Next-Generation Threat Intelligence: Securing Governmental Healthcare Networks Against Evolving Risks

Abstract

As global healthcare systems encounter difficulties including rising prices, restricted access, and increasing demand for personalised treatment, artificial intelligence (AI) is emerging as a pivotal agent of transformation. This assessment is driven by the pressing necessity to leverage AI's capabilities to address these challenges and seeks to critically evaluate AI's incorporation across several healthcare sectors. We examine how AI enhances clinical decision-making, streamlines hospital operations and administration, improves medical image processing, and transforms patient care and monitoring via AI-enabled wearables. We examine several case studies to illustrate how AI has revolutionised particular healthcare sectors, while also addressing the persistent difficulties and potential remedies. Furthermore, we will examine approaches for evaluating AI healthcare solutions, the ethical dilemmas associated with AI implementation, and the significance of data protection and bias reduction for the responsible application of technology. This review provides a critical evaluation of AI's transformational potential, enhancing academics' comprehension of AI's present and future effects on healthcare. It promotes multidisciplinary discourse among academics, physicians, and engineers to address the intricacies of AI deployment, facilitating the creation of AI-driven solutions that emphasise ethical norms, equity, and a patient-centered methodology.