External validation based on transfer learning for diagnosing atelectasis using portable chest X-rays

Article Medicine, General & Internal

Development and Validation of a Machine-Learning Model for Prediction of Extubation Failure in Intensive Care Units

Qin-Yu Zhao et al.

Summary: The study developed and prospectively validated a CatBoost model, which showed superior prediction of EF in ICUs compared to other models, with the highest AUROC of 0.835 in internal validation. According to SHAP values, MV duration and PSV level were identified as the most important features for prediction.

FRONTIERS IN MEDICINE (2021)

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Review Radiology, Nuclear Medicine & Medical Imaging

Deep learning applied to automatic disease detection using chest X-rays

Daniel A. Moses

Summary: Deep learning has rapidly advanced in automatic disease detection using chest X-rays, with promising potential. This review introduces basic concepts, DNN structure, transfer learning, and data augmentation, and reviews literature on DNN models in detecting common chest X-ray abnormalities in recent years. Performance of different techniques, models, and challenges facing DNN models are discussed.

JOURNAL OF MEDICAL IMAGING AND RADIATION ONCOLOGY (2021)

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Review Medicine, General & Internal

Data mining in clinical big data: the frequently used databases, steps, and methodological models

Wen-Tao Wu et al.

Summary: Many high-quality studies have emerged from public databases, but these data are often underutilized due to their dimensional heterogeneity, timeliness, and irregularity. Data mining technology has shown excellent performance in evaluating patient risks and building disease prediction models, especially in large-scale medical public databases. This article introduces main medical public databases, describes data mining steps, tasks, models, methods, and applications, aiming to help clinical researchers understand the application of data mining technology in clinical big data and produce research results beneficial to doctors and patients.

MILITARY MEDICAL RESEARCH (2021)

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Article Computer Science, Artificial Intelligence

Deep Learning Systems for Pneumothorax Detection on Chest Radiographs: A Multicenter External Validation Study

Yee Liang Thian et al.

Summary: The study assessed the generalizability of a deep learning pneumothorax detection model on multiple external datasets and found that the model performed well across different institutions, with performance being significantly influenced by the size of the pneumothorax.

RADIOLOGY-ARTIFICIAL INTELLIGENCE (2021)

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Article Cardiac & Cardiovascular Systems