Artificial Intelligence in the Intensive Care Unit

Abstract

This article is one of ten reviews selected from the Annual Update in Intensive Care and Emergency Medicine 2020. Other selected articles can be found online at https://www.biomedcentral.com/collections/annualupdate2020. Further information about the Annual Update in Intensive Care and Emergency Medicine is available from http:// www.springer.com/series/8901.

What Can COVID-19 Teach Us about Using AI in Pandemics?

“…When independent publications covering similar subjects had no relevant peer-reviewed professional counterpart, the authors looked for the most representative article among the independent publications covering similar topics. Artificial intelligence (AI) contains the potential to address all these pandemic challenges, a fact slowly being realized by healthcare stakeholders [9][10][11][12][13][14]. In this manuscript, we will define the AI as algorithms built on mathematical models, themselves continuously and automatically refined through iteration within a "training dataset," that is, through a set of examples used to increase their prediction capabilities [10].…”

“…Need for prompt human validation and response [1,[9][10][11][12]15,17,26,[63][64][65][66][67] Can AI mitigate the spread of biological diseases and guide early treatment?…”

“…Privacy and appropriateness of predictive modeling [1,11,12,68] How might AI guide medical management and resource allocation?…”

Artificial Intelligence: What Is It and How Can It Expand the Ultrasound Potential in the Future?

“…In medical field, AI has already been used in drug discovery and design [2], drug interaction checks [3], molecular diagnostics, clinical decision support [4], and imaging [5]. The main novelty is the ability of AI applications of discerning patterns by scrutinizing and analyzing massive amounts of stored digital information.…”

“…Im medizinischen Bereich wurde KI bereits für die Entdeckung und Entwicklung von Arzneimitteln [2], bei der Prüfung von Medikamenteninteraktionen [3], in der molekularbiologischen Diagnostik, in der klinischen Entscheidungshilfe [4] und in der Bildgebung [5] eingesetzt. Die wichtigste Neuerung besteht in der Fähigkeit der KI, Muster zu erkennen, indem riesige Mengen gespeicherter digitaler Informationen untersucht und analysiert werden.…”