@inbook{d416cc1e4dd04d3cb127613f3979d2f3,
title = "Artificial Intelligence in Sepsis",
abstract = "Healthcare today generates large amounts of data. We can use technologies such as artificial intelligence (AI) to gain valuable new insights into complex problems. Over the past few years, the sepsis research field has shown considerable interest in using AI applications to improve patient care. This chapter provides a high-level overview of AI and the various techniques prevalent in the AI literature for sepsis. With that baseline knowledge of AI techniques, we will look at studies examining AI assistance to understand the sepsis pathogenesis or improve the sepsis diagnosis, treatment, and prognosis. We will conclude the chapter with a discussion of challenges that we still need to overcome to mainstream AI in sepsis management.",
author = "Michiel Schinkel and Ketan Paranjape and Nanayakkara, {Prabath W. B.} and Wiersinga, {W. Joost}",
year = "2022",
month = jan,
day = "1",
doi = "https://doi.org/10.1016/B978-0-323-88271-2.00021-3",
language = "English",
isbn = "9780323882804",
series = "The Sepsis Codex",
publisher = "Elsevier",
pages = "323--331",
booktitle = "The Sepsis Codex",
}