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Multitask learning to predict successful weaning in critically ill ventilated patients: A retrospective analysis of the MIMIC-IV database.
Digit Health
October 2024
Department of Critical Care Medicine, Taichung Veterans General Hospital, Taichung.
Article Synopsis
- This study looks at how well a special type of computer learning can predict if critically ill patients on ventilators can breathe on their own again.
- The researchers used a large database of patient information and found that a multitask learning system worked better when it focused on certain tasks together.
- Overall, the study showed that using this special learning method helped make better predictions and the researchers also looked at mistakes made by the model to improve it.
[Accuracy of multi-task network based on vision Transformer in the three-dimensional upper airway analysis].
Zhonghua Kou Qiang Yi Xue Za Zhi
September 2024
State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, Key Laboratory of Oral Biomedicine Ministry of Education, Hubei Key Laboratory of Stomatology, School & Hospital of Stomatology, Wuhan University, Wuhan 430079, China.
To explore the accuracy of a multi-task model based on vision Transformer for analyzing the three-dimensional (3D) upper airway and its subregions, and to evaluate its clinical applicability. According to the inclusion and exclusion criteria, cone-beam CT (CBCT) data of 10 patients [4 males and 6 females, (20.8±2.
View Article and Find Full Text PDFImproving difficult direct laryngoscopy prediction using deep learning and minimal image analysis: a single-center prospective study.
Sci Rep
June 2024
Division of Big Data and Artificial Intelligence, Institute of New Frontier Research, Chuncheon Sacred Heart Hospital, Hallym University College of Medicine, Chuncheon, 24253, Republic of Korea.
Accurate prediction of difficult direct laryngoscopy (DDL) is essential to ensure optimal airway management and patient safety. The present study proposed an AI model that would accurately predict DDL using a small number of bedside pictures of the patient's face and neck taken simply with a smartphone. In this prospective single-center study, adult patients scheduled for endotracheal intubation under general anesthesia were included.
View Article and Find Full Text PDFMultitasking within the airway epithelium.
Eur Respir J
May 2024
Department of Human Genetics, University of Chicago, Chicago, IL, USA.
BM-BronchoLC - A rich bronchoscopy dataset for anatomical landmarks and lung cancer lesion recognition.
Sci Data
March 2024
University of Engineering and Technology, Vietnam National University, Hanoi, 10000, Vietnam.
Flexible bronchoscopy has revolutionized respiratory disease diagnosis. It offers direct visualization and detection of airway abnormalities, including lung cancer lesions. Accurate identification of airway lesions during flexible bronchoscopy plays an important role in the lung cancer diagnosis.
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