Biomedical Signal Processing and Control, Journal Year: 2023, Volume and Issue: 88, P. 105651 - 105651
Published: Nov. 2, 2023
Language: Английский
Medical & Biological Engineering & Computing, Journal Year: 2025, Volume and Issue: unknown
Published: Feb. 26, 2025
Language: Английский
Citations
0
BDJ, Journal Year: 2025, Volume and Issue: 238(4), P. 210 - 210
Published: Feb. 28, 2025
Language: Английский
Citations
0
Applied Intelligence, Journal Year: 2025, Volume and Issue: 55(7)
Published: March 25, 2025
Language: Английский
Citations
0
The Journal of Supercomputing, Journal Year: 2025, Volume and Issue: 81(5)
Published: March 25, 2025
Language: Английский
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0
BMC Oral Health, Journal Year: 2025, Volume and Issue: 25(1)
Published: April 1, 2025
Language: Английский
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0
BMC Oral Health, Journal Year: 2025, Volume and Issue: 25(1)
Published: April 18, 2025
Artificial intelligence (AI) holds immense potential in revolutionizing restorative dentistry, offering transformative solutions for diagnostic, prognostic, and treatment planning tasks. Traditional dentistry faces challenges such as clinical variability, resource limitations, the need data-driven diagnostic accuracy. AI's ability to address these issues by providing consistent, precise, is gaining significant attention. This comprehensive literature review explores AI applications caries detection, endodontics, dental restorations, tooth surface loss, shade determination, regenerative dentistry. While this focuses on impact extends orthodontics, prosthodontics, implantology, biomaterials, showcasing its versatility across various specialties. Emerging trends AI-powered robotic systems, virtual assistants, multi-modal data integration are paving way groundbreaking innovations Methodologically, a systematic approach was employed, focusing English-language studies published between 2020-2025(January), resulting 63 peer-reviewed publications analysis. Studies pedodontics, determination highlighted advancements. Inclusion criteria focused publication timeframe. PRISMA guidelines were followed ensure transparency study selection, emphasizing accuracy metrics relevance. The selection process carefully documented, flowchart of stages, including identification, screening, eligibility, inclusion, shown Fig. 1 provide further clarity reproducibility process. identified advancements AI-driven multiple domains Notable demonstrated achieve high accuracy, up 95% capacity improve efficiency, thus reducing patient chair time. Predictive analytics personalized treatments another area where has substantial promise. discussed trends, challenges, future research directions highlighting optimizing care. Key include privacy concerns, algorithmic bias, interpretability decision-making processes, standardized training programs education. Further should focus integrating with emerging technologies like 3D printing developing professionals. into offers precision-driven improved outcomes. By enabling faster diagnostics, approaches, preventive care strategies, can significantly enhance patient-centered efficiency. contributes advancing understanding implementation practice synthesizing key findings, identifying addressing challenges.
Language: Английский
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0
Published: Jan. 1, 2025
Language: Английский
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Advances in computational intelligence and robotics book series, Journal Year: 2025, Volume and Issue: unknown, P. 285 - 304
Published: March 7, 2025
This chapter explores the transformative role of Machine Learning (ML), Deep (DL), and Image Processing (IP) in modern dentistry, focusing on their impact diagnostics, treatment planning, patient outcomes. Advanced ML algorithms enable precise disease detection, while DL techniques enhance imaging accuracy, facilitating early diagnosis personalized care. processing supports 3D modeling for prosthetics orthodontics, streamlining dental workflows. The survey evaluates state-of-the-art methods, integration into clinical practice, associated challenges, including data privacy, model interpretability, real-time application. Insights emerging trends future directions emphasize these technologies' potential to revolutionize patient-centered
Language: Английский
Citations
0
Journal of Dental Sciences, Journal Year: 2024, Volume and Issue: 20(2), P. 971 - 979
Published: Nov. 25, 2024
Currently, the education and examination system for dental technicians in Taiwan is gradually maturing. This study primarily explored overview of Taiwan's technology student numbers from 2017 to 2023. employed literature secondary data analysis investigate development 2023 changes number students. had five schools offering associate, bachelor's, master's degrees technology. The enrollment quotas students determined by Ministry Education was reduced 400 387 with official decreased 2196 1720 a reduction rate 21.68 %. Comparing distribution officially enrolled gender, school location, academic program showed significant differences (P < 0.001). Overall, 46 technology-related programs produced total 3330 graduates (1354 male 1488 female graduates) over past seven years. technicians, who are responsible fabrication maintenance prostheses, play an indispensable role healthcare. However, decrease year year. Therefore, attracting more join great challenge Taiwan.
Language: Английский
Citations
3
Intelligent Systems with Applications, Journal Year: 2025, Volume and Issue: unknown, P. 200526 - 200526
Published: April 1, 2025
Language: Английский
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0