Algorithmic Precision Medicine: Harnessing Artificial Intelligence for Healthcare Optimization
Anubhav Chaurasia *
Department of Pharmacy, Aryakul College of Pharmacy and Research, India.
*Author to whom correspondence should be addressed.
Abstract
Artificial Intelligence (AI) has emerged as a transformative force in the healthcare sector, revolutionizing various facets of medical practice, research, and administration. This paper provides a comprehensive exploration of AI applications in healthcare, including diagnostic tools, patient management systems, drug discovery, and ethical considerations. Real-world case studies and success stories illustrate the tangible impact of AI, such as IBM Watson for Oncology and Google DeepMind's Streams, which enhance diagnostic accuracy and early disease detection. Furthermore, emerging research areas in AI, including explainable AI and federated learning, hold promise for addressing ethical and privacy concerns while advancing medical knowledge. The integration of AI into healthcare promises to improve patient outcomes, streamline operations, and reduce costs. This paper underscores the significance of responsible AI deployment and encourages continued research and innovation to harness AI's full potential in shaping the future of healthcare.
Keywords: AI in healthcare, medical AI applications, AI-driven diagnostics, patient management systems, drug discovery, ethical AI, data privacy, regulatory frameworks, emerging research, telemedicine, personalized medicine, explainable AI, federated learning, AI ethics, disease prediction, precision medicine, medical imaging AI