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This paper is in the following e-collection/theme issue:

Formative Evaluation of Digital Health Interventions (3495) New Methods (1189) Decision Support for Health Professionals (1657) Design and Usability of Medical Devices (164) Imaging Informatics (339) Machine Learning (2257) Artificial Intelligence (2389) Intensive Care Unit (ICU) (168)

Published on in Vol 9 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/72482, first published .
AI Model Based on Diaphragm Ultrasound to Improve the Predictive Performance of Invasive Mechanical Ventilation Weaning: Prospective Cohort Study

AI Model Based on Diaphragm Ultrasound to Improve the Predictive Performance of Invasive Mechanical Ventilation Weaning: Prospective Cohort Study

AI Model Based on Diaphragm Ultrasound to Improve the Predictive Performance of Invasive Mechanical Ventilation Weaning: Prospective Cohort Study

Authors of this article:

Feier Song1 Author Orcid Image ;   Huazhang Liu2 Author Orcid Image ;   Huan Ma3 Author Orcid Image ;   Xuanhui Chen2 Author Orcid Image ;   Shouhong Wang4 Author Orcid Image ;   Tiehe Qin4 Author Orcid Image ;   Huiying Liang2 Author Orcid Image ;   Daozheng Huang4, 5 Author Orcid Image
Article Authors Cited by (4) Tweetations Metrics

Journals

  1. Puticiu M, Cimpoesu D, Pop F, Ciumanghel I, Rotaru L, Oprita B, Butoi M, Belghiru V, Tat R, Golea A. AI-Enhanced POCUS in Emergency Care. Diagnostics 2026;16(2):353 View
  2. Nerz L, Häberle H. Weaning von der Beatmung. AINS - Anästhesiologie · Intensivmedizin · Notfallmedizin · Schmerztherapie 2026;61(02):120 View
  3. Muhoza B, Liu S, Niyonkuru E, Sun T. Circulating and Respiratory Biomarkers in Sepsis-Induced ARDS: Diagnostic and Prognostic Insights – A Narrative Review. Journal of Inflammation Research 2026;Volume 19:1 View
  4. Wang Y, Bai Y, Jin G. Explainable deep-learning models to predict diaphragmatic dysfunction and cognitive stress in ICU patients under mechanical ventilation. Frontiers in Physiology 2026;17 View