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2024-03-08

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Si us plau utilitzeu sempre aquest identificador per citar o enllaçar aquest document: https://hdl.handle.net/2445/216908

Improving management of febrile neutropenia in oncology patients: the role of artificial intelligence and machine learning.

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Recurs relacionat

https://doi.org/10.1080/14787210.2024.2322445

Resum

Introduction: Artificial intelligence (AI) and machine learning (ML) have the potential to revolutionize the management of febrile neutropenia (FN) and drive progress toward personalized medicine. Areas covered: In this review, we detail how the collection of a large number of high-quality data can be used to conduct precise mathematical studies with ML and AI. We explain the foundations of these techniques, covering the fundamentals of supervised and unsupervised learning, as well as the most important challenges, e.g. data quality, 'black box' model interpretation and overfitting. To conclude, we provide detailed examples of how AI and ML have been used to enhance predictions of chemotherapy-induced FN, detection of bloodstream infections (BSIs) and multidrug-resistant (MDR) bacteria, and anticipation of severe complications and mortality. Expert opinion: There is promising potential of implementing accurate AI and ML models whilst managing FN. However, their integration as viable clinical tools poses challenges, including technical and implementation barriers. Improving global accessibility, fostering interdisciplinary collaboration, and addressing ethical and security considerations are essential. By overcoming these challenges, we could transform personalized care for patients with FN.

Matèries

Neutropènia, Febre, Malalts de càncer, Intel·ligència artificial, Aprenentatge automàtic

Matèries (anglès)

Neutropenia, Fever, Cancer patients, Artificial intelligence, Machine learning

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Articles publicats en revistes (Medicina)
Articles publicats en revistes (IDIBAPS: Institut d'investigacions Biomèdiques August Pi i Sunyer)

Citació

GALLARDO PIZARRO, Antonio, PEYRONY, Olivier, CHUMBITA, Mariana, MONZÓ GALLO, Patricia, AIELLO, Tommaso francesco, TEIJON LUMBRERAS, Christian, GRAS, Emmanuelle, MENSA PUEYO, Josep, SORIANO VILADOMIU, Alex, GARCIA VIDAL, Carolina. Improving management of febrile neutropenia in oncology patients: the role of artificial intelligence and machine learning.. _Expert Review of Anti-infective Therapy_. 2024. Vol. 22, núm. 4, pàgs. 179-187. [consulta: 23 de gener de 2026]. ISSN: 1478-7210. [Disponible a: https://hdl.handle.net/2445/216908]

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