Findings from University of Toronto Provide New Insights into Artificial Intelligence (Integrating artificial intelligence into healthcare systems: more than just the algorithm).
In: Blood Weekly, 2024-03-21, S. 246-246
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Zugriff:
A recent study conducted at the University of Toronto evaluated a deep learning sepsis prediction model called COMPOSER in two emergency departments at UC San Diego Health. The study found that over a five-month implementation period, there was a 17% reduction in in-hospital sepsis mortality and a 10% increase in sepsis bundle compliance. The researchers emphasize the importance of evaluating clinically relevant outcomes, such as mortality reduction, when adopting artificial intelligence tools in healthcare. They also highlight the need for continuous monitoring systems to ensure the adaptability of these tools in the ever-evolving healthcare landscape. [Extracted from the article]
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Findings from University of Toronto Provide New Insights into Artificial Intelligence (Integrating artificial intelligence into healthcare systems: more than just the algorithm).
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Zeitschrift: | Blood Weekly, 2024-03-21, S. 246-246 |
Veröffentlichung: | 2024 |
Medientyp: | serialPeriodical |
ISSN: | 1065-6073 (print) |
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