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How Can Artificial Intelligence Make Medicine More Preemptive?

Usman IqbalLeo Anthony CeliYu Chuan Jack Li
Published in: Journal of medical Internet research (2020)
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.
Keyphrases
  • artificial intelligence
  • big data
  • healthcare
  • machine learning
  • deep learning
  • primary care
  • depressive symptoms
  • case report
  • quality improvement
  • climate change