THE ROLE OF ARTIFICIAL INTELLIGENCE IN PREDICTIVE MEDICINE: REVIEW
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Keywords
Artificial Intelligence, Predictive Medicine, Machine Learning, Personalized Medicine,, Precision Medicine, Targeted Therapy
Abstract
Artificial Intelligence (AI) is transforming healthcare, especially in the field of predictive medicine. AI is used in predictive medicine to foresee the development of diseases, enhance treatment planning, and boost patient outcomes by enabling early intervention. Artificial intelligence is rapidly becoming a vital component of contemporary healthcare.
AI-powered algorithms and applications are increasingly being utilized to assist medical professionals in clinical environments and to support ongoing research efforts. Given the enormous volume of data produced in healthcare, AI systems can identify patterns, forecast outcomes, and provide tailored interventions. This review delves into the various ways AI is applied in predictive medicine, such as in early disease detection, personalized treatment approaches, chronic disease management, and forecasting disease outbreaks. By harnessing extensive datasets and sophisticated algorithms, AI has the capability to revolutionize healthcare, making it more proactive and customized to the needs of individual patients.
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Rizwanullah
Department of Medicine, Hayatabad Medical Complex, Pakistan
Fardin Akbar Hyderi
Department of Medicine, Bangladesh Medical College, BangladeshGiftty E. Obadan
Department of Medicine, Philadelphia College of Osteopathic Medicine, USASamah Badr Hamad
Department of Basic Medical Sciences, University of Khartoum, Sudan