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http://dx.doi.org/10.1128/jcm.00824-23 | DOI Listing |
Dent J (Basel)
July 2025
Department of Orthodontics, College of Dentistry, University of Baghdad, Baghdad 10001, Iraq.
: This study evaluates the diagnostic and referral skills of final-year dental students at Al-Iraqia University using a questionnaire based on malocclusion cases ranging from mild to severe. : The questionnaire, featuring photos and radiographs of five selected treated cases from two textbooks, was answered by 165 students who were asked to assess each case and determine whether orthodontic or surgical treatment was necessary, as well as to identify factors contributing to an unesthetic profile, such as irregular teeth. Frequency distribution and the Chi-square test were used for statistical analysis.
View Article and Find Full Text PDFDermatology
July 2025
Department of Dermatology, Zealand University Hospital, Roskilde, Denmark.
Introduction: Hidradenitis suppurativa (HS) is a painful, chronic, recurring, debilitating, inflammatory skin disease affecting the areas rich in apocrine glands, with typical lesions (abscesses, nodules, discharging sinuses, and scars) and distribution (intertriginous areas). The prevalence of HS varies across geographical locality with lower rates reported in Asia.
Methods: A cross-sectional, descriptive study, involving 500 consecutive healthy adults in Hospital Kuala Lumpur (HKL), was done from December 2022 to April 2023, to estimate the prevalence of HS in HKL, via a validated questionnaire.
RMD Open
July 2025
Centre for Rheumatology and Spine Diseases, Rigshospitalet, Copenhagen Center for Arthritis Research, Glostrup, Denmark
Background: In routine care, Danish patients with psoriatic arthritis are monitored in the DANBIO registry. In March 2022, patient-reported outcome measures (PROMs) on selected non-musculoskeletal manifestations (NMM) were implemented.
Aim: To validate PROMs for current dactylitis, skin and nail psoriasis, and recent uveitis in patients with psoriatic arthritis.
BDJ Open
June 2025
Guy's and St Thomas' NHS Foundation Trust, London, UK.
Introduction: Implementing artificial intelligence (AI) to use patient-provided intra-oral photos to detect possible pathologies represents a significant advancement in oral healthcare. AI algorithms can potentially use photographs to remotely detect issues, including caries, demineralisation, and mucosal abnormalities such as gingivitis.
Aim: This study aims to assess the effectiveness of a newly developed AI model in detecting common oral pathologies from intra-oral images.
J Craniofac Surg
June 2025
New Media and Communication Department, Faculty of Communication Sciences, Anadolu University, Eskişehir, Turkiye.
Objectives: The study aimed to evaluate the influence of preoperative and postoperative photos of rhinoplasty surgeries published on social media platforms on potential rhinoplasty candidates.
Methods: This study analyzed the responses to 51 questions directed at individuals over 18 who had considered rhinoplasty. The first 6 questions of the questionnaire focused on demographic information, while the remaining 45 questions included 3 inquiries about each photograph.