Artificial Intelligence (AI) in the medical field has been receiving attention from health professionals and researchers worldwide. The complexity and challenging aspects of healthcare are transformed by AI, with the potential for improvement in patient care and quality of life. The advancements in AI can revolutionize healthcare through integration into clinical practice. These tools can analyse vast datasets and detect patterns, enabling them to exceed human performance in various aspects of healthcare. Implementing augmented medicines allows for superior autonomy and personalised treatment among patients. The increase in the inclusion of AI in medical frontiers has created the need to validate these tools with clinical trials towards the upgrade of medical curriculum with digital medicine and ethical considerations on current monitoring. The current review aimed to discuss the evolution of AI in promising avenues of healthcare such as diagnostics, medical imaging, drug development, clinical trials, surgery, and patient monitoring. The review also addresses the economic impact of AI in healthcare, followed by the efficiency and financial impact on patients and hospitals. Despite the beneficial impact, several challenges, such as ethical and regulatory concerns, also influence the integration of AI. By tackling these challenges, AI's potential can be fully realized, making healthcare more accessible to patients worldwide.
Kamalesh et al. (2025) studied this question.