نقش فناوری های نوین تصویربرداری (CBCT، هوش مصنوعی، و CAD/CAM) در تصمیم گیری های زیبایی دندانپزشکی: مرور روایی
نوع مقاله : مقاله مروری
نویسنده
دندانپزشک، کمیته تحقیقات دانشجویی ، دانشکده دندانپزشکی ، دانشگاه علوم پزشکی اصفهان ، اصفهان ، ایران
چکیده
مقدمه:
زیبایی دندانی فراتر از جنبه ظاهری بوده و با کیفیت زندگی مرتبط با سلامت دهان و عزت‌نفس ارتباط مستقیم دارد. محدودیت روش‌های سنتی دوبعدی و ذهنی در ارزیابی زیبایی، ضرورت بهره‌گیری از فناوری‌های نوین را افزایش داده است.
روش کار:
این مطالعه به‌صورت مرور روایی، پایگاه‌های علمی PubMed، Scopus و Web of Science را تا سال ۲۰۲۵ با کلیدواژه‌های مرتبط با CBCT، هوش مصنوعی و CAD/CAM در تصمیم‌گیری‌های زیبایی بررسی کرده و بر یافته‌های مرورها و مطالعات بالینی اخیر تمرکز داشته است.
یافته‌ها:
شواهد نشان می‌دهد CBCT در سنجش سه‌بعدی ضخامت استخوان فاسیال، طراحی ایمپلنت پروتز-محور و کاهش خطاهای فضایی مؤثر است. الگوریتم‌های هوش مصنوعی با قطعه‌بندی خودکار، رجیستریشن چندمدالیته و شبیه‌سازی لبخند، زمان طراحی را کاهش و شخصی‌سازی طرح درمان را تقویت می‌کنند. فناوری CAD/CAM نیز با کوتاه کردن فرایند لابراتواری، افزایش دقت Fit و بهبود تطابق رنگ، کیفیت ترمیم‌های زیبایی را ارتقا داده است. بااین‌حال، هزینه‌های بالا، نیاز به مهارت تخصصی، و ملاحظات پرتویی و اخلاقی از چالش‌های اصلی کاربرد بالینی این فناوری‌ها محسوب می‌شوند.
نتیجه‌گیری:
ادغام CBCT، هوش مصنوعی و CAD/CAM در جریان‌کار دیجیتال می‌تواند دقت، کارایی و رضایت بیمار را در درمان‌های زیبایی بهبود دهد. تحقق کامل این مزایا مستلزم استانداردسازی پروتکل‌ها، آموزش مهارت‌های دیجیتال و رعایت اصول ایمنی پرتویی و اخلاقی است.
تازه های تحقیق
علی جمشیدی: Google Scholar, Pubmed
کلیدواژه‌ها
عنوان مقاله English
The Role of Advanced Imaging Technologies (CBCT, Artificial Intelligence, and CAD/CAM) in Aesthetic Dental Decision-Making: A Narrative Review
نویسنده English
Ali Jamshidi
Dentist , School of dentistry , Isfahan university of medical science , Isfahan , Iran
چکیده English
Introduction: Dental aesthetics extend beyond mere appearance and are closely linked to oral health–related quality of life and self-esteem. The limitations of conventional two-dimensional and subjective assessment methods highlight the growing necessity for adopting advanced digital technologies. The aim of this study was to review and elucidate the role of advanced imaging technologies, including CBCT, artificial intelligence, and CAD/CAM, in enhancing accuracy, efficiency, and decision-making in aesthetic dentistry.
Materials and Methods: This narrative review examined the PubMed, Scopus, and Web of Science databases up to 2025 using keywords related to CBCT, artificial intelligence, and CAD/CAM in the context of aesthetic dental decision-making. The analysis focused on findings from recent reviews and clinical studies exploring their diagnostic and therapeutic applications.
Results: Evidence indicates that CBCT provides accurate three-dimensional assessment of facial bone thickness, facilitates prosthesis-driven implant design, and minimizes spatial errors. Artificial intelligence algorithms enhance efficiency through automated segmentation, multimodal image registration, and smile simulation, thereby reducing design time and enabling personalized treatment planning. CAD/CAM technology, by shortening laboratory procedures, improving marginal fit precision, and optimizing color matching, has significantly improved the quality of aesthetic restorations. Nevertheless, high equipment costs, the need for specialized skills, and concerns regarding radiation exposure and ethical considerations remain major challenges to their widespread clinical use.
Conclusion: Integration of CBCT, artificial intelligence, and CAD/CAM within a unified digital workflow can enhance accuracy, efficiency, and patient satisfaction in aesthetic dental treatments. Full realization of these benefits requires standardized protocols, digital competency training, and adherence to radiation safety and ethical principles.
کلیدواژه‌ها English
Dental Aesthetics
CBCT
Artificial Intelligence
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