Deep Learning for the Early Diagnosis of Candidemia

Deep Learning for the Early Diagnosis of Candidemia

Abstract Introduction Candidemia carries a heavy burden in terms of mortality, especially when presenting as septic shock, and its early diagnosis remains crucial. Methods We assessed the performance of a deep learning model for the early differential diagnosis between candidemia and bacteremia. The...

Full description

Saved in:
Bibliographic Details
Main Authors: Daniele Roberto Giacobbe, Sabrina Guastavino, Anna Razzetta, Cristina Marelli, Sara Mora, Chiara Russo, Giorgia Brucci, Alessandro Limongelli, Antonio Vena, Malgorzata Mikulska, Alessio Signori, Antonio Di Biagio, Anna Marchese, Ylenia Murgia, Marco Muccio, Nicola Rosso, Michele Piana, Mauro Giacomini, Cristina Campi, Matteo Bassetti
Format: Article
Language:English
Published: Adis, Springer Healthcare 2025-06-01
Series:Infectious Diseases and Therapy
Subjects:
Candida
Machine learning
Artificial intelligence
Biomarker
Neural networks
Online Access:https://doi.org/10.1007/s40121-025-01171-w
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items