Investigating the accuracy of mandibulectomy and reconstructive surgery using 3D customized implants and surgical guides in a rabbit model

Abstract

Background This study aimed to analyze the accuracy of the output of three-dimensional (3D) customized surgical guides and titanium implants in a rabbit model, and of mandibulectomy, reconstructive surgery, and surgical outcome; additionally, the correlation between surgical accuracy and surgical outcomes, including the differences in surgical outcome according to surgical accuracy, was analyzed. Results The output of implants was accurately implemented within the error range (− 0.03–0.03 mm), and the surgical accuracy varied depending on the measured area (range − 0.4–1.1 mm). Regarding surgical outcomes, angle between the mandibular lower borders showed the most sensitive results and distance between the lingual cusps of the first molars represented the most accurate outcomes. A significant correlation was noted between surgical accuracy in the anteroposterior length of the upper borders pre- and postoperatively and the angle between the mandibular lower borders (regression coefficient = 0.491, p = 0.028). In the group wherein surgery was performed more accurately, the angle between the mandibular lower borders was reproduced more accurately (p = 0.021). A selective laser melting machine accurately printed the implants as designed. Considering the positive correlation among surgical accuracy in the mandibular upper borders, angle between the mandibular lower borders, and more accurately reproduced angle between the mandibular lower borders, the angle between the mandibular lower borders is considered a good indicator for evaluating the outcomes of reconstructive surgery. Conclusion To reduce errors in surgical outcomes, it is necessary to devise a positioner for the surgical guide and design a 3D surgical guide to constantly maintain the direction of bone resection. A fixed area considering the concept of three-point fixation should be selected for stable positioning of the implant; in some cases, bilateral cortical bone fixation should be considered. The angle between the mandibular lower borders is a sensitive indicator for evaluating the outcomes of reconstructive surgery.

ChatGPT Utility in Healthcare Education, Research, and Practice: Systematic Review on the Promising Perspectives and Valid Concerns

“…Fourth, as it currently stands, the knowledge of ChatGPT is limited to the period prior to 2021 based on the datasets used in ChatGPT training [ 6 ]. Thus, ChatGPT cannot be used currently as a reliable updated source of literature review [ 83 ]. Nevertheless, ChatGPT can be used as a motivation to organize the literature in a decent format, if supplemented by reliable and up-to-date references [ 28 , 74 ].…”

Plugin Chatgpt: Mitra Dalam Penelitian

“…c. 3.saat ini, pengetahuan ChatGPT terbatas pada periode sebelum tahun 2021 berdasarkan kumpulan data yang digunakan dalam pelatihan ChatGPT [27]. Dengan demikian, ChatGPT saat ini tidak dapat digunakan sebagai sumber tinjauan literatur terbaru yang andal [28]. Meski demikian, ChatGPT dapat dijadikan motivasi untuk menata literatur dalam format yang layak, jika dilengkapi dengan referensi yang terpercaya dan terkini [ 20 , 29 ].…”

Exploring the Impact of Artificial Intelligence language model ChatGPT on the User Experience

“…By creating and processing information through experimentation, designers can make accurate design decisions as projects unfold. This is because design thinking enables innovators to gain a deeper understanding of user needs and preferences, leading to the development of solutions that better meet those needs (Kim, 2023). Design Thinking is an innovation process that emphasizes the use of prototypes as incomplete and approximate representations of the innovation output during development (Sakirin and Ben Said, 2023).…”

“…The use of AI in innovation and design processes has the potential to transform the way we approach problem-solving, product development, and user experience. While it brings significant benefits, such as improved scalability and adaptability, it also presents challenges that need to be addressed (Kim, 2023). As such, organizations must carefully consider the implications of AI and develop ethical frameworks to ensure its responsible and effective use in design and innovation.…”