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

Formative Evaluation of Digital Health Interventions (3395) Design and Usability of Medical Devices (154) Decision Support for Health Professionals (1612) Imaging Informatics (322) Machine Learning (2199) Intensive Care Unit (ICU) (166) Artificial Intelligence (2297) New Methods (1169)

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 (2) 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