Background: Teledentistry is considered a good tool in the diagnostic process. In oral medicine, there is a low number of trained professionals and dentists have difficulty in diagnosing and treating oral lesions.
Objective: We aimed to perform a cross-sectional evaluation based on the mobile application for oral diagnosis using a mobile application in a Brazilian State.
Methods: This is a retrospective, cross-sectional, observational study of the data of the "Telehealth in Stomatology in Paraíba" carried out between May 2021 and November 2022.
Results: The app has a team of 16 consultants (Ph.D. professors, postgraduate students, residents, and dentists). In addition, there are 289 registered professionals, with a mean age of 33.7 years, predominantly female (70.2%), working in primary care (79.2%), and general practitioners (42.6%). Regarding the cases, the app has 194 cases, and reactive lesions are the most suggested hypotheses reported by dentists (24.5%) and consultants (22.3%). We had an overall concordance rate of 64.1%.
Conclusion: The application is easily accessible and has an assistance network that helps with early diagnosis. In addition, it has good coverage with users in more than 50% of the cities in the state. Thus, applications that provide specialized care to distant areas are important for better public health.
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http://dx.doi.org/10.3233/THC-230584 | DOI Listing |
JMIR Form Res
January 2025
Department of Psychiatry and Behavioral Sciences, University of California, San Francisco, San Francisco, CA, United States.
Background: Current research on digital applications to support the mental health and well-being of foster youth is limited to theoretical applications for transition-aged foster youth and support platforms developed without intentional input from foster youth themselves. Centering the lived expertise of foster youth in digital solutions is crucial to dismantling barriers to care, leading to an increase in service access and improving mental health outcomes. Co-design centers the intended end users during the design process, creating a direct relationship between potential users and developers.
View Article and Find Full Text PDFRadiol Med
January 2025
Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
Background: Accurate differentiation between benign and malignant pancreatic lesions is critical for effective patient management. This study aimed to develop and validate a novel deep learning network using baseline computed tomography (CT) images to predict the classification of pancreatic lesions.
Methods: This retrospective study included 864 patients (422 men, 442 women) with confirmed histopathological results across three medical centers, forming a training cohort, internal testing cohort, and external validation cohort.
J Thorac Dis
December 2024
Shanghai Lung Cancer Center, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Background: Robot-assisted thoracic surgery has been shown to have several advantages over conventional surgery. As mobile communication technology and surgical robotic devices in China continue to progress rapidly, the conditions for performing remote surgery have been optimized. Consequently, informatized and remote advanced medical cooperation is becoming a new direction for supporting the medical development of border regions and promoting the equitable distribution of medical resources in China.
View Article and Find Full Text PDFJ Res Pharm Pract
December 2024
Department of Pharmacy, Children's Hospital of Nanjing Medical University, Nanjing, China.
Objective: Due to high workloads and insufficient counseling time in ambulatory care pharmacy, outpatient pharmacists for pediatric patients in China proposed a mobile health application (mHealth app) that they considered could provide patient counseling more efficiently. To improve it accordingly, we need to design a more specific and multi-dimensional evaluation method to obtain pediatric caregivers' evaluations of a mHealth app.
Methods: A cross-sectional survey on five dimensions (transmission, accuracy, accessibility, completeness, and experience) of the mHealth app was conducted using a random questionnaire among outpatient caregivers at a children's hospital.
Drug Des Devel Ther
January 2025
The First Affiliated Hospital of Wenzhou Medical University, Zhejiang, People's Republic of China.
Background: Givinostat, a potent histone deacetylase (HDAC) inhibitor, is promising for the treatment of relapsed leukemia and myeloma.
Purpose: This study aimed to develop and verify a quick assay for the measurement of givinostat concentration using ultra-performance liquid chromatography tandem mass spectrometry (UPLC-MS/MS) with eliglustat as the internal standard (IS), establishing a basic pharmacokinetic profile for its pre-clinical application and metabolic stability in vitro.
Methods: Sample preparation was performed via protein precipitation using acetonitrile.
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