THE IMPACT OF ARTIFICIAL INTELLIGENCE ON PERSONALIZED MEDICINE: A VISIONARY REVIEW OF INNOVATIONS, CHALLENGES & FUTURE POSSIBILITIES

Abstract

Integrating artificial intelligence (AI) in personalized medicine revolutionizes healthcare by enabling tailored treatments and interventions. AI analyzes complex data from genomics, electronic health records, and wearable devices to enhance diagnostic accuracy, accelerate drug discovery, and support individualized treatment planning. While AI's potential benefits are vast, challenges such as data privacy concerns, algorithmic bias, high implementation costs, and lack of regulatory frameworks must be addressed. To unlock AI's full potential in personalized medicine, it is crucial to develop ethical guidelines, ensure model transparency, and foster collaboration among healthcare professionals, AI researchers, and policymakers. This article explores AI's current role, challenges, and future possibilities in personalized medicine, highlighting its potential to transform healthcare and improve patient outcomes. As AI continues to evolve, it is essential to prioritize patient-centered care, ensure data security, and promote transparency in AI decision-making processes. Ultimately, the future of personalized medicine depends on our ability to harness AI's potential while addressing its challenges and limitations. With careful planning, collaboration, and innovation, AI can help us achieve better health outcomes, improve patient experiences, and reduce healthcare costs.