Published in:
Open Access
01-12-2019 | Artificial Intelligence | Editorial
Intelligently learning from data
Authors:
Edward Palmer, Roman Klapaukh, Steve Harris, Mervyn Singer, the INFORM-lab
Published in:
Critical Care
|
Issue 1/2019
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Excerpt
Methods from the fields of artificial intelligence (AI) and machine learning (ML) are entering the medical literature at an unprecedented rate. A PubMed search using the keyword “Machine Learning” has shown an accelerating year-on-year increase in publications. Leveraged with “big data”, these approaches are often lauded as transformative in healthcare with the promise that they can and will solve all of our problems [
1]. While these developments are indeed exciting, we caution the need to place realistic constraints on our expectations. …