Impacts of Artificial Intelligence Technologies on Mitigating Threats in Healthcare Sector

The healthcare sector in Oman is widely adopting novel technologies to improve operations, and overall delivery of quality care services. Even though this modernization has great advantages, it has led to an increased number of cyberattacks like sophisticated intrusion penetration attacks that steal data and cripple functions. Such attacks are becoming a significant threat to hospitals, the ministry of health, and insurance companies in Oman. These threats have substantial implications, which include data breaches or losses and financial losses. Oman’s healthcare sector has adopted conventional measures to enhance cybersecurity but these methods are vulnerable to advancing threats or attacks, which requires the implementation of innovative solutions with novel or pioneering technologies. Therefore, the purpose of this paper is to investigate the impacts of artificial intelligence technologies on mitigating cyberattacks or threats in Oman’s healthcare sector. A quantitative method was used to achieve the objectives and research questions. Statistical tools used for analysis include inferential statistics, Chi Square tests and correlation analysis. The findings revealed that artificial intelligence technologies have a greater capacity to conduct continuous evaluation of data breaches, anomalies or behavioral patterns, allowing instant detection as well as responsive action to these attacks. These technologies include predictive analysis methods, algorithms, such as artificial intelligence multisource transfer learning algorithm, neural networks, machine learning, quantum computing, quantum resistant encryption, as well as adaptive cyberthreats learning and pattern recognition. These technologies will also prevent the loss of medical data, decrease threats or adversarial attacks, and enhance cybersecurity in Oman’s healthcare.