Journal of the World Federation of Orthodontists, Год журнала: 2024, Номер 13(5), С. 221 - 228
Опубликована: Июнь 1, 2024
Язык: Английский
Schizophrenia, Год журнала: 2025, Номер 11(1)
Опубликована: Фев. 28, 2025
This study evaluated the potential of artificial intelligence (AI) in diagnosis, treatment, and prognostic assessment schizophrenia (SZ) explored collaborative directions for AI applications future medical innovations. SZ is a severe mental disorder that causes significant suffering imposes challenges on patients. With rapid advancement machine learning deep technologies, has demonstrated notable advantages early diagnosis high-risk populations. By integrating multidimensional biomarkers linguistic behavior data patients, can provide further objective precise diagnostic criteria. Moreover, it aids formulating personalized treatment plans, enhancing therapeutic outcomes, offering new strategies patients with treatment-resistant SZ. Furthermore, excels developing individualized which enables identification disease progression, accurate prediction trajectory, timely adjustment strategies, thereby improving prognosis facilitating recovery. Despite immense management, its role as an auxiliary tool must be emphasized, clinical judgment compassionate care from healthcare professionals remaining crucial. Future research should focus optimizing human–machine interactions to achieve efficient application management. The in-depth integration technology into practice will advance field SZ, ultimately quality life outcomes
Язык: Английский
Процитировано
3
International Journal of Molecular Sciences, Год журнала: 2024, Номер 25(13), С. 7217 - 7217
Опубликована: Июнь 29, 2024
The objective of this review is to identify the microbiological alterations caused by various therapy modalities critically analyzing current findings. We limited our search English-language papers published between 1 January 2004 and 7 May 2024 in PubMed, Scopus, Web Science that were relevant topic. In approach, Boolean keywords "microbio*" AND "periodontitis" used. A total 5152 obtained from databases (2205), PubMed (1793), Scopus (1154). This resulted 3266 articles after eliminating duplicates (1886), 1411 entries eliminated their titles abstracts examined. qualitative analysis 22 final included study. Research on periodontal disease shows periodontitis alters oral microbiome increases antibiotic resistance. Treatments like scaling root planing (SRP), especially when combined with minocycline, improve clinical outcomes reducing harmful bacteria. Comprehensive mechanical debridement antibiotics, probiotics, EMD bone grafts, other adjunctive therapies enhances health. Personalized treatment strategies advanced microbial analyses are crucial for effective management resistance control.
Язык: Английский
Процитировано
18
Advances in Human Biology, Год журнала: 2025, Номер unknown
Опубликована: Янв. 8, 2025
Abstract Orthodontic treatment planning has traditionally relied on manual assessments, which can be time-consuming and prone to errors. The integration of artificial intelligence (AI) the potential revolutionise this process, enhancing accuracy efficiency. A systematic review meta-analysis were conducted evaluate use AI in orthodontic planning. Seven databases searched, studies selected based predetermined criteria. Bias evaluation was performed using QUADAS-AI tool. revealed a significant overall effect favour AI-based methods determining cephalometric landmarks (pooled mean difference [MD]: 2.85, 95% confidence interval [CI]: 1.48, 4.22) teeth segmentation MD: 2.89, CI: 1.53, 4.26). Substantial heterogeneity observed both analyses, indicating differences between studies. However, results suggest that demonstrate superior dental imaging assessments. This provide evidence for efficiency highlight benefits improving speed procedures, as well its augment human capabilities Further research is needed develop refine systems specific applications.
Язык: Английский
Процитировано
1
The Angle Orthodontist, Год журнала: 2024, Номер 94(6), С. 602 - 607
Опубликована: Авг. 14, 2024
ABSTRACT Objectives To evaluate the reliability of information produced by artificial intelligence-based program ChatGPT in terms accuracy and relevance, as assessed orthodontists, dental students, individuals seeking orthodontic treatment. Materials Methods Frequently asked curious questions four basic areas related to orthodontics were prepared (Version 4.0), answers evaluated three different groups (senior treatment, orthodontists). Questions these about: clear aligners (CA), lingual (LO), esthetic braces (EB), temporomandibular disorders (TMD). The Global Quality Scale (GQS) Criteria for Consumer Health Information (DISCERN) scale. Results total mean DISCERN score on CA students was 51.7 ± 9.38, patients 57.2 10.73 and, orthodontists 47.4 4.78 (P = .001). Comparison GQS scores LO among groups: (3.53 0.78), (4.40 0.72), (3.63 0.72) < Intergroup comparison evaluations about TMD examined scale, with highest value given group (57.83 11.47) lowest orthodontist (45.90 11.84). When quality evaluation EB examined, it >3 all (students: 3.50 0.78; patients: 4.17 0.87; orthodontists: 0.82). Conclusions has significant potential usability patient education field if is developed necessary updates are made.
Язык: Английский
Процитировано
9
International Journal of Environmental Research and Public Health, Год журнала: 2024, Номер 21(6), С. 662 - 662
Опубликована: Май 22, 2024
Rheumatoid arthritis (RA) can lead to severe joint impairment and chronic disability. Primary care (PC), provided by general practitioners (GPs), is the first level of contact for population with healthcare system. The aim this scoping review was analyze approach RA in PC setting. PubMed, Scopus, Web Science were searched using MESH terms “rheumatoid arthritis” “primary care” from 2013 2023. search strategy followed PRISMA-ScR guidelines. 61 articles selected analyzed qualitatively a table discussed two sections, namely criticisms strategies management PC. main critical issues are following: difficulty delay diagnosis, accessing rheumatological care, DMARDs GPs; ineffective communication between GPs specialists; poor patient education; lack cardiovascular prevention; increase costs. To overcome these criticisms, several have been identified, early diagnosis RA, quick access rheumatology effective specialists, active involvement, screening risk factors comorbidities, clinical audit, interdisciplinary management, digital health, cost analysis. appears be ideal setting reduce morbidity mortality disease, including if widespread change GPs’ disease patients mandatory.
Язык: Английский
Процитировано
7
Applied Sciences, Год журнала: 2025, Номер 15(2), С. 893 - 893
Опубликована: Янв. 17, 2025
Background: In recent years, there has been remarkable growth in AI-based applications healthcare, with a significant breakthrough marked by the launch of large language models (LLMs) such as ChatGPT and Google Bard. Patients health professional students commonly utilize these due to their accessibility. The increasing use LLMs healthcare necessitates an evaluation ability generate accurate reliable responses. Objective: This study assessed performance answering orthodontic-related queries through systematic review meta-analysis. Methods: A comprehensive search PubMed, Web Science, Embase, Scopus, Scholar was conducted up 31 October 2024. quality included studies evaluated using Prediction model Risk Bias Assessment Tool (PROBAST), R Studio software (Version 4.4.0) employed for meta-analysis heterogeneity assessment. Results: Out 278 retrieved articles, 10 were included. most used LLM (10/10, 100% papers), followed Google’s Bard/Gemini (3/10, 30% Microsoft’s Bing/Copilot AI (2/10, 20% papers). Accuracy primarily Likert scales, while DISCERN tool frequently applied reliability indicated that LLMs, ChatGPT-4 other models, do not significantly differ generating responses related specialty orthodontics. forest plot revealed Standard Mean Deviation 0.01 [CI: 0.42–0.44]. No observed between experimental group (ChatGPT-3.5, Gemini, Copilot) control (ChatGPT-4). However, exhibited high PROBAST risk bias lack standardized tools. Conclusions: extensively variety tasks demonstrated advanced encouraging outcomes compared thus can be regarded valuable enhancing educational learning experiences. While responses, is compromised absence peer-reviewed references, necessitating expert oversight applications.
Язык: Английский
Процитировано
1
BMC Oral Health, Год журнала: 2025, Номер 25(1)
Опубликована: Фев. 24, 2025
Язык: Английский
Процитировано
1
Scientific Reports, Год журнала: 2025, Номер 15(1)
Опубликована: Апрель 13, 2025
The precise and efficient diagnosis of an individual's skeletal class is necessary in orthodontics to ensure correct stable treatment planning. However, it difficult efficiently determine the true due several correlations between various anatomic structures. primary outcome this prospective cross-sectional study was developing a machine learning model for classifying patients as I III. Furthermore, investigation intended compare cephalometric variables III well age sex-specific subgroups analyse parameters perform Principal Component Analysis (PCA) identify most important contributing variances. This based on pre-treatment lateral cephalograms 509 German orthodontic diagnosed (n = 341) or 168) according individualised ANB Panagiotidis Witt, following descriptive analyses parameters, correlation followed by key variables. Machine models, including Random Forest (RF), Classification Regression Trees (CART), k-nearest Neighbors (KNN), Linear Discriminant (LDA), Support Vector Machines (SVM), Generalized Model (GLM), were evaluated accuracy. Within same class, influenced parameters: I, adolescents presented more horizontal pattern (PFH/AFH, Gonial angle, NL-ML) prominent mandible (SNB, SN-Pg) than children. In III, degree sagittal discrepancy jaw bases notable adults (ANB: III_Age > 21-III _14 < Age 20 - 1.78°). Comparing latter had prognathic mandibles (SNB) compensated incisors' inclination (proclination upper (+ 1/NA: 9.01°), retroinclination lower incisors (- 1/ML: 8.99°). Among others, found (degree prognathism, SNB) vertical (inclination, ML-NSL) orientation (skeletal I: p 0.001, ρ 0.742; III: 0.665). PCA revealed that first four principal components explain 93% variance I/III these influence loading score component-PFH/AFH ratio (0.35), SNB angle SN-Pg (0.37), ML-NSL 0.35). Evaluating general model, all age, sex, resulted perfect (1.00) accuracy kappa scores compared gold standard Calculated_ANB with model's RF CART. 2 amount input reduced (Wits, only), but (0.88), (0.73) still good KNN model. last section study, we applied different classification models. We examined ability parameters-SNA, SNB, angles predict results demonstrated GLM gained 0.99 (Accuracy 0.99, Kappa 0.97). can be simplified applying SNA, only. stresses importance their identification. considering classes, larger population needed validate generalize approach.
Язык: Английский
Процитировано
1
Microorganisms, Год журнала: 2024, Номер 12(8), С. 1506 - 1506
Опубликована: Июль 23, 2024
The investigation’s goal was to obtain further knowledge about the connection between Herpes Zoster infection and dentistry therapy for osteonecrosis of jaws, combining review with a case report relevant purpose. It is important study this association because it possible additional factor be considered in causes jaws. We limited our search English-language papers published 1 January 2004 7 June 2024 PubMed, Scopus, Web Science that were topic. In approach, Boolean keywords “Herpes AND osteonecros*” used. Results: This analyzed 148 from Science, resulting 95 articles after removing duplicates. Of these, 49 removed they off topic, 46 confirmed. includes qualitative analysis final 12 articles, 34 literature highlights severe oral complications reactivation, emphasizing need early diagnosis, comprehensive management, multidisciplinary care. Treatment strategies include antiviral therapy, pain surgical debridement, antibiotics. Immunocompromised individuals require vigilant monitoring balanced immunosuppressive therapy. Further research needed enhance therapeutic approaches.
Язык: Английский
Процитировано
4
Journal of Dentistry, Год журнала: 2024, Номер 152, С. 105442 - 105442
Опубликована: Ноя. 4, 2024
To provide an overview of artificial intelligence (AI) applications in orthodontic diagnosis and treatment planning, to evaluate whether AI improves accuracy, reliability, time efficiency compared expert-based manual approaches, while highlighting its current limitations.
Язык: Английский
Процитировано
3