Artificial Intelligence in Healthcare: Applications, Challenges, and Future Perspectives

Abstract

Artificial Intelligence (AI) has emerged as a transformative technology in the healthcare sector, offering significant opportunities to improve medical services, research, and patient care. AI-based technologies such as machine learning, deep learning, and natural language processing are increasingly used in various healthcare applications, including medical imaging, diagnostics, drug discovery, vaccine development, virtual patient care, and rehabilitation. These technologies also assist healthcare professionals in improving patient engagement, treatment adherence, and administrative efficiency. AI-driven systems can analyze large and complex datasets, support clinical decision-making, and reduce the workload of healthcare professionals. Despite these benefits, the adoption of AI in healthcare presents several challenges. Ethical and social concerns such as data privacy, security, algorithmic bias, accountability, and transparency remain major obstacles. Governance and regulatory frameworks are also required to ensure the safe and responsible use of AI technologies in clinical environments. In addition, technical limitations including data availability, model reliability, interpretability issues, and infrastructure costs may hinder the widespread implementation of AI systems. This article reviews the major applications of artificial intelligence in healthcare and highlights the ethical, governance, and technical challenges associated with its use. It also discusses the disadvantages and limitations of AI technologies and emphasizes the importance of developing responsible AI frameworks that align technological advancements with human values and healthcare needs. The study concludes that while AI has the potential to significantly enhance healthcare systems, careful planning, regulatory oversight, and collaboration between healthcare professionals and technology experts are essential to ensure its safe and effective integration.