Publications by authors named "M Cicciu"
Literature evidenced an association of maternal sleep disturbances and maternal obstructive sleep apnea with significant obstetric complications. Moreover, the maternal sleep disturbances effect on feto-placental circulation had not been extensively examined. Our objective is to explore the possible maternal sleep disturbances impact on the feto-placental indices evaluated through the Doppler study.
View Article and Find Full Text PDFBackground: With the use of machine learning algorithms, artificial intelligence (AI) has become a viable diagnostic and treatment tool for oral cancer. AI can assess a variety of information, including histopathology slides and intraoral pictures.
Aim: The purpose of this systematic review is to evaluate the efficacy and accuracy of AI technology in the detection and diagnosis of oral cancer between 2020 and 2024.
This study investigates the efficacy of Kinesio taping (KT) in reducing postoperative discomfort, including edema, trismus, and pain, following mandibular third molar extraction. A prospective randomized split-mouth design was employed, involving 7 patients with impacted mandibular third molars. KT was applied immediately postsurgery, and outcomes were assessed on the third and seventh postoperative days using a Visual Analog Scale (VAS) for pain, 3D morphometric analysis for swelling, and caliper measurements for trismus.
View Article and Find Full Text PDFArticle Synopsis
- Root surface caries is a dental issue primarily affecting older adults due to gum recession and poor oral hygiene, making early diagnosis essential for effective treatment.
- The study used 200 radiographic images to develop AI algorithms, employing machine learning techniques to predict root caries with high accuracy, especially using Naive Bayes and Logistic Regression.
- Integrating AI in dentistry can enhance early detection and personalized treatment of root caries, but it requires collaboration between dental professionals and AI specialists to be effective and ethical.
Article Synopsis
- * A study compared blood samples from 10 healthy individuals and 10 anemic patients with oral diseases, revealing that anemic patients showed lower hemoglobin and red blood cell counts alongside significant changes in other hematological parameters associated with iron deficiency anemia (IDA).
- * Findings suggest that patients with oral diseases experience more pronounced symptoms of IDA, indicating a significant prevalence of iron deficiency compared to healthy individuals, underscoring the importance of monitoring hematological health in these patients.