Preventing Cybercrimes through Use of AI in Healthcare: Prospects and Challenges

Abstract

Artificial Intelligence (AI) is poised to revolutionize the healthcare sector globally, aligning with the government's initiative to enhance healthcare services through digital transformation. This study discusses the current challenges in the healthcare system. It illustrates how AI technologies can address these issues through predictive analytics, telemedicine, robotic surgery, natural language processing, and drug discovery. Moreover, it emphasizes the ethical considerations and challenges associated with AI implementation, including data privacy and the need for workforce training. By fostering collaboration between government, healthcare providers, and technology companies, healthcare systems can leverage AI to improve patient outcomes and create a sustainable healthcare system that meets the needs of its growing population. The study used a cross-sectional quantitative method with 219 samples. The study finds that all variables are positively and significantly associated, while predictors predict the criterion variable. The study was conducted with a small sample size; hence results could not be generalized. Future researchers need to perform the study with a larger sample size to get a broader picture of the issue to overcome the threats of cybercrimes against digital platforms in healthcare through the application of AI.