EDITORIAL
Published on 11 Apr 2025
Editorial: Clinical application of artificial intelligence in emergency and critical care medicine, volume V
doi 10.3389/fmed.2025.1593416
- Frontiers in Medicine
- Intensive Care Medicine and Anesthesiology
- Research Topics
- Clinical Application of Artificial Intelligence in Emergency and Critical Care Medicine, Volume V
Clinical Application of Artificial Intelligence in Emergency and Critical Care Medicine, Volume V
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Articles
ORIGINAL RESEARCH
Published on 11 Apr 2025
Predicting nosocomial pneumonia of patients with acute brain injury in intensive care unit using machine-learning models
doi 10.3389/fmed.2025.1501025
- 175 views
CORRECTION
Published on 26 Mar 2025
Corrigendum: Development and validation of a web-based nomogram for acute kidney injury in acute non-variceal upper gastrointestinal bleeding patients
doi 10.3389/fmed.2025.1593738
- 130 views
ORIGINAL RESEARCH
Published on 07 Jan 2025
Transformer-based model for predicting length of stay in intensive care unit in sepsis patients
doi 10.3389/fmed.2024.1473533
- 629 views
REVIEW
Published on 07 Jan 2025
Advances in the clinical application of machine learning in acute pancreatitis: a review
doi 10.3389/fmed.2024.1487271
- 602 views
- 1 citation
ORIGINAL RESEARCH
Published on 06 Jan 2025
Comparison between traditional logistic regression and machine learning for predicting mortality in adult sepsis patients
doi 10.3389/fmed.2024.1496869
- 1,050 views
- 1 citation
ORIGINAL RESEARCH
Published on 06 Jan 2025
Predicting the risk of gastroparesis in critically ill patients after CME using an interpretable machine learning algorithm – a 10-year multicenter retrospective study
doi 10.3389/fmed.2024.1467565
- 414 views
ORIGINAL RESEARCH
Published on 01 Nov 2024
RIG012 assists in the treatment of pneumonia by inhibiting the RIG-I-like receptor signaling pathway
doi 10.3389/fmed.2024.1501761
- 646 views
SYSTEMATIC REVIEW
Published on 16 Oct 2024
Early detection of sepsis using machine learning algorithms: a systematic review and network meta-analysis
doi 10.3389/fmed.2024.1491358
- 3,249 views
- 4 citations
ORIGINAL RESEARCH
Published on 03 Oct 2024
Survival prediction for heart failure complicated by sepsis: based on machine learning methods
doi 10.3389/fmed.2024.1410702
- 1,856 views
- 1 citation
ORIGINAL RESEARCH
Published on 03 Oct 2024
Development and validation of a web-based nomogram for acute kidney injury in acute non-variceal upper gastrointestinal bleeding patients
doi 10.3389/fmed.2024.1474311
- 523 views
ORIGINAL RESEARCH
Published on 20 Sep 2024
The application of metagenomics, radiomics and machine learning for diagnosis of sepsis
doi 10.3389/fmed.2024.1400166
- 579 views
