標(biāo)題: Titlebook: Artificial Intelligence in Dentistry; Kaan Orhan,Rohan Jagtap Book 2023 The Editor(s) (if applicable) and The Author(s), under exclusive l [打印本頁] 作者: 卑賤 時(shí)間: 2025-3-21 18:13
書目名稱Artificial Intelligence in Dentistry影響因子(影響力)
書目名稱Artificial Intelligence in Dentistry影響因子(影響力)學(xué)科排名
書目名稱Artificial Intelligence in Dentistry網(wǎng)絡(luò)公開度
書目名稱Artificial Intelligence in Dentistry網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Artificial Intelligence in Dentistry被引頻次
書目名稱Artificial Intelligence in Dentistry被引頻次學(xué)科排名
書目名稱Artificial Intelligence in Dentistry年度引用
書目名稱Artificial Intelligence in Dentistry年度引用學(xué)科排名
書目名稱Artificial Intelligence in Dentistry讀者反饋
書目名稱Artificial Intelligence in Dentistry讀者反饋學(xué)科排名
作者: 秘密會(huì)議 時(shí)間: 2025-3-21 22:31
978-3-031-43829-5The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl作者: PIZZA 時(shí)間: 2025-3-22 03:35 作者: 憤憤不平 時(shí)間: 2025-3-22 05:20
Bernd Stickelmann,Ingeborg B?hmegence (AI). AI systems have emerged as valuable tools in various aspects of dentistry, including diagnosis, treatment planning, prognosis prediction, and education. The objective of this book chapter is to explore the role of AI in oral surgery and periodontics, based on the existing literature.作者: Lymphocyte 時(shí)間: 2025-3-22 11:49 作者: 小教堂 時(shí)間: 2025-3-22 13:45
Gerhard Kluchert,Rüdiger Loeffelmeierry. A thorough overview of AI applications in dentistry is provided in this book chapter, with an emphasis on technical issues. We investigate many AI approaches, such as machine learning (ML), deep learning (DL), and artificial Neural Networks (ANN), and look at how they might be used for the analy作者: 創(chuàng)作 時(shí)間: 2025-3-22 20:30 作者: 用不完 時(shí)間: 2025-3-22 22:22
Perspektiven der Familienerziehungosis and treatment planning through the use of various AI-operated software and applications. This chapter highlights the role that artificial intelligence is expected to play in the field of digital dentistry.作者: Filibuster 時(shí)間: 2025-3-23 02:33
Bernd Stickelmann,Ingeborg B?hmedetect dental conditions such as periapical lesions and tooth decay, leading to timely interventions and improved patient outcomes. The chapter also discusses the use of AI in detecting the tooth finishing line, an essential step in restorative procedures such as crown placement. Furthermore, AI mod作者: 精致 時(shí)間: 2025-3-23 08:21 作者: PRISE 時(shí)間: 2025-3-23 11:31 作者: anthesis 時(shí)間: 2025-3-23 14:23 作者: 箴言 時(shí)間: 2025-3-23 19:45 作者: aggrieve 時(shí)間: 2025-3-24 00:07
https://doi.org/10.1007/978-3-658-12504-2der characterized by repetitive upper airway obstruction during sleep, poses significant challenges for diagnosis, treatment, and patient care. However, with recent advancements in AI technologies, there has been a transformative shift in the approach to OSA management. This chapter provides an over作者: PALMY 時(shí)間: 2025-3-24 04:35
Ursula Liebhart,Caroline Ruinerrd of adults have various symptoms related to TMJ diseases (TMDs), including jaw pain, joint noise, limited mouth opening, and tinnitus. Diagnosing and managing TMDs are complex tasks that should be performed comprehensively, using different clinical, imaging, and biological findings for an accurate作者: Communicate 時(shí)間: 2025-3-24 06:31
https://doi.org/10.1007/978-3-658-12504-2 layer-by-layer manner. It is being applied in the medical field at an increasing rate, with the capacity to produce custom-made implants, prosthesis, surgical guides, anatomical models, etc. Medical 3D printing has a significant growth trend in special application areas for dental restorations, ort作者: CHOP 時(shí)間: 2025-3-24 14:07 作者: subordinate 時(shí)間: 2025-3-24 15:28 作者: CUR 時(shí)間: 2025-3-24 19:18
https://doi.org/10.1007/978-3-658-01568-8t challenges to healthcare systems all around the world. With the rapid spread of the virus, healthcare systems had to adapt and find new ways to manage the spread of the virus, diagnose and treat infected individuals, as well as develop effective treatments and vaccines. To address these challenges作者: 內(nèi)閣 時(shí)間: 2025-3-25 01:15 作者: 微生物 時(shí)間: 2025-3-25 05:01
https://doi.org/10.1007/978-3-658-01568-8atment planning. It can be broadly defined as the application of transformations to digital images, typically with the aim of enhancing the image or extracting relevant information from it. Common examples of medical image processing techniques are (1) image ., i.e., the partitioning of images into 作者: CERE 時(shí)間: 2025-3-25 10:06 作者: 模仿 時(shí)間: 2025-3-25 14:44 作者: Allowance 時(shí)間: 2025-3-25 18:04
Kaan Orhan,Rohan JagtapProvides detailed and complete analysis of AI in dentistry.Bridges the gap of knowledge and application.Described evidence-based literature and techniques作者: 話 時(shí)間: 2025-3-25 22:13 作者: instructive 時(shí)間: 2025-3-26 01:35
Applications of Artificial Intelligence in Dentistry,osis and treatment planning through the use of various AI-operated software and applications. This chapter highlights the role that artificial intelligence is expected to play in the field of digital dentistry.作者: AVID 時(shí)間: 2025-3-26 04:52
Outlook for AI in Oral Surgery and Periodontics,gence (AI). AI systems have emerged as valuable tools in various aspects of dentistry, including diagnosis, treatment planning, prognosis prediction, and education. The objective of this book chapter is to explore the role of AI in oral surgery and periodontics, based on the existing literature.作者: 粗魯性質(zhì) 時(shí)間: 2025-3-26 09:53 作者: confide 時(shí)間: 2025-3-26 13:30 作者: NIL 時(shí)間: 2025-3-26 20:05
Artificial Intelligence from Medicine to Dentistry,archers tried to discover the human mind, others focused on creating machines that imitate humans. Indeed, they were united in a common goal: the transfer of a human mind to the machine..The use of various systems has become widespread with the developments in computer systems and data production, e作者: Devastate 時(shí)間: 2025-3-26 22:43
Applications of Artificial Intelligence in Dentistry,osis and treatment planning through the use of various AI-operated software and applications. This chapter highlights the role that artificial intelligence is expected to play in the field of digital dentistry.作者: 慌張 時(shí)間: 2025-3-27 02:05 作者: Aphorism 時(shí)間: 2025-3-27 09:06 作者: 博識(shí) 時(shí)間: 2025-3-27 13:29 作者: 不來 時(shí)間: 2025-3-27 15:45 作者: 我就不公正 時(shí)間: 2025-3-27 21:26 作者: WITH 時(shí)間: 2025-3-27 22:09
Impact of AI in Obstructive Sleep Apnea,der characterized by repetitive upper airway obstruction during sleep, poses significant challenges for diagnosis, treatment, and patient care. However, with recent advancements in AI technologies, there has been a transformative shift in the approach to OSA management. This chapter provides an over作者: 隼鷹 時(shí)間: 2025-3-28 03:03 作者: 流浪 時(shí)間: 2025-3-28 06:19 作者: MAOIS 時(shí)間: 2025-3-28 10:48
Artificial Intelligence in Dental Education,more evidence-based and data-driven field in terms of diagnosis and treatment planning. This shift leads to the increased utilization of digital technologies in dental education. AI-based diagnostic tools for interpreting radiographs, including 2D and 3D images, will be employed in dental training. 作者: Muscularis 時(shí)間: 2025-3-28 14:44 作者: 大門在匯總 時(shí)間: 2025-3-28 18:47
Applications of Machine Learning and Artificial Intelligence in the COVID-19 Pandemic,t challenges to healthcare systems all around the world. With the rapid spread of the virus, healthcare systems had to adapt and find new ways to manage the spread of the virus, diagnose and treat infected individuals, as well as develop effective treatments and vaccines. To address these challenges作者: abstemious 時(shí)間: 2025-3-29 01:22
Medico-Legal Problems of Artificial Intelligence,scientious way will require knowledge of the terminology and types of AI, as well as forward-thinking regarding the ethical and legal implications within the profession. At the outset, all health and biomedical research, whether AI-based or conventional methods, should adhere to the fundamental ethi作者: aviator 時(shí)間: 2025-3-29 05:53
,Deep Learning in Image Processing: Part 1—Types of Neural Networks, Image Segmentation,atment planning. It can be broadly defined as the application of transformations to digital images, typically with the aim of enhancing the image or extracting relevant information from it. Common examples of medical image processing techniques are (1) image ., i.e., the partitioning of images into 作者: LAIR 時(shí)間: 2025-3-29 09:08 作者: Expertise 時(shí)間: 2025-3-29 12:32
Future Perspectives of Artificial Intelligence in Dentistry,mes. AI’s future applications include the analysis of dental radiographs to detect abnormalities such as cavities, bone loss, and impacted teeth. Additionally, AI can assist dentists in developing personalized treatment plans tailored to each patient’s unique needs. This chapter focuses on the futur作者: affluent 時(shí)間: 2025-3-29 19:10 作者: 有節(jié)制 時(shí)間: 2025-3-29 21:36 作者: headlong 時(shí)間: 2025-3-30 02:43
,Beruf und sozio-?konomischer Status,viously simulated. Orthodontists should see these digital systems as a tool and should not hesitate to intervene where necessary..This chapter aims to categorize the common study topics focused on artificial intelligence applications in orthodontics and to provide information about the general conce作者: incite 時(shí)間: 2025-3-30 05:07
https://doi.org/10.1007/978-3-658-12504-2nalized treatment protocols, it suffers from the unavoidable optimization and trial and error steps in production, production inefficiency, long processes, and excessive human effort accompanied by human errors. A possible solution to these disadvantages can be achieved with the use of AI and roboti作者: 樹上結(jié)蜜糖 時(shí)間: 2025-3-30 10:15 作者: 容易生皺紋 時(shí)間: 2025-3-30 12:35
https://doi.org/10.1007/978-3-658-01568-8 health research. Nevertheless, AI for healthcare, to a large extent, depends on data obtained from human participants, which invokes additional concerns related to potential biases, data handling, interpretation, autonomy, risk minimization, professional competence, data sharing, and confidentialit作者: 換話題 時(shí)間: 2025-3-30 18:14
https://doi.org/10.1007/978-3-658-01568-8d learning, can offer several benefits over alternative (semi-)automated or manual approaches, owing to their accuracy, robustness, and speed. This chapter will provide an overview of neural networks used in image-to-image processing and will describe principles and applications of DL and unsupervis作者: incisive 時(shí)間: 2025-3-30 22:36
Nora Kottmann,Hans Malmede,Katrin Ullmannoratory, in the sense that higher-level diagnostic efficacy remains to be assessed. This field is expected to continue evolving in the following years; whether the optimal approach is to have DL methods operate fully independently or in combination with existing image processing techniques remains t作者: 挫敗 時(shí)間: 2025-3-31 01:57
Book 2023insight into studies applying machine learning based on Machine Learning (ML), DeepLearning (DL), and Artificial Neural Networks (ANN). Explore the technical aspects and medical applications of AI in dentistry. Additionally, discover cutting-edge topics like 3D and bioprinting applications of AI and作者: 有特色 時(shí)間: 2025-3-31 08:00 作者: neolith 時(shí)間: 2025-3-31 10:56
Artificial Neural Networks for the Design Optimization of Implants,es covered include design optimization of spinal fusion cages to minimize stress on the adjacent bone, design optimization of femoral implants to minimize micromotion, and design optimization of tibial locking screws and spinal pedicle screws to minimize stress in the screws. Simple ANNs having one 作者: OPINE 時(shí)間: 2025-3-31 16:40
AI in Orthodontics,viously simulated. Orthodontists should see these digital systems as a tool and should not hesitate to intervene where necessary..This chapter aims to categorize the common study topics focused on artificial intelligence applications in orthodontics and to provide information about the general conce作者: Chameleon 時(shí)間: 2025-3-31 17:50 作者: inclusive 時(shí)間: 2025-3-31 23:16 作者: Immobilize 時(shí)間: 2025-4-1 02:32
Medico-Legal Problems of Artificial Intelligence, health research. Nevertheless, AI for healthcare, to a large extent, depends on data obtained from human participants, which invokes additional concerns related to potential biases, data handling, interpretation, autonomy, risk minimization, professional competence, data sharing, and confidentialit作者: oxidant 時(shí)間: 2025-4-1 08:28 作者: 松緊帶 時(shí)間: 2025-4-1 13:31 作者: 初次登臺(tái) 時(shí)間: 2025-4-1 16:12
Gain valuable insight into studies applying machine learning based on Machine Learning (ML), DeepLearning (DL), and Artificial Neural Networks (ANN). Explore the technical aspects and medical applications of AI in dentistry. Additionally, discover cutting-edge topics like 3D and bioprinting applications of AI and978-3-031-43829-5978-3-031-43827-1作者: Benign 時(shí)間: 2025-4-1 20:08
Sanja Kora?,Birgit Moser,Iris Salitererenty-first-century skills. AI is one of these technologies that is reshaping the field and starting to shift paradigms in dentistry. The aim of this chapter is to explain the current condition and requirements, transformation, and future direction of dental education using AI-driven technological tools.作者: 同來核對(duì) 時(shí)間: 2025-4-2 00:45
Artificial Intelligence in Dental Education,enty-first-century skills. AI is one of these technologies that is reshaping the field and starting to shift paradigms in dentistry. The aim of this chapter is to explain the current condition and requirements, transformation, and future direction of dental education using AI-driven technological tools.
