###### Abstract
Stereolithography (SLA) was the first commercially available 3D printing technology, which utilizes polymerization to construct layered structures using different polymers. The process involves three important steps: light/laser exposure, platform movement, and resin refilling. Compared to gypsum models, 3D SLA prints are more accurate [10]. Scanning electron microscopy has shown that the surface structure of plaster models exhibits grainy texture with sharp edges of orthorhombic crystals, while SLA surfaces are more homogeneous, smoother, and only show traces of the layering polymer [11]. The 3D bioprinting technology forms an emerging area of research enabling high printing resolution and stability [12; 13; 14; 15]. It allows the fabrication of accurate and cost effective 3D models for implant placement and maxillofacial prostheses. Associated software tools [16] can be used to align SLA dental models and point clouds. The comparison of the complete arch or selected regions is often used in assessing the clinical validity of model differences. In orthodontics, models and their analysis play a crucial role as they accurately represent malocclusion. Traditional plaster models, however, are susceptible to damage, require significant storage space, are challenging to transport, and offer low replication accuracy. Furthermore, taking impressions can cause discomfort for patients, and fear and resistance among children can affect the accuracy of the resulting models [17]. The advent of intra-oral scanning technology has revolutionized examination methods in dentistry. Compared to traditional plaster casts, intra-oral scanning enables more precise digital analysis of dental arch components during the treatment of dental disorders. The acquired data can be utilized to create three-dimensional (3D) models using 3D printers [9]. The digitalization process provides several advantages and enables the utilization of various signal and image processing tools. These tools include magnification, detection of regions of interest, capturing of missing or defective areas during scanning, and the ability to immediately rescan important areas within a single treatment session [7]. However, it is important to note that a suboptimal scanning technique can lead to greater distortion of the final digital model compared to elastomeric impression materials. Additionally, each scanning technique has its specific limitations. Data acquisition for mathematical analysis, validity of dental measurements [18; 19], and digital processing includes the use of dental panoramic X-ray images [20], spatial modeling by camera systems [21; 22], and intra-oral scanning [11; 23] for the detection of dental disorders and the printing of three-dimensional models [17; 24]. The 3D printing in dentistry and maxillofacial surgery is also an important area related to printing techniques and materials. These methods involve general digital signal and image processing techniques [25] and include the methodology of registering dental images [26], implementation of augmented reality [27; 28], feature extraction, and machine learning for classification [22]. The main goals of these methods are evaluating treatment progress and early diagnosis of dental problems. Evaluation of digital implants, comparison of scanning technologies [15; 29], and three-dimensional digital modeling [16; 30; 31] are also important areas of research. Storage time has also been studied in other works [32; 33]. The ultimate aim of this research is to completely replace physical models with virtual digital structures. The aim of this work is to assess the efficiency of stereolithography printed models compared to classical plaster casts in dental practice, specifically in the fields of orthodontics and prosthodontics. It emphasizes the integration role of computational intelligence and the increasing significance of 3D printing techniques in these areas.