Document Type
Article
Publication Date
2024
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.
Publication Title
Journal of Population Therapeutics & Clinical Pharmacology
Recommended Citation
Rizwanullah; Hyderi, Fardin Akbar; Obadan, Gifty E.; Hamad, Samah Badr; Elessawy, Hashem; and Ahmadi, Tahera, "The Role of Artificial Intelligence in Predictive Medicine: Review" (2024). Transitional Year Resident Research. 7.
https://digitalcommons.pcom.edu/transitional_year_residents/7
Comments
This article was published in Journal of Population Therapeutics and Clinical Pharmacology, Volume 31, Issue 8.
The published version is available at https://doi.org/10.53555/jptcp.v31i8.7460.
Copyright © 2024. CC BY-NC.