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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9891467 | PMC |
| http://dx.doi.org/10.1182/ject-54301 | DOI Listing |
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Assessment of dyslipidemia management in Turkey using a Delphi panel.
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Department of Cardiology, Hacettepe University Faculty of Medicine, Ankara, Turkey.
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View Article and Find Full Text PDFCross-domain lung opacity detection via adversarial learning and box fusion.
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The Engineering & Technical College of Chengdu University of Technology, Xiaoba Road, Leshan, 614000, China.
Many conditions, such as pulmonary edema, bleeding, atelectasis or collapse, lung cancer, and shadow formation after radiotherapy or surgical changes, cause Lung Opacity. An unsupervised cross-domain Lung Opacity detection method is proposed to help surgeons quickly locate Lung Opacity without additional manual annotations. This study proposes a novel method based on adversarial learning to detect Lung Opacity on chest X-rays.
View Article and Find Full Text PDFImpact of Inflammation After Cardiac Surgery on 30-Day Mortality and Machine Learning Risk Prediction.
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Division of Cardiac Surgery, Department of Medical and Surgical Sciences, University of Foggia, Foggia, Italy; Division of Cardiac Surgery, Santa Maria Hospital, GVM Care & Research, Bari, Italy. Electronic address:
Objectives: To investigate the impact of systemic inflammatory response syndrome (SIRS) on 30-day mortality following cardiac surgery and develop a machine learning model to predict SIRS.
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European Society of Thoracic Surgeons Presidential Address 2024. Adapting to change: embracing lifelong learning curves.
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University of Szeged, Szeged, Hungary.
Interobserver Variability in Manual Versus Semi-Automatic CT Assessments of Small Lung Nodule Diameter and Volume.
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Centre for Research and Development, Uppsala University, Region Gävleborg, SE 801 88 Gävle, Sweden.
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