How AI is Revolutionizing Healthcare: From Personalized Medicine and Diagnostic Tools to Drug Discovery and Robot-Assisted Surgery

Abstract

The paper aims at assessing the role of Artificial Intelligence in healthcare innovation through considering its roles in individualized treatment, diagnosing systems, and drug discovery as well as surgical robots. In this context, the analyzed AI technologies provide progressive developments which answer the traditional global problems of the healthcare industry, such as the increasing need for personalized therapies and the complex medical care organization. Machine learning and other AI techniques provide the ability to interpret large amounts of patient-specific data, including genetic makeup and lifestyle, to assist in arriving at treatment regimens that will enhance outcomes in treatment resistant diseases such as cancer. Diagnostic tools have progressed tremendously in recent years due to Machine learning and deep learning advancement in algorithms such as Convolutional neural networks (CNNs) for medical imaging and disease diagnosis and detection have significantly been enhanced. Moreover, it continues working on drug discovery by pointing out probable therapeutic applications and optimizing clinical trials. AI is beneficial to robotic surgery; machines used in operating rooms come with advanced AI ability, thus improving their performance. This research highlights the wonderful possibilities of AI to transform the healthcare systems and provide a better chance for improvement in the medical services delivery and to use the resources effectively.