, leveraging its capabilities to sift through and interpret the extensive patient data with remarkable efficiency. By harnessing the power of big data, AI not only facilitates more effective analysis but also holds the potential to revolutionize the early detection process for various types of cancers. The synergy between artificial intelligence and extensive patient data sets a promising foundation for advancing diagnostic capabilities and ultimately improving patient outcomes. In this letter, the role of AI in utilizing big data in the healthcare domain is examined. Additionally, some leading centers in the field of collecting large datasets for early detection of cancers are introduced.

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