Restoration DesignNCT07295964
Accuracy of Intraoral Scan Post-processing Methods: A Clinical Trial
A study testing Artificial intelligence driven registration and Software based registration in people with Restoration Design and Digital Occlusal Collision, run by National and Kapodistrian University of Athens at 1 site in Greece.
Trial summary
In the last decade, progressive developments in computer hardware, software, manufacturing technologies, and dental materials consistently enhanced the use of digital technologies in dentistry. Read more about this study
- Who is it for?
- Ages 18 years and olderHealthy volunteers can take part
- Conditions the study is for
- Restoration Design, Digital Occlusal Collision
- What is being tested?
- Artificial intelligence driven registration and Software based registration
- Could I receive a placebo?
- No, everyone receives an active treatment
- How many people
- 30 participants
- Where
- 1 siteGreece
- Study dates
- 25 Jan 2026to 25 Jun 2027
- Phase
- Interventional
- Are there results?
- Not yet: the study is under way
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 18 years and older
- All sexes
- Healthy volunteers accepted
- Adult, Older adult
Who may be able to join
- Age > 18 years old Absence of painful temporomandibular disorder Presence of opposing teeth Presence of a stable maximum intercuspation relationship
Who cannot join
- Pain in orofacial region Visible periapical lesion < Class II mobility
Trial locations and contacts
1 site in 1 country. Contact the study team or a site near you to ask about taking part.
Greece1 site
Clinic
Athens, Attica, 11527
Aspasia Sarafianou, DDS, MSc,PhD, 6985122220 ext. 30, ASPASAR@DENT.UOA.GR
About this study
Official title: Influence of AI Driven Software Programs and Digital Occlusal Collision Corrections on the Occlusal Adjustment of 3D-Printed Restorations: A Clinical Trial
In the last decade, progressive developments in computer hardware, software, manufacturing technologies, and dental materials consistently enhanced the use of digital technologies in dentistry. Traditional prosthodontic techniques have relied on manual fabrication processes, which often resulted in challenges such as suboptimal prosthesis fit, compromised occlusal stability, and limited customization options. However, the advent of 3D printing technology has revolutionized the field, offering new possibilities for patient-specific prosthodontic rehabilitation.
An accurate maxillomandibular relationship between the maxillary and mandibular casts is fundamental to prosthodontic practice. In the integration of intraoral scanners (IOSs) for different dental interventions, the accuracy of the digitizing methods recording the maxillomandibular relationship is similarly essential. The maxillomandibular relationship accuracy recorded by using IOSs has been analyzed in various in vitro and clinical studies.
Read more
Intraoral digital scans are recorded in an unload condition, with the mouth open, while acquiring the maxillary and the mandibular intraoral scans. This condition changes when capturing the virtual occlusal records at maximum intercuspation position (MIP). Occlusal collisions are caused by the tooth location discrepancy resulting from the periodontal ligament plasticity between the recording of the intraoral digital scans and the virtual occlusal records, as well as from the intraoral scanning distortion and alignment procedures.
Artificial intelligence driven program software and occlusal collisions or mesh interpenetrations tools have been proposed to improve the maxillomandibular relationship of the scanned models. The software programs of the IOSs can automatically eliminate the occlusal collisions present in virtual articulated casts. Similarly, dental computer-aided design (CAD) programs can automatically detect and eliminate occlusal collisions among the articulated intraoral digital scans imported. However, the effect of the occlusal collision corrections performed by using IOSs or CAD programs on the occlusal adjustment of the restorations is unknown.
Read the detailed description
Objectives The goal of this clinical investigation is to assess the impact of occlusal collision corrections performed by the software program of 2 intraoral scanners (TRIOS 4; 3Shape A/S, i700; Medit) and two dental CAD programs (DentalCAD, Rijeka; exocad \& Dental System ;3Shape), for maxillomandibular relationship acquired at maximum intercuspation position, on the intraoral occlusal adjustment of 3D-printed restorations. The null hypothesis was that no difference would be found for the intraoral occlusal adjustment of the assessed 3D-printed restorations, designed by the different collision correction methods, independently of the IOS and the dental CAD software.
Materials and methods In total 30 patients are going to be enrolled in the present study. Initially, two intraoral scanners will be used to record the experimental digital scans: TRIOS 4 (TRIOS 4, wireless, v. 22.2.3; 3Shape A/S) and i700 (i700, Medit). Two groups will be established depending on the correction of the occlusal collisions performed by using the IOS software program: not corrected and corrected group. Moreover, 3 subgroups will be established based on the following correction procedures performed in a dental CAD program (DentalCAD, Rijeka; exocad GmbH): no changes, cast trimming (trimming subgroup), opening of the vertical dimension (opening subgroup).
For each record a model-free complete digital workflow will be employed to print a crown using a 3D printer (Pro 2, Sprintray) with a compatible resin (KeyDenture Try-in, KeystoneIndustries). Each restoration is going to be tried and fit intraorally. The sequence of try-in will be randomized. Initially, after adjusting for distal and mesial approximal contact areas, the internal fit will be checked and adjusted to eliminate any interferences in order to ensure the optimal fitting of the restorations. After ensuring optimal fitting, the investigator will take an intraoral quadrant scan including the crown.
The occlusal adjustment strategy will be as follows: Under normal occlusal forces, 8 μm articulating film (AccuFilm, FastCheck, Parkell) will be used consecutively, followed by occlusal contact check using 8 μm articulation foil (Shimstock-foil, Bausch, Cologne, Germany) under strong occlusal forces. Then the occlusal adjustments will be made with fine diamond burs and will polished. After that, the same investigator will take in intraoral digital quadrant scan to record the post-adjustment volume of the each crown.
For the qualitative analysis, color-coded maps of the superimposed pre- and post-adjustment .STL files will be used, utilizing metrology software (Geomagic, 3DSystems). The primary outcome measure will be the volumetric measurement (mm3) of occlusal adjustment amount of the tested 3D printed restorations. The color codes will be standardized in every evaluation, and the occlusal views of color-coded maps will be evaluated by two investigators independently. Less than 0.3 mm differences which were presented in green and yellow, are going to be considered clinically as irrelevant. Meanwhile, turquoise (0.3-04mm), dark blue (0.4-0.5 mm), and red (>0.5 mm) will be taken into consideration for the evaluation. The investigators will rate the adjustment amount 0-4 scores based on the adjustment surface, and the geometrical characteristics of the adjustment. Grade 4 adjustments will be considered to require renewal of the restoration due to a change in the anatomical contour of the reconstructions, whereas Grade 0 will be considered as perfect.
Inclusion criteria Age > 18 years old Absence of painful temporomandibular disorder Presence of natural opposing teeth Presence of a stable maximum intercuspation relationship Exclusion criteria Pain in orofacial region Visible periapical lesion < Class II mobility
Statistical Analysis The descriptive statistics will be given as mean (standard deviation) and median [first and third quartiles] for continuous variables, while frequency and percentages will be given for categorical variables. The 2 × 2 cross-table variance analyses and Greenhouse Geisser corrections will be tested for the carry-over effect. The two dependent and independent variables will be compared via the Wilcoxon and Mann-Whitney U tests, respectively. For the 2 × 2 crossover design, repeated measure ANOVA will be implemented. The Wilcoxon test analyzed the operator and patient preferences outcomes. Statistical analysis will be performed using a statistical software program (SPSS Statistics, v23.0; IBM Corp, New York, USA). The significance level will set at p<0.05.
- Conditions
- Restoration Design, Digital Occlusal Collision
- Being tested
- Artificial intelligence driven registration, Software based registration
- Keywords
- Artificial intelligence, Prosthodontics, Automated Design, Occlusion Collusion
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
Artificial intelligence driven registrationOther
Maxillomandibular relationship is refined using AI driven tools
Software based registrationOther
Maxillomandibular relationship is refined using software based algorithms
| Study group | Role | What they receive |
|---|---|---|
| AI driven design | Experimental | The restoration is designed using an AI driven software Receives: Other: Artificial intelligence driven registration |
| AI driven refinement of maxillomandibular relatioship | Experimental | The restoration is design using a maxillomandibular relationship refined by an AI tool Receives: Other: Artificial intelligence driven registration |
| Design of a restoration after automated collision correction | Experimental | The restoration is designed using the maxillomandibular relationship obtained after the use of a software for automated collision correction Receives: Other: Software based registration |
| Design of a restoration using the registration without any further refinement | Active comparator | The restoration is designed using the conventional maxillomandibular relationship as it i obtained by the intraoral scanning without further refinement Receives: Other: Software based registration |
What is being measured
The primary outcome is the main question the study is designed to answer.
Level of adjustment
The investigators will rate the adjustment amount 0-4 scores based on the adjustment surface, and the geometrical characteristics of the adjustment. Grade 4 adjustments will be considered to require renewal of the restoration due to a change in the anatomical contour of the reconstructions, whereas Grade 0 will be considered as perfect.
Measured: Baseline, after the adjustment of the try-in restorations
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted22 Dec 2025
- Study start25 Jan 2026 (estimated)
- Primary completion25 Dec 2026 (estimated)
- Study completion25 Jun 2027 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (16)Papers the sponsor has linked to this study.
- Other trials for Restoration DesignStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Interventional
- Phase
- Phase N/A
- Primary purpose
- Treatment
- Allocation
- Randomised
- Intervention model
- Single group
- Masking
- Quadruple blind
- Who is masked
- Participant, Care provider, Investigator, Outcomes assessor
- Enrolment
- 30 participants (estimated)
Sponsor and investigators
- Lead sponsor
- National and Kapodistrian University of Athens
- Sponsor type
- University, hospital or other
- Responsible party
- Principal investigator, Panagiotis Ntovas, National and Kapodistrian University of Athens
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT07295964
- Sponsor's protocol ID
- STUDY3534
- Status last verified
- Dec 2025
- First submitted
- 9 Jan 2025
- Last updated
- 22 Dec 2025
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- Yes: Only IPD used in the results publication
Publications
Yuzbasioglu E, Kurt H, Turunc R, Bilir H. Comparison of digital and conventional impression techniques: evaluation of patients' perception, treatment comfort, effectiveness and clinical outcomes. BMC Oral Health. 2014 Jan 30;14:10. doi: 10.1186/1472-6831-14-10.
PubMed 24479892Sakrana AA. In vitro evaluation of the marginal and internal discrepancies of different esthetic restorations. J Appl Oral Sci. 2013 Nov-Dec;21(6):575-80. doi: 10.1590/1679-775720130064.
PubMed 24473725Kokubo Y, Ohkubo C, Tsumita M, Miyashita A, Vult von Steyern P, Fukushima S. Clinical marginal and internal gaps of Procera AllCeram crowns. J Oral Rehabil. 2005 Jul;32(7):526-30. doi: 10.1111/j.1365-2842.2005.01458.x.
PubMed 15975133Mai HN, Lee KB, Lee DH. Fit of interim crowns fabricated using photopolymer-jetting 3D printing. J Prosthet Dent. 2017 Aug;118(2):208-215. doi: 10.1016/j.prosdent.2016.10.030. Epub 2017 Jan 12.
PubMed 28089333van Noort R. The future of dental devices is digital. Dent Mater. 2012 Jan;28(1):3-12. doi: 10.1016/j.dental.2011.10.014. Epub 2011 Nov 26.
PubMed 22119539Ng J, Ruse D, Wyatt C. A comparison of the marginal fit of crowns fabricated with digital and conventional methods. J Prosthet Dent. 2014 Sep;112(3):555-60. doi: 10.1016/j.prosdent.2013.12.002. Epub 2014 Mar 11.
PubMed 24630399Delong R, Ko CC, Anderson GC, Hodges JS, Douglas WH. Comparing maximum intercuspal contacts of virtual dental patients and mounted dental casts. J Prosthet Dent. 2002 Dec;88(6):622-30. doi: 10.1067/mpr.2002.129379.
PubMed 12488856van den Bergh HT, Owen CP, Howes DG. A comparison of different methods and materials for establishing maximal intercuspal position: A clinical study. J Prosthet Dent. 2024 Oct;132(4):749-754. doi: 10.1016/j.prosdent.2022.01.036. Epub 2022 Sep 30.
PubMed 36184310Morsy N, El Kateb M. Accuracy of intraoral scanners for static virtual articulation: A systematic review and meta-analysis of multiple outcomes. J Prosthet Dent. 2024 Sep;132(3):546-552. doi: 10.1016/j.prosdent.2022.09.005. Epub 2022 Nov 2.
PubMed 36333175Revilla-Leon M, Gomez-Polo M, Zeitler JM, Barmak AB, Kois JC, Perez-Barquero JA. Does the available interocclusal space influence the accuracy of the maxillomandibular relationship captured with an intraoral scanner? J Prosthet Dent. 2024 Aug;132(2):435-440. doi: 10.1016/j.prosdent.2022.09.004. Epub 2022 Oct 28.
PubMed 36349566Ries JM, Grunler C, Wichmann M, Matta RE. Three-dimensional analysis of the accuracy of conventional and completely digital interocclusal registration methods. J Prosthet Dent. 2022 Nov;128(5):994-1000. doi: 10.1016/j.prosdent.2021.03.005. Epub 2021 Apr 19.
PubMed 33888327Abdulateef S, Edher F, Hannam AG, Tobias DL, Wyatt CCL. Clinical accuracy and reproducibility of virtual interocclusal records. J Prosthet Dent. 2020 Dec;124(6):667-673. doi: 10.1016/j.prosdent.2019.11.014. Epub 2020 Feb 1.
PubMed 32014284Edher F, Hannam AG, Tobias DL, Wyatt CCL. The accuracy of virtual interocclusal registration during intraoral scanning. J Prosthet Dent. 2018 Dec;120(6):904-912. doi: 10.1016/j.prosdent.2018.01.024. Epub 2018 Jun 28.
PubMed 29961618Yee SHX, Esguerra RJ, Chew AAQ, Wong KM, Tan KBC. Three-Dimensional Static Articulation Accuracy of Virtual Models - Part I: System Trueness and Precision. J Prosthodont. 2018 Feb;27(2):129-136. doi: 10.1111/jopr.12723. Epub 2017 Dec 13.
PubMed 29235202Zimmermann M, Ender A, Attin T, Mehl A. Accuracy of Buccal Scan Procedures for the Registration of Habitual Intercuspation. Oper Dent. 2018 Nov/Dec;43(6):573-580. doi: 10.2341/17-272-C. Epub 2018 Apr 9.
PubMed 29630481
Study at a glance
From the registry record, last updated by the sponsor on 22 Dec 2025. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Influence of AI Driven Software Programs and Digital Occlusal Collision Corrections on the Occlusal Adjustment of 3D-Printed Restorations: A Clinical Trial
- ClinicalTrials.gov ID
- NCT07295964
- Acronym / sponsor ID
- STUDY3534
- Conditions
- Restoration Design, Digital Occlusal Collision
- Keywords
- Artificial intelligence, Prosthodontics, Automated Design, Occlusion Collusion
- Study type
- Interventional
- Recruitment status
- Not yet recruiting
- Enrolment
- 30 participants (estimated)
- Lead sponsor
- National and Kapodistrian University of AthensUniversity, hospital or other
- Study start
- 25 Jan 2026 (estimated)
- Primary completion
- 25 Dec 2026 (estimated)
- Study completion
- 25 Jun 2027 (estimated)
- First posted
- 22 Dec 2025 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
In the last decade, progressive developments in computer hardware, software, manufacturing technologies, and dental materials consistently enhanced the use of digital technologies in dentistry. Traditional prosthodontic techniques have relied on manual fabrication processes, which often resulted in challenges such as suboptimal prosthesis fit, compromised occlusal stability, and limited customization options. However, the advent of 3D printing technology has revolutionized the field, offering new possibilities for patient-specific prosthodontic rehabilitation.
An accurate maxillomandibular relationship between the maxillary and mandibular casts is fundamental to prosthodontic practice. In the integration of intraoral scanners (IOSs) for different dental interventions, the accuracy of the digitizing methods recording the maxillomandibular relationship is similarly essential. The maxillomandibular relationship accuracy recorded by using IOSs has been analyzed in various in vitro and clinical studies.
Intraoral digital scans are recorded in an unload condition, with the mouth open, while acquiring the maxillary and the mandibular intraoral scans. This condition changes when capturing the virtual occlusal records at maximum intercuspation position (MIP). Occlusal collisions are caused by the tooth location discrepancy resulting from the periodontal ligament plasticity between the recording of the intraoral digital scans and the virtual occlusal records, as well as from the intraoral scanning distortion and alignment procedures.
Artificial intelligence driven program software and occlusal collisions or mesh interpenetrations tools have been proposed to improve the maxillomandibular relationship of the scanned models. The software programs of the IOSs can automatically eliminate the occlusal collisions present in virtual articulated casts. Similarly, dental computer-aided design (CAD) programs can automatically detect and eliminate occlusal collisions among the articulated intraoral digital scans imported. However, the effect of the occlusal collision corrections performed by using IOSs or CAD programs on the occlusal adjustment of the restorations is unknown.
Detailed description
Objectives The goal of this clinical investigation is to assess the impact of occlusal collision corrections performed by the software program of 2 intraoral scanners (TRIOS 4; 3Shape A/S, i700; Medit) and two dental CAD programs (DentalCAD, Rijeka; exocad \& Dental System ;3Shape), for maxillomandibular relationship acquired at maximum intercuspation position, on the intraoral occlusal adjustment of 3D-printed restorations. The null hypothesis was that no difference would be found for the intraoral occlusal adjustment of the assessed 3D-printed restorations, designed by the different collision correction methods, independently of the IOS and the dental CAD software.
Materials and methods In total 30 patients are going to be enrolled in the present study. Initially, two intraoral scanners will be used to record the experimental digital scans: TRIOS 4 (TRIOS 4, wireless, v. 22.2.3; 3Shape A/S) and i700 (i700, Medit). Two groups will be established depending on the correction of the occlusal collisions performed by using the IOS software program: not corrected and corrected group. Moreover, 3 subgroups will be established based on the following correction procedures performed in a dental CAD program (DentalCAD, Rijeka; exocad GmbH): no changes, cast trimming (trimming subgroup), opening of the vertical dimension (opening subgroup).
For each record a model-free complete digital workflow will be employed to print a crown using a 3D printer (Pro 2, Sprintray) with a compatible resin (KeyDenture Try-in, KeystoneIndustries). Each restoration is going to be tried and fit intraorally. The sequence of try-in will be randomized. Initially, after adjusting for distal and mesial approximal contact areas, the internal fit will be checked and adjusted to eliminate any interferences in order to ensure the optimal fitting of the restorations. After ensuring optimal fitting, the investigator will take an intraoral quadrant scan including the crown.
The occlusal adjustment strategy will be as follows: Under normal occlusal forces, 8 μm articulating film (AccuFilm, FastCheck, Parkell) will be used consecutively, followed by occlusal contact check using 8 μm articulation foil (Shimstock-foil, Bausch, Cologne, Germany) under strong occlusal forces. Then the occlusal adjustments will be made with fine diamond burs and will polished. After that, the same investigator will take in intraoral digital quadrant scan to record the post-adjustment volume of the each crown.
For the qualitative analysis, color-coded maps of the superimposed pre- and post-adjustment .STL files will be used, utilizing metrology software (Geomagic, 3DSystems). The primary outcome measure will be the volumetric measurement (mm3) of occlusal adjustment amount of the tested 3D printed restorations. The color codes will be standardized in every evaluation, and the occlusal views of color-coded maps will be evaluated by two investigators independently. Less than 0.3 mm differences which were presented in green and yellow, are going to be considered clinically as irrelevant. Meanwhile, turquoise (0.3-04mm), dark blue (0.4-0.5 mm), and red (>0.5 mm) will be taken into consideration for the evaluation. The investigators will rate the adjustment amount 0-4 scores based on the adjustment surface, and the geometrical characteristics of the adjustment. Grade 4 adjustments will be considered to require renewal of the restoration due to a change in the anatomical contour of the reconstructions, whereas Grade 0 will be considered as perfect.
Inclusion criteria Age > 18 years old Absence of painful temporomandibular disorder Presence of natural opposing teeth Presence of a stable maximum intercuspation relationship Exclusion criteria Pain in orofacial region Visible periapical lesion < Class II mobility
Statistical Analysis The descriptive statistics will be given as mean (standard deviation) and median [first and third quartiles] for continuous variables, while frequency and percentages will be given for categorical variables. The 2 × 2 cross-table variance analyses and Greenhouse Geisser corrections will be tested for the carry-over effect. The two dependent and independent variables will be compared via the Wilcoxon and Mann-Whitney U tests, respectively. For the 2 × 2 crossover design, repeated measure ANOVA will be implemented. The Wilcoxon test analyzed the operator and patient preferences outcomes. Statistical analysis will be performed using a statistical software program (SPSS Statistics, v23.0; IBM Corp, New York, USA). The significance level will set at p<0.05.
Study design
- Primary purpose
- Treatment
- Allocation
- Randomised
- Intervention model
- Single group
- Masking
- Quadruple blind (participant, care provider, investigator, outcomes assessor)
- Number of arms
- 4
| Arm | Type | Receives |
|---|---|---|
| AI driven design | Experimental | Other: Artificial intelligence driven registrationThe restoration is designed using an AI driven software |
| AI driven refinement of maxillomandibular relatioship | Experimental | Other: Artificial intelligence driven registrationThe restoration is design using a maxillomandibular relationship refined by an AI tool |
| Design of a restoration after automated collision correction | Experimental | Other: Software based registrationThe restoration is designed using the maxillomandibular relationship obtained after the use of a software for automated collision correction |
| Design of a restoration using the registration without any further refinement | Active comparator | Other: Software based registrationThe restoration is designed using the conventional maxillomandibular relationship as it i obtained by the intraoral scanning without further refinement |
Who may qualify
- Ages
- 18 years and older
- Sex
- All
- Healthy volunteers
- Accepted
- Age groups
- Adult, Older adult
Key inclusion criteria (1 listed)
- Age > 18 years old Absence of painful temporomandibular disorder Presence of opposing teeth Presence of a stable maximum intercuspation relationship
Key exclusion criteria (1 listed)
- Pain in orofacial region Visible periapical lesion < Class II mobility
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| Artificial intelligence driven registrationMaxillomandibular relationship is refined using AI driven tools | Other | AI driven design, AI driven refinement of maxillomandibular relatioship |
| Software based registrationMaxillomandibular relationship is refined using software based algorithms | Other | Design of a restoration after automated collision correction, Design of a restoration using the registration without any further refinement |
Primary outcome
Level of adjustment
Time frame: Baseline, after the adjustment of the try-in restorations
The investigators will rate the adjustment amount 0-4 scores based on the adjustment surface, and the geometrical characteristics of the adjustment. Grade 4 adjustments will be considered to require renewal of the restoration due to a change in the anatomical contour of the reconstructions, whereas Grade 0 will be considered as perfect.
Results and safety
This study is still under way. Results are not available in the source record yet.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 22 Dec 2025.
- Background: PubMed 24479892Yuzbasioglu E, Kurt H, Turunc R, Bilir H. Comparison of digital and conventional impression techniques: evaluation of patients' perception, treatment comfort, effectiveness and clinical outcomes. BMC Oral Health. 2014 Jan 30;14:10. doi: 10.1186/1472-6831-14-10.
- Background: PubMed 24473725Sakrana AA. In vitro evaluation of the marginal and internal discrepancies of different esthetic restorations. J Appl Oral Sci. 2013 Nov-Dec;21(6):575-80. doi: 10.1590/1679-775720130064.
- Background: PubMed 15975133Kokubo Y, Ohkubo C, Tsumita M, Miyashita A, Vult von Steyern P, Fukushima S. Clinical marginal and internal gaps of Procera AllCeram crowns. J Oral Rehabil. 2005 Jul;32(7):526-30. doi: 10.1111/j.1365-2842.2005.01458.x.
- Background: PubMed 28089333Mai HN, Lee KB, Lee DH. Fit of interim crowns fabricated using photopolymer-jetting 3D printing. J Prosthet Dent. 2017 Aug;118(2):208-215. doi: 10.1016/j.prosdent.2016.10.030. Epub 2017 Jan 12.
- Background: PubMed 22119539van Noort R. The future of dental devices is digital. Dent Mater. 2012 Jan;28(1):3-12. doi: 10.1016/j.dental.2011.10.014. Epub 2011 Nov 26.
- Background: PubMed 24630399Ng J, Ruse D, Wyatt C. A comparison of the marginal fit of crowns fabricated with digital and conventional methods. J Prosthet Dent. 2014 Sep;112(3):555-60. doi: 10.1016/j.prosdent.2013.12.002. Epub 2014 Mar 11.
- Background: PubMed 12488856Delong R, Ko CC, Anderson GC, Hodges JS, Douglas WH. Comparing maximum intercuspal contacts of virtual dental patients and mounted dental casts. J Prosthet Dent. 2002 Dec;88(6):622-30. doi: 10.1067/mpr.2002.129379.
- Background: PubMed 36184310van den Bergh HT, Owen CP, Howes DG. A comparison of different methods and materials for establishing maximal intercuspal position: A clinical study. J Prosthet Dent. 2024 Oct;132(4):749-754. doi: 10.1016/j.prosdent.2022.01.036. Epub 2022 Sep 30.
- Background: PubMed 36333175Morsy N, El Kateb M. Accuracy of intraoral scanners for static virtual articulation: A systematic review and meta-analysis of multiple outcomes. J Prosthet Dent. 2024 Sep;132(3):546-552. doi: 10.1016/j.prosdent.2022.09.005. Epub 2022 Nov 2.
- Background: PubMed 36349566Revilla-Leon M, Gomez-Polo M, Zeitler JM, Barmak AB, Kois JC, Perez-Barquero JA. Does the available interocclusal space influence the accuracy of the maxillomandibular relationship captured with an intraoral scanner? J Prosthet Dent. 2024 Aug;132(2):435-440. doi: 10.1016/j.prosdent.2022.09.004. Epub 2022 Oct 28.
- Background: PubMed 33888327Ries JM, Grunler C, Wichmann M, Matta RE. Three-dimensional analysis of the accuracy of conventional and completely digital interocclusal registration methods. J Prosthet Dent. 2022 Nov;128(5):994-1000. doi: 10.1016/j.prosdent.2021.03.005. Epub 2021 Apr 19.
- Background: PubMed 32014284Abdulateef S, Edher F, Hannam AG, Tobias DL, Wyatt CCL. Clinical accuracy and reproducibility of virtual interocclusal records. J Prosthet Dent. 2020 Dec;124(6):667-673. doi: 10.1016/j.prosdent.2019.11.014. Epub 2020 Feb 1.
- Individual participant dataSharing planned: Yes. Only IPD used in the results publication
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part.
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
A study testing Artificial intelligence driven registration and Software based registration in people with Restoration Design and Digital Occlusal Collision, run by National and Kapodistrian University of Athens at 1 site in Greece.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 1 inclusion and 1 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: opening soon, as of the sponsor's last update on 22 Dec 2025. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in Greece. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
This study is still under way. Results are not available in the source record yet.
How can a doctor refer a patient or contact the research team?
Contact Panagiotis Ntovas, DDS, MSc (6985122220 ext. 30, pan.ntovas@gmail.com), or a site near the patient. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Level of adjustment (time frame: Baseline, after the adjustment of the try-in restorations). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT07295964, which also lists 16 linked publications.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 22 Dec 2025.