The epidemiology of dental caries in the pediatric population demonstrates that caries is no longer pandemic in the US population. The incidence is confined to a subset of the total population of our children. The disease is also increasingly isolated to specific teeth and tooth morphology types in both the pediatric and the mixed dentitions, with pits and fissures being the predominate diseased sites. This sequestration of the disease into specific populations, individuals and tooth sites mandates a risk assessment strategy. In the past, universal preventive strategies were appropriate because of the extensive penetration of caries in the population. Our health care system does not have adequate resources to treat the entire population when a substantial portion of the population is not at risk for this disease process. Validated risk assessment strategies may prove adjunctive for the practicing dentist. Certainly knowledge of the known risk factors will assist the practitioner in performing risk assessment within their patient populations. This paper presents a review of the known risk factors for dental caries in child and adolescent populations.
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Int J Comput Assist Radiol Surg
January 2025
Advanced Medical Devices Laboratory, Kyushu University, Nishi-ku, Fukuoka, 819-0382, Japan.
Purpose: This paper presents a deep learning approach to recognize and predict surgical activity in robot-assisted minimally invasive surgery (RAMIS). Our primary objective is to deploy the developed model for implementing a real-time surgical risk monitoring system within the realm of RAMIS.
Methods: We propose a modified Transformer model with the architecture comprising no positional encoding, 5 fully connected layers, 1 encoder, and 3 decoders.
Pain Med
January 2025
IRCCS IstitutoOrtopedico Galeazzi, Unit of Clinical Epidemiology, Milan, Italy.
Objective: To assess the effectiveness of cognitive functional therapy (CFT) in reducing disability and pain compared to other interventions in chronic spinal pain patients.
Methods: Five databases were queried to October 2023 for retrieving randomized controlled trials (RCTs), including patients with chronic spinal pain and administering CFT. Primary outcomes were disability and pain.
Integr Cancer Ther
January 2025
Guang 'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Background: The incidence and mortality of lung cancer is the highest among malignant tumors worldwide, and it seriously threatens human life and health. Surgery is the primary radical treatment for lung cancer. However, patients often experience discomfort, changes in social roles, economic pressures, and other postsurgical challenges.
View Article and Find Full Text PDFJ Sex Med
January 2025
Clinical Obstetric and Gynecological V Buzzi, ASST-FBF-Sacco, Via Castelvetro 24-20124-University of the Study of Milan, Milan, Italy.
Background: Vulvodynia is a multifactorial disease affecting 7%-16% of reproductive-aged women in general population; however, little is still known about the genetics underlying this complex disease.
Aim: To compare polygenic risk scores for hormones and receptors levels in a case-control study to investigate their role in vulvodynia and their correlation with clinical phenotypes.
Methods: Our case-control study included patients with vestibulodynia (VBD) and healthy women.
BMC Oral Health
January 2025
Sub-Institute of Public Safety Standardization, China National Institute of Standardization, No.4 Zhichun Road, Haidian District, Beijing, 100191, PR China.
Background: This study aimed to establish a model for predicting the difficulty of mandibular third molar extraction based on a Bayesian network to meet following requirements: (1) analyse the interaction of the primary risk factors; (2) output quantitative difficulty-evaluation results based on the patient's personal situation; and (3) identify key surgical points and propose surgical protocols to decrease complications.
Methods: Relevant articles were searched to identify risk factors. Clinical knowledge and experience were used to analyse the risk factors to establish the Bayesian network.
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