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Clinical case

April 15, 2025

Digital Dentistry 2025: what’s next?

Prof. Carlo Mangano

MD, DDS, FICD
• Adjunct Professor of Digital Dentistry. Department of Dental Sciences, San Raffaele University, Milan, Italy
• Head of Digital Dentistry Unit Research, IRCCS San Raffaele Hospital, Milan, Italy
• Visiting Professor at UCAM University of Murcia, Spain
• Research Professor at University of Granada, Spain
• Active member of I.A.O. (Italian Academy of Osseointegration)
• Fellow of ICD (International College of Dentistry)
• Founding member and President elect of DDS (Digital Dentistry Society)
• Lecturer at National and International Congresses
• Author of 250 publications
• Author of 7 Books and Co-author of 7 Book Chapters on Biomaterials and Implantology

MIXED REALITY IN DENTISTRY

MIXED REALITY IN DENTISTRY

The digital revolution is changing dentistry. 3D imaging devices such as Cone-Beam Computed Tomography (CBCT), Intraoral Scanners (IOS) and Facial Scanners (FS) have a considerable impact. The fusion of information obtained from different devices into a single plan is complex due to the different nature of the acquired data. The creation of a 3D virtual patient depends on the integration and fusion of these files.

Currently, point-surface or voxel-related fusion methods are used, often manually selected. Ultimately there are AI software that automate these operations, Until now, implant planning has always required the use of dedicated software into which data from various 3D acquisitions can be imported to create the surgical plan.

A new technology promises to radically transform the world of surgery and implant planning: the Mixed Reality (MR) that refers to a technology capable of generating high-definition
virtual content and models (holograms) atop the existing environment, enhancing the user’s perception of reality.

In recent years, AI and MR have been tested individually for guided implant surgery applications in a few in vitro studies and in vivo reports. However, no clinical studies on the combined use of AI and MR in guided implant surgery were available until the publication of our first proof-of-concept article, in which the two techniques were used together to replace conventional guided implant surgery software. In that article, we demonstrated for the first time the possibility of creating an accurate implant surgical plan, using AI for the segmentation and automatic alignment of models from IOS and CBCT and MR for implant planning in a holographic environment, all authentically in 3D without using any implant planning software. Once the 3D models derived from IOS and CBCT have been loaded into AI software and the virtual models of the different anatomical structures have been segmented and aligned, it is possible to load the .STL files into the holographic system, where the operator can plan the insertion of one or more implants intuitively using their hands or dedicated joypads. Once the ideal position, inclination and depth of the implants have been confirmed, it is possible to save the set of files in the respective positions and use them for the design of a surgical guide following a static computer-assisted implant surgery, (s-CAIS) or dynamic navigation, (DN).

The Mixed Reality revolutionizes the guided implantology by integrating cutting-edge Extended Reality (XR) technologies—Augmented Reality (AR) and Virtual Reality (VR)—into the dental workflow, improving precision, efficiency, and patient acceptance by offering a more engaging, interactive, and transparent experience for patients undergoing implant procedures.

We can summarize the most significant advantages offered by Mixed Reality:
1. Optimize implant planning through AI-driven 3D data integration, allowing seamless fusion of CBCT, IOS, and FS datasets.
2. Enhance surgical accuracy by developing real-time AR-based visualization tools for guided implant procedures.
3. Improve patient education and acceptance by using VR to simulate the entire treatment process and expected outcomes.
4. Facilitate remote collaboration among dental professionals via cloud-based XR platforms, enabling real-time interdisciplinary discussions and second opinions.
5. Validate clinical performance through experimental and real-world applications, ensuring usability, precision, and effectiveness in dental implantology workflows.

One of the most significant barriers to successful dental implant therapy is patient anxiety and uncertainty regarding the procedure. Many patients fear the unknown aspects of implant surgery, leading to hesitation or refusal of treatment. This concern can be solved by leveraging XR technologies to provide patients with a clearer understanding of their treatment. Through AR and VR simulations, patients can visualize the entire process—from the initial planning stage to the expected outcome—allowing them to fully grasp what will happen during their surgery. This interactive and immersive experience not only reduces fear but also empowers patients, helping them feel more in control of their treatment and improving their psychological readiness for surgery. When patients are able to visualize their anticipated outcomes and actively contribute to decision-making, their confidence in the procedure and their clinician increases, leading to higher treatment acceptance rates.

The MR also improves clinical precision by integrating diagnostic data from Cone Beam Computed Tomography (CBCT), intraoral scanners (IOS), and facial scanners (FS) into a seamless 3D model. Using AI-driven algorithms, the system creates highly accurate virtual models, improving the accuracy of implant planning and reducing the likelihood of surgical errors. The integration of AR-based visualization tools offers real-time guidance during the procedure, which enhances surgical accuracy and reduces risks for patients.

Through its innovative approach, the Mixed Reality also supports remote collaboration among dental professionals, allowing for real-time consultations. This facilitates more informed, interdisciplinary decision-making, ensuring the patient receives the best possible care.

The Mixed Reality not only enhances the precision and effectiveness of implantology but also significantly improves patient acceptance of dental implant procedures. It represents a transformative shift in setting new standards for patient-centered care in digital dentistry. The idea was to use advanced software engineering techniques to integrate MR capabilities with existing digital dentistry tools to simplify the digital workflow and make it more accessible to more dentists.

FIG. 1 Prof. Mangano using a Mixed Reality tool.

Some years ago the collaboration of our clinical group with a group of computer engineers led to the development of Mixed Reality System applied to guided surgery.
Based on our experience in clinical use of Mixed Reality and on other contributions on this topic in the literature, we can say that the following main outcomes have been achieved:
Increased surgical precision by integrating AI-powered 3D visualization with MR guidance.
Reduction in patient anxiety and treatment refusal rates, as patients can visualize and understand their treatment plan through VR simulations. The ability to preview treatment planning through Augmented and Virtual Reality headsets directly involves patients in the therapeutic process. This interaction significantly improves patient comprehension, reduces anxiety and uncertainty, and increases the acceptance rate of implant therapy. By visualizing the expected outcome before surgery, patients develop greater trust in the treatment plan.
Enhanced communication and decision-making among dental professionals using MR-enabled remote collaboration. Reducing design, prototyping, and communication times among specialists involved in the therapeutic process (dentists, dental technicians, maxillofacial surgeons, orthodontists), enhancing interdisciplinary collaboration. This means optimization of the digital workflow.
Higher efficiency in treatment planning by reducing manual intervention in dataset fusion and surgical guide generation.
Clinical validation of an MR-based workflow, setting the foundation for future AI-driven advancements in digital dentistry.

Compared to currently available guided surgery solutions, the use of MR introduces several distinctive features with defined advantages:
Compatibility and interoperability: the software is designed to integrate with leading guided implantology platforms, supporting standardized formats such as .STL, .OBJ, .PLY, and .GLB, ensuring maximum interoperability with CAD software and imaging systems.
Support for Augmented and Virtual Reality devices: the solution is compatible with advanced devices such as Magic Leap 2, HoloLens 2, Meta Quest 2/3/Pro, HTC, and Qualcomm, ensuring scalability and future-proof updates.
Clinically validated technology: a multi-user visualization software adopted in various clinics and hospitals worldwide, This project leverages an already tested and clinically validated technological infrastructure.
AI-driven 3D data integration: the project enhances implant planning through AI algorithms that enable seamless fusion of multiple datasets, significantly improving accuracy and efficiency.
High-precision implant planning: the ability to visualize anatomical structures in 3D enables more accurate implant positioning, reducing surgical errors.
Increased safety and reduced surgical risk: preoperative simulation minimizes the risk of complications, such as nerve damage or vascular injury, improving patient safety.
Minimally invasive procedures: enhanced planning accuracy allows for a more conservative approach, resulting in less surgical trauma and faster recovery times.
Efficiency in surgical and prosthetic phases: advanced digital pre-planning optimizes prosthetic fabrication, with the possibility of immediate loading in selected cases (e.g., All-on-Four and All-on-Six techniques).
Remote collaboration and interdisciplinary decision-making: this project further improves collaboration by providing cloud-enabled platforms for real-time consultations and second opinions, enhancing communication among dental professionals and contributing to better-informed decisions.

Enhancing Patient Acceptance in Implant Therapy through XR Technologies

Enhancing Patient Acceptance in Implant Therapy through XR Technologies

A critical challenge in modern dental implantology lies in improving patient acceptance of implant therapy, particularly concerning the anxiety and uncertainty that often accompany the procedure. Traditional approaches to treatment planning may leave patients feeling disconnected or unaware of the steps involved in their care. The integration of Mixed Reality (MR) technologies, specifically Augmented Reality (AR) and Virtual Reality (VR), represents a transformative shift in how patients experience the treatment process, offering significant improvements in patient engagement and therapy acceptance.

In conclusion, the Mixed Reality not only enhances the precision and effectiveness of implantology but also significantly improves patient acceptance of dental implant procedures. It represents a transformative shift in setting new standards for patient-centered care in digital dentistry.

The integration of Mixed Reality in guided implantology represents a significant advancement in digital dentistry, introducing innovative paradigms that optimize implant planning, enhance interdisciplinary collaboration, and ensure more precise and safer clinical outcomes. The adoption of this advanced technology promises to redefine the standards of implant practice, contributing to a more efficient and patient-centered future in dentistry.

Further developments include the implementation of artificial intelligence algorithms to automate the data fusion process, with the potential to further reduce processing times and improve the accuracy of digital models. Future perspectives also involve integration with robotic surgery systems and the adoption of personalized protocols based on biometric data, leading to precision dentistry tailored to individual patient needs. Through continuous innovations such as these, digital and extended reality technologies are poised to revolutionize the landscape of dental implantology, ensuring better outcomes for patients and clinicians alike.

The continued clinical validation of MR-based workflows will set the foundation for future AI-driven advancements, driving greater accessibility to advanced dental treatments and improving overall patient care. In the near future, digital technologies will evolve to enable the automated planning of implants in the ideal position, inclination and depth entirely by AI, as well as direct holographic surgery on patients.

“Mixed Reality represents a transformative shift in setting new standards for patient-centered care in dentistry.”

If you want to know more about the topic, here is a condensed review of pertinent literature

If you want to know more about the topic, here is a condensed review of pertinent literature

Recent advancements in artificial intelligence (AI) and virtual reality (VR) have significantly transformed dental implantology, particularly in the realms of implant planning, surgical precision, and patient education. These technologies have become essential tools for enhancing the overall clinical and patient experience.

Artificial Intelligence in Dental Implantology:
AI has demonstrated considerable potential in improving the accuracy and efficiency of implant planning. AI-driven algorithms can analyze Cone Beam Computed Tomography (CBCT) scans, intraoral images, and other diagnostic data to generate detailed 3D models for precise implant placement (Mangano et al., 2023).

Through machine learning, AI can also predict the optimal implant position, considering factors such as bone density, anatomical variations, and patient-specific conditions. AR, on the other hand, offers real-time visualization of the surgical site, overlaying implant placement instructions onto the patient’s anatomy during surgery. This augmented navigation helps dentists improve the precision of implant placement and reduces the risk of errors (Arunjaroensuk et al., 2024).

The integration of AI in diagnostic workflows aids clinicians in identifying potential complications, optimizing treatment plans, and ensuring better surgical outcomes (Mangano et al., 2024). Moreover, AI systems enhance dynamic navigation during surgeries, providing real-time feedback to surgeons and improving the accuracy of implant placement (Shusterman et al., 2024).

Virtual Reality and Augmented Reality in Implant Planning:
The use of VR and AR technologies in dental implantology is gaining momentum, particularly for patient education and surgical navigation. VR allows patients to visualize their treatment plans and potential outcomes in an immersive environment, thereby reducing anxiety and enhancing patient acceptance (Pellegrino et al., 2019).

Through realistic simulations, patients gain a better understanding of the procedure, which fosters trust and promotes their active involvement in decision-making (Lin et al., 2024).

AR applications have been shown to significantly enhance the alignment and positioning of implants, as well as surgical efficiency (Engelschalk et al., 2024).

Additionally, AR facilitates the use of virtual surgical checklists and step-by-step guidance, which are invaluable in complex implant procedures (Bochet et al., 2024).

Both VR and AR also offer significant benefits in educational settings, allowing dental students and clinicians to practice implant procedures in a risk-free virtual environment. The technology enables hands-on training without the need for live patients, which not only improves learning outcomes but also builds confidence (Lai et al., 2024).

Impact on Patient Outcomes and Acceptance:
The integration of AI and VR technologies positively influences patient outcomes by providing highly personalized treatment plans and real-time surgical guidance. These innovations also contribute to higher patient satisfaction due to the reduction of anxiety, the transparency of procedures, and the opportunity for patients to participate actively in their treatment planning (Shusterman et al., 2024).

Furthermore, studies indicate that patients are more likely to accept treatment plans when they understand the process and are able to visualize the expected outcomes (Sukotjo et al., 2023).

SOURCES

(1) Mangano FG, Yang KR, Lerner H, Admakin O, Mangano C. Artificial intelligence and mixed reality for dental implant planning: A technical note. Clin Implant Dent Relat Res. 2024 Oct;26(5):942-953. doi: 10.1111/cid.13357. Epub 2024 Jun 28. PMID: 38940681.

(2). Pellegrino G, Mangano C, Mangano R, Ferri A, Taraschi V, Marchetti C. Augmented reality for dental implantology: a pilot clinical report of two cases. BMC Oral Health. 2019 Jul 19;19(1):158. doi: 10.1186/s12903-019-0853-y. PMID: 31324246; PMCID: PMC6642526.

(3) Engelschalk M, Al Hamad KQ, Mangano R, Smeets R, Molnar TF. Dental implant placement with immersive technologies: A preliminary clinical report of augmented and mixed reality applications. J Prosthet Dent. 2024 Mar 12:S0022-3913(24)00141-0. doi: 10.1016/j.prosdent.2024.02.017. Epub ahead of print. Erratum in: J Prosthet Dent. 2024 Sep;132(3):656. doi: 10.1016/j.prosdent.2024.03.023. PMID: 38480015.

(4) Mangano FG, Admakin O, Lerner H, Mangano C. Artificial intelligence and augmented reality for guided implant surgery planning: A proof of concept. J Dent. 2023 Jun;133:104485. doi: 10.1016/j.jdent.2023.104485. Epub 2023 Mar 23. PMID: 36965859.

(5) Arunjaroensuk S, Yotpibulwong T, Fu PS, Wang JC, Hung CC, Mattheos N, Pimkhaokham A. Implant position accuracy using dynamic computer-assisted implant surgery (CAIS) combined with augmented reality: A randomized controlled clinical trial. J Dent Sci. 2024 Dec;19(Suppl 1):S44-S50. doi: 10.1016/j.jds.2024.09.004. Epub 2024 Sep 26. PMID: 39807435; PMCID: PMC11725068.

(6) Arunjaroensuk S, Yotpibulwong T, Fu PS, Wang JC, Hung CC, Mattheos N, Pimkhaokham A. Implant position accuracy using dynamic computer-assisted implant surgery (CAIS) combined with augmented reality: A randomized controlled clinical trial. J Dent Sci. 2024 Dec;19(Suppl 1):S44-S50. doi: 10.1016/j.jds.2024.09.004. Epub 2024 Sep 26. PMID: 39807435; PMCID: PMC11725068.

(7) Lai PL, Liu CT, Fu PS, Chen JH, Lan TH, Wang JC, Hung CC. Achieving new excellence in an augmented reality dental education system. J Dent Sci. 2024 Dec;19(Suppl 2):S136-S142. doi: 10.1016/j.jds.2024.07.023. Epub 2024 Aug 16. PMID: 39807256; PMCID: PMC11725084.

(8) Shusterman A, Nashef R, Tecco S, Mangano C, Mangano F. Implant placement using mixed reality-based dynamic navigation: A proof of concept. J Dent. 2024 Oct;149:105256. doi: 10.1016/j.jdent.2024.105256. Epub 2024 Jul 21. PMID: 39043329.

(9) Shusterman A, Nashef R, Tecco S, Mangano C, Lerner H, Mangano FG. Accuracy of implant placement using a mixed reality-based dynamic navigation system versus static computer-assisted and freehand surgery: An in Vitro study. J Dent. 2024 Jul;146:105052. doi: 10.1016/j.jdent.2024.105052. Epub 2024 May 9. PMID: 38734298.

(10) Bochet Q, Raoul G, Lauwers L, Nicot R. Augmented reality in implantology: Virtual surgical checklist and augmented implant placement. J Stomatol Oral Maxillofac Surg. 2024 Oct;125(5S2):101813. doi: 10.1016/j.jormas.2024.101813. Epub 2024 Mar 6. PMID: 38452901.

(11) Fan X, Feng Y, Tao B, Shen Y, Wu Y, Chen X. A hybrid robotic system for zygomatic implant placement based on mixed reality navigation. Comput Methods Programs Biomed. 2024 Jun;249:108156. doi: 10.1016/j.cmpb.2024.108156. Epub 2024 Mar 27. PMID: 38555744.

(12) González-Rueda JR, Galparsoro-Catalán A, de Paz-Hermoso VM, Riad-Deglow E, Zubizarreta-Macho Á, Pato-Mourelo J, Hernández-Montero S, Montero-Martín J. Accuracy of zygomatic dental implant placement using computer-aided static and dynamic navigation systems compared with a mixed reality appliance. An in vitro study. J Clin Exp Dent. 2023 Dec 1;15(12):e1035-e1044. doi: 10.4317/jced.61097. PMID: 38186921; PMCID: PMC10767737.

(13) Takács A, Hardi E, Cavalcante BGN, Szabó B, Kispélyi B, Joób-Fancsaly Á, Mikulás K, Varga G, Hegyi P, Kivovics M. Advancing accuracy in guided implant placement: A comprehensive meta-analysis: Meta-Analysis evaluation of the accuracy of available implant placement Methods. J Dent. 2023 Dec;139:104748. doi: 10.1016/j.jdent.2023.104748. Epub 2023 Oct 19. PMID: 37863173.

(14) Fan X, Tao B, Tu P, Shen Y, Wu Y, Chen X. A novel mixed reality-guided dental implant placement navigation system based on virtual-actual registration. Comput Biol Med. 2023 Nov;166:107560. doi: 10.1016/j.compbiomed.2023.107560. Epub 2023 Oct 11. PMID: 37847946.

(15) Sukotjo C, Bertucci DE, Patel JY, Yuan JC, Santoso M. Evaluating augmented reality e-typodont to improve a patient’s dental implant health literacy. J Prosthet Dent. 2023 Sep 13:S0022-3913(23)00539-5. doi: 10.1016/j.prosdent.2023.08.012. Epub ahead of print. PMID: 37714746.

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