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Artificial Intelligence in Dental Diagnostics
Deep-learning applications in CBCT interpretation, root-canal segmentation, dataset quality, validation, performance reporting, and clinical limitations.
Research & Publications
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 · IADR Oral Presenter · Three Peer-Reviewed Articles
Featured · Cureus · 2026
Artificial Intelligence for Cone-Beam Computed Tomography in Endodontics
PubMed-Indexed
Sole-Author Publication
IADR 2026
Oral Research Presentation
3 Published
Peer-Reviewed Articles
1 Accepted
Currently In Press
2 Manuscripts
Currently Under Review
Publication status last reviewed: July 2026.
Featured Publication
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
01
Deep-learning applications in CBCT interpretation, root-canal segmentation, dataset quality, validation, performance reporting, and clinical limitations.
02
Generative neural networks, treatment visualization, biomechanical evaluation, and the relationship between digital planning tools and clinical decision-making.
03
Digital navigation, implant-positioning accuracy, 3D-printed try-ins, digital facebows, and technology-assisted restorative workflows.
04
Systematic reviews and structured evidence evaluation designed to distinguish technical performance from clinically meaningful application.
Publication Record
Publication categories are presented according to their current documented status. Accepted, under-review, and ongoing work is not presented as published.
Volodymyr Kachmar
Cureus Journal of Medical Science
2026 · Volume 18, Issue 6 · e110786
Volodymyr Kachmar
The American Journal of Medical Sciences and Pharmaceutical Research
February 4, 2026 · Volume 8, Issue 2 · Pages 08–29
Volodymyr Kachmar
SAP Dentistry / Salud, Ciencia y Tecnología
January 1, 2026 · Volume 4 · Article 212
Volodymyr Kachmar
Al-Rafidain Dental Journal
Accepted April 2026 · Forthcoming issue
Accepted in April 2026. Publication is scheduled for a forthcoming issue.
Volodymyr Kachmar and Ronald D. Perry
Journal name withheld pending publication
Working title
Manuscript currently undergoing peer review.
Volodymyr Kachmar and Ronald D. Perry
Journal name withheld pending publication
Working title
Manuscript currently undergoing peer review.
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. Under-review and ongoing projects may change.
Scientific Presentations

104th IADR/AADOCR/CADR General Session
An oral presentation examining the performance, validation, and limitations of artificial-intelligence methods used for CBCT root-canal segmentation.
Bates Research Day
Poster presented in collaboration with Thaleia Filokyprou.
Current Research
A collaborative, multidisciplinary systematic-review initiative examining relationships among oral pathogens, periodontal inflammation, and systemic health.
Dr. Kachmar contributes to research coordination across the collaborating groups and the structured evidence-synthesis workflow.
Project Structure
Project information reflects the documented working structure available in July 2026.
Research Approach
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.
Scholarly Service
Dr. Kachmar completed one formal manuscript review for Cureus Journal of Medical Science in May 2026 and received a reviewer certificate.
Research Collaboration
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.