Activating the role of Saudi universities in the renaissance and development of interdisciplinary scientific research between various health sciences and others using artificial intelligence

Abstract

Artificial Intelligence “AI” has become a vital area of research in all fields in the 21st century: science, engineering, education, business, medicine, accounting, marketing, finance, economics, law, stock market, among others. The array of artificial intelligence has increased extremely since the intelligence of machines with machine learning abilities has produced immense impacts on governments, society and business. AI also influences the larger developments in worldwide sustainability. The primary aim of the present study is to evaluate the obstacles to activating artificial intelligence and exploitation of information revolution in scientific research in the fields of health sciences and humanities, the objectives of scientific research using artificial intelligence in universities, the mechanisms for activating scientific research for students in the universities by using the artificial intelligence, the obstacles to activating the role of scientific research directed to serve health and human sciences using technology using technology and artificial intelligence as well as the correlation between these variables. A simple random sampling technique was utilized for this study. A structured questionnaire was administered to individuals associated with Universities in Saudi Arabia. The data sample consisted of 257 respondents. The collected data was statistically analyzed using Statistical Package for Social Science (SPSS) version 20. The study showed that the objectives of scientific research using artificial intelligence in universities are a significant positive predictor of obstacles to activating artificial intelligence and exploiting the information revolution in the health and human scientific research in Saudi universities. The study also revealed that there is statistical significant (p < 0.05) correlation between each of the variables