New Era of Intelligent Medicine: Future Scope and Challenges

The integration of Artificial Intelligence (AI) into the global healthcare landscape has undergone a remarkable transformation, presenting unprecedented opportunities and challenges. This review explores the transformative impact of Artificial Intelligence (AI) in global health care, examining current applications, growth projections, and challenges. The projected compound annual growth rate (CAGR) for the healthcare AI market is 37%, reaching $188 billion by 2030. AI's potential to reduce drug development costs and prevent medication dosing errors is evident. From early models like CASNET to contemporary Deep Learning, AI has revolutionized medical diagnostics. The review envisions a future with accessible healthcare through chatbots and telemedicine, data-driven AI platforms for personalized treatment, and global health data cards. Technological advancements, including increased computational power and cloud storage, play a pivotal role, with challenges in managing vast and heterogeneous medical data. The review concludes by addressing the potential of dynamic AI models and the challenges AI must overcome for future medical impact.