AI-DRIVEN PRECISION MEDICINE: REVOLUTIONIZING PERSONALIZED TREATMENT PLANS

Precision medicine has been described as a revolution currently occurring in the field of healthcare. The advance of Integrated Artificial Intelligence (IAI) in precision medicine is providing a new perspective of the healthcare sector and creating high-quality efficient, individualized treatment plans. In this article, the application of artificial intelligence (AI) in precision medicine has been examined with a focus on how it improves the identification of disease risks, treatment management, and patient outcomes based on the analysis of genetics and clinical and environmental information. Applications include AI algorithms for machine learning and deep learning to enhance biomarkers’ detection, the production of accurate models, and the discovery of suitable treatments for individuals. In the area of precision medicine, AI is not limited to diagnostic and treatment recommendations, though; it is also employed in the identification of drugs for treatment, management of clinical trials, and tracking of patients’ progress. With the help of AI in healthcare, patients can receive customized and innovative care that minimizes the side effects of therapies or treatments, has higher chances of effectiveness, and enhances patient's health overall. Of course, the use of AI in precision medicine has some limitations, such as issues with data privacy and protection, the use of large and diverse datasets (especially in the case of genetic variations), and the likelihood of biases in the use of AI algorithms. Solving these issues is difficult and can only be done through teamwork where clinicians, data scientists, and policymakers can ensure that precision medicine with AI is both good and universally available. Still precision medicine is a promising interdisciplinary approach to treating patients based on their particular features, and this article gives an overview of different technologies, as well as methods and applications of precision medicine in the context of artificial intelligence. It further highlights the advantages and uncertainties concerning this fairly new and progressing area and presents suggestions as to the conception of AI in the healthcare direction.