Abstract

This review delves into the rapidly growing influence of Artificial Intelligence (AI) across various medical domains, focusing on its advancements in areas such as diagnostics, medical imaging, treatment planning, Electronic Health Records (EHRs) and the discovery of new drugs. It underscores AI’s pivotal role in enhancing the accuracy and efficiency of diagnoses, particularly in the fields of radiology and pathology. This includes the use of convolutional neural networks and ensemble learning for analyzing medical images. The article also examines how AI aids in precision medicine and in devising personalized treatment plans by utilizing patient-specific data and genetic information, thereby improving decision-making processes. The integration of AI into EHRs is explored, with a special emphasis on predictive analytics and clinical decision support systems (CDSS), aiming to elevate patient care and clinical outcomes. Furthermore, the review touches on AI’s revolutionary impact in the realm of drug development, where it expedites drug discovery and repurposing using advanced machine learning and deep learning techniques. Looking ahead, the potential future paths of AI in healthcare include furthering precision medicine, merging AI with robotic technologies and enhancing communication through natural language processing. For effective AI implementation in healthcare, concerted efforts in ethical considerations and regulatory compliance are necessary. The application of AI in healthcare highlights the urgent need for cross-disciplinary collaboration and a patient-focused approach to fully harness AI’s capabilities in the medical field.