Computational Sciences and Artificial Intelligence in Industry

COVID-19 pandemic is not slowing down, while the government from various countries is currently designing the ‘new normal’ to restart back their economy. Up to now, there is a significant mortality rate in the health care professionals that act as the frontliners in the hospitals and clinics in battling the COVID-19 menace. Based on computational sciences studied since the 1960s, artificial intelligence (AI) could assist healthcare professionals to protect themselves from the SARS-CoV-2 virus and treat the patients in an efficient and secure manner. AI, starting from the diagnosis, treatment, medication, until the prediction of the next pandemic, could assist in various areas. The objective of this review is to highlight AI in the health sciences in order to assist healthcare professionals in facing the COVID-19 pandemic, and the threat of the future pandemics.International Journal of Human and Health Sciences Vol. 05 No. 02 April’21 Page: 177-184

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Artificial Intelligence Perspective on Healthcare

10.31219/osf.io/ne6ax ◽

2020 ◽

Author(s):

Rehab A. Rayan

Keyword(s):

Artificial Intelligence ◽

Information Technology ◽

Patient Care ◽

Present State ◽

Medical Devices ◽

Computational Sciences ◽

Key Issues ◽

The Common ◽

Transformation Pattern ◽

Everyday Living

Progress in computational sciences for cleaning, sorting, combining, digging, visualizing and managing data along with technological advancements in medical devices have urged needs for further extensive and consistent approaches to discuss the common key issues in medicine and health. Artificial Intelligence (AI) has significantly obtained grounds in everyday living in the era of information technology, and it has now landed in healthcare. AI studies’ in healthcare are evolving swiftly. However, it could only be the start of observing how it will influence patient care. AI tries to simulate human cognitive capacities. It is carrying a transformation pattern to healthcare, strengthened by the escalating availability of clinical data and sped up advancement in analytics systems. Nonetheless, there is a similar doubt, including some pressing warnings at these elevated anticipations. This review examines the present state of AI applications in health, major developments in health AI, and the disparate consequences of health AI and offers some directions for institutions and caregivers utilizing AI techniques.

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