Digital technology has emerged as a transformative tool in dental implantation, profoundly enhancing accuracy and effectiveness across multiple facets, such as diagnosis, preoperative treatment planning, surgical procedures, and restoration delivery. The multiple integration of radiographic data and intraoral data, sometimes with facial scan data or electronic facebow through virtual planning software, enables comprehensive 3-dimensional visualization of the hard and soft tissue and the position of future restoration, resulting in heightened diagnostic precision. In virtual surgery design, the incorporation of both prosthetic arrangement and individual anatomical details enables the virtual execution of critical procedures (e.g., implant placement, extended applications, etc.) through analysis of cross-sectional images and the reconstruction of 3-dimensional surface models. After verification, the utilization of digital technology including templates, navigation, combined techniques, and implant robots achieved seamless transfer of the virtual treatment plan to the actual surgical sites, ultimately leading to enhanced surgical outcomes with highly improved accuracy. In restoration delivery, digital techniques for impression, shade matching, and prosthesis fabrication have advanced, enabling seamless digital data conversion and efficient communication among clinicians and technicians. Compared with clinical medicine, artificial intelligence (AI) technology in dental implantology primarily focuses on diagnosis and prediction. AI-supported preoperative planning and surgery remain in developmental phases, impeded by the complexity of clinical cases and ethical considerations, thereby constraining widespread adoption.
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http://dx.doi.org/10.1177/00220345241253794 | DOI Listing |
JACC Adv
December 2024
Division of Cardiology, The Johns Hopkins Hospital, Baltimore, Maryland, USA.
This state-of-the-art review examines disparities in the diagnosis, management, and outcomes of cardiac arrhythmias globally. These arrhythmias include atrial fibrillation, ventricular tachyarrhythmias underlying sudden cardiac death, and bradyarrhythmias associated with sinus node and atrioventricular node disease. Arrhythmias in low- and middle-income countries often result in higher mortality rates due to complex and poorly documented risk factors, lack of clinical expertise among health care personnel, lack of sufficient infrastructure, and challenges in access to care.
View Article and Find Full Text PDFDigit Health
October 2024
Department of Psychiatry, Faculty of Medicine, Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia.
Background: Mental health care during the postpartum period is notably underexplored within Asian demographics, with barriers such as stigma, privacy concerns, logistical challenges, and a shortage of mental health professionals that limits access to optimal mental healthcare. Previous studies found that mobile health (mHealth) technology has been offering a promising solution to these issues. However, the perspectives of mothers on existing mental health services and their mHealth needs are still not well understood and warrant further exploration.
View Article and Find Full Text PDFHealthc Technol Lett
January 2025
This study aimed to develop an advanced ensemble approach for automated classification of mental health disorders in social media posts. The research question was: can an ensemble of fine-tuned transformer models (XLNet, RoBERTa, and ELECTRA) with Bayesian hyperparameter optimization improve the accuracy of mental health disorder classification in social media text. Three transformer models (XLNet, RoBERTa, and ELECTRA) were fine-tuned on a dataset of social media posts labelled with 15 distinct mental health disorders.
View Article and Find Full Text PDFFront Child Adolesc Psychiatry
August 2024
Management School, Chongqing University of Technology, Chongqing, China.
Students' social media use has quickly gained attention given the effect of considerable time spent on and widespread usage of social media on their development and success. The study aimed to examine whether high school students' social media use predicts more school engagement and less burnout for those who were more successful in controlling their social media use in goal-conflict situations. A sample of 107 Chinese high school students ( = 19.
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