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http://dx.doi.org/10.3390/medicina61020185 | DOI Listing |
Diagnostics (Basel)
February 2025
Department of Immunology and Pathophysiology, "Carol Davila" University of Medicine and Pharmacy, 020021 Bucharest, Romania.
The authors wish to correct the authorship of the original publication [...
View Article and Find Full Text PDFInt J Lab Hematol
March 2025
Special Coagulation Laboratory, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota, USA.
Introduction: Von Willebrand factor (VWF) multimer analysis is essential for diagnosing and classifying von Willebrand disease (VWD) but requires expert interpretation and is subject to inter-rater variability. We developed an automated image analysis pipeline using deep learning to improve the reproducibility and efficiency of VWF multimer pattern classification.
Methods: We trained a YOLOv8 deep learning model on 514 gel images (6168 labeled instances) to classify VWF multimer patterns into 12 classes.
Medicina (Kaunas)
January 2025
Department of Gastroenterology, "Carol Davila" University of Medicine and Pharmacy, 020021 Bucharest, Romania.
In the original publication [...
View Article and Find Full Text PDFDent J (Basel)
December 2024
Department of Cariology, Endodontics and Oral Pathology, School of Dental Medicine, University of Medicine and Pharmacy Iuliu Hatieganu, Str. Motilor 33, 400001 Cluj-Napoca, Romania.
: Dental pulp and its neuro-vascular bundle (NVB) are among the least studied dental tissues. This study identified the best method for evaluating ischemic risks in the dental pulp and NVB of healthy lower premolars under orthodontic forces and in intact periodontium. : Nine 3D models of the second lower premolar were reconstructed based on the CBCT scans from nine patients.
View Article and Find Full Text PDFMedicina (Kaunas)
December 2024
Department of Orthodontics, Faculty of Dental Medicine, "Iuliu Hațieganu" University of Medicine and Pharmacy, 8 Babeș Str., 400012 Cluj-Napoca, Romania.
: Our study aims to evaluate the effectiveness of ClearCorrect clear aligners (The Straumann Group) in improving gingival recession, which developed following prior fixed orthodontic treatment. The specific objectives were to assess changes in recession severity in patients with orthodontic gingival recessions following aligner therapy and to determine whether the initial severity of recession influenced improvement rates across three categories-mild (RT1), moderate (RT2), and severe (RT3)-as defined by the Cairo classification. Fifty-six patients with gingival recession from previous orthodontic treatment received aligner therapy for seven to twelve months, focusing on 146 recession sites, primarily in the lower anterior region.
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