01
Artificial Intelligence in Dental Diagnostics
Deep-learning applications in CBCT interpretation, root-canal segmentation, dataset quality, validation, performance reporting, and clinical limitations.
Research & Publications
Evaluating Emerging Technologies in Clinical Dentistry
Dr. Volodymyr Kachmar’s scholarly work examines artificial intelligence in dental diagnostics, digital esthetic planning, three-dimensional clinical technologies, and the evidence supporting their translation into clinical practice.
His research focuses on how emerging tools are validated, where limitations remain, and when published findings can responsibly inform clinical decision-making.
PubMed-Indexed Sole Author · Three Peer-Reviewed Articles
Featured · Cureus · 2026
Artificial Intelligence for Cone-Beam Computed Tomography in Endodontics
- Journal
- Cureus J Med Sci
- Volume / Issue
- 18 · 6 · e110786
- Indexing
- PubMed · PMC
- Authorship
- Sole Author
PubMed-Indexed
Sole-Author Publication
3 Published
Peer-Reviewed Articles
Publication status last reviewed: July 2026.
Featured Publication
Artificial Intelligence for Cone-Beam Computed Tomography in Endodontics: A PRISMA-Aligned Narrative Synthesis of Evidence From the United States and Europe (2021–2026)
Volodymyr Kachmar · Cureus Journal of Medical Science · June 13, 2026
This publication examines artificial-intelligence and deep-learning applications in CBCT-based endodontic diagnostics, with particular attention to root-canal segmentation, dataset construction, validation methods, performance reporting, and clinical generalizability.
The review distinguishes technical performance from clinical applicability and identifies limitations affecting the interpretation and translation of current evidence.
Research Focus
Connected Areas of Scholarly Work
02
Digital Esthetic Planning
Generative neural networks, treatment visualization, biomechanical evaluation, and the relationship between digital planning tools and clinical decision-making.
03
Three-Dimensional Clinical Technologies
Digital navigation, implant-positioning accuracy, 3D-printed try-ins, digital facebows, and technology-assisted restorative workflows.
04
Evidence Synthesis and Clinical Translation
Systematic reviews and structured evidence evaluation designed to distinguish technical performance from clinically meaningful application.
Publication Record
Published, Accepted, and Ongoing Scholarly Work
Publication categories are presented according to their current documented status. Accepted, under-review, and ongoing work is not presented as published.
PUBLISHED
Artificial Intelligence for Cone-Beam Computed Tomography in Endodontics: A PRISMA-Aligned Narrative Synthesis of Evidence From the United States and Europe (2021–2026)
Volodymyr Kachmar
Cureus Journal of Medical Science
2026 · Volume 18, Issue 6 · e110786
DOI: 10.7759/cureus.110786PMID: 42292713PMCID: PMC13264418
PUBLISHED
Comparative Evaluation of Biomechanical Parameters of Tissues After Aesthetic Rehabilitation Using Generative Neural Networks and Standard Planning Protocols
Volodymyr Kachmar
The American Journal of Medical Sciences and Pharmaceutical Research
February 4, 2026 · Volume 8, Issue 2 · Pages 08–29
DOI: 10.37547/tajmspr/Volume08Issue02-02
PUBLISHED
Impact of 3D Navigation on the Accuracy of Dental Implant Positioning in Full-Jaw Rehabilitation
Volodymyr Kachmar
SAP Dentistry / Salud, Ciencia y Tecnología
January 1, 2026 · Volume 4 · Article 212
DOI: 10.62486/dent2026212
EDUCATIONAL PUBLICATION
Radiography in Dentistry: Study Guide
I. M. Skyba · O. M. Romaniuk · V. S. Kachmar
Zhytomyr Medical Institute / Buk-Druk
2025 · 214 pages · ISBN 978-617-560-271-3
Original title: Рентгенографія в стоматології: навчальний посібник. Role: Co-Compiler.
Publication information reflects the documented status available in July 2026.
Research Approach
Evidence Before Hype
New technologies often attract attention before their clinical value is fully established. Dr. Kachmar’s research approach focuses on separating technical performance from clinical usefulness.
This includes examining how datasets are constructed, how results are validated, where bias may occur, how findings are reported, and whether results can be responsibly generalized to everyday dental practice.
The objective is not to promote technology for its own sake, but to identify where evidence supports clinical application, where limitations remain, and what clinicians should evaluate before adopting a new workflow.
Research Collaboration
Connect Around Evidence, Technology, and Clinical Translation
Dr. Kachmar welcomes professional collaboration involving artificial intelligence in dental diagnostics, digital esthetic workflows, three-dimensional clinical technologies, systematic reviews, and evidence-based dental education.