Publications by authors named "C Boulon"
Article Synopsis
- The study aimed to evaluate machine learning and deep learning techniques for detecting systemic scleroderma using nailfold capillaroscopy images from patients in the French SCLEROCAP study.
- Machine learning classifiers showed varying performance, with the best results (F1 score of 0.79) achieved using the light gradient boosting model, while deep learning with DenseNet-121 greatly outperformed with an accuracy of 0.94.
- This research highlights the potential of advanced machine learning and deep learning methods for improving the accuracy of systemic scleroderma diagnosis through image analysis.
Article Synopsis
- The study looked at why people with systemic sclerosis often get painful sores on their fingers (called digital ulcers) and how tiny blood vessel problems contribute to this.
- Researchers measured blood pressure in the fingers of patients to find out if there was a link between lower pressure and the presence of these sores.
- The results showed that a lot of people with ulcers had lower blood pressure in their fingers, suggesting that these blood flow issues play a big role in causing ulcers, separate from other blood vessel problems.
In the latest American Heart Association guidelines, influenza vaccination is recommended for patients with peripheral arterial disease (PAD). The vaccination coverage in this specific population is currently unknown. This study aims to determine the adherence to influenza vaccination in a PAD population and identify associated determinants.
View Article and Find Full Text PDFBackground: Iloprost has been proposed as an alternative to amputation in Critical Limb Ischemia (CLI) patients when revascularization was unsuccessful or not possible. Nonetheless, there is limited evidence of its benefit. The main objective was to evaluate the effectiveness of iloprost and the secondary objective was to evaluate its safety.
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