The Missing Pieces of Artificial Intelligence in Medicine.

Clicks: 316
ID: 2186
2019
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Ranked #3 of 39 articles by views in trends in pharmacological sciences

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Abstract
Stakeholders across the entire healthcare chain are looking to incorporate artificial intelligence (AI) into their decision-making process. From early-stage drug discovery to clinical decision support systems, we have seen examples of how AI can improve efficiency and decrease costs. In this Opinion, we discuss some of the key factors that should be prioritized to enable the successful integration of AI across the healthcare value chain. In particular, we believe a focus on model interpretability is crucial to obtain a deeper understanding of the underlying biological mechanisms and guide further investigations. Additionally, we discuss the importance of integrating diverse types of data within any AI framework to limit bias, increase accuracy, and model the interdisciplinary nature of medicine. We believe that widespread adoption of these practices will help accelerate the continued integration of AI into our current healthcare framework.
Reference Key
gilvary2019thetrends Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Gilvary, Coryandar;Madhukar, Neel;Elkhader, Jamal;Elemento, Olivier;
Journal trends in pharmacological sciences
Year 2019
DOI
S0165-6147(19)30131-2
URL
Keywords Keywords not found

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