Open AccessHow Can Artificial Intelligence Make Medicine More Preemptive?
Author(s) -
Usman Iqbal,
Leo Anthony Celi,
Yu-Chuan Li
Publication year - 2020
Publication title -
jmir. journal of medical internet research/journal of medical internet research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.446
H-Index - 142
eISSN - 1439-4456
pISSN - 1438-8871
DOI - 10.2196/17211
Subject(s) - artificial intelligence , computer science , task (project management) , big data , health care , predictive analytics , machine learning , flourishing , precision medicine , personalized medicine , automation , applications of artificial intelligence , data science , medicine , data mining , engineering , psychology , bioinformatics , mechanical engineering , systems engineering , pathology , biology , economics , psychotherapist , economic growth
In this paper we propose the idea that Artificial intelligence (AI) is ushering in a new era of “Earlier Medicine,” which is a predictive approach for disease prevention based on AI modeling and big data. The flourishing health care technological landscape is showing great potential—from diagnosis and prescription automation to the early detection of disease through efficient and cost-effective patient data screening tools that benefit from the predictive capabilities of AI. Monitoring the trajectories of both in- and outpatients has proven to be a task AI can perform to a reliable degree. Predictions can be a significant advantage to health care if they are accurate, prompt, and can be personalized and acted upon efficiently. This is where AI plays a crucial role in “Earlier Medicine” implementation.