دانلود کتاب پیشرفت‌ها در هوش مصنوعی برای رادیولوژی دهان، فک و صورت

This Special Issue Reprint of Diagnostics, titled ”Advancements in Artificial Intelligence for Dentomaxillofacial Radiology”, brings together a curated selection of original research articles and reviews that highlight current trends, novel methodologies, and emerging technologies in the field of oral and maxillofacial imaging. The contributions focus particularly on the integration of artificial intelligence (AI), radiomics, and advanced imaging techniques, which are increasingly shaping the future of diagnostics in dentistry and maxillofacial care. This Special Issue aimed to provide a platform for interdisciplinary dialogue between clinicians, radiologists, computer scientists, and researchers involved in the development and clinical application of AI-driven tools. As oral health care enters the era of precision diagnostics, it becomes critical to explore how imaging modalities such as cone-beam computed tomography (CBCT), magnetic resonance imaging (MRI), and digital radiography can be enhanced through machine learning and texture analysis to improve diagnostic accuracy, treatment planning, and patient outcomes. This reprint is addressed to a diverse audience, including dental practitioners, oral and maxillofacial radiologists, researchers in dental imaging, as well as data scientists interested in biomedical image analysis. By compiling these innovative contributions, we hope to support ongoing research and stimulate new approaches to diagnostic challenges in oral health. We extend our sincere thanks to all the authors who contributed their work, to the reviewers for their critical insights, and to the editorial team of Diagnostics for their continuous support throughout the peer-review and publication process. Their dedication ensured the scientific rigour and high quality of the articles featured in this issue.