Evidence map›Paper›PMID 42220742›Full record

ReviewCureus2026

Artificial Intelligence (AI) in Computer-Aided Design (CAD): How AI Is Redefining Dental CAD.

Joseph Nassif, Wadih Nassif, Jad Sabbagh, Rita Attarian, Ghassan Moustafa

Abstract readReview
In one paragraph

Review in Cureus, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Joseph NassifFaculty of Dentistry, Lebanese University, Beirut, LBN.
Wadih NassifDepartment of Prosthodontics, Lebanese University, Beirut, LBN.
Jad SabbaghDepartment of Prosthodontics, Saint Joseph University of Beirut, Beirut, LBN.
Rita AttarianFaculty of Dentistry, Lebanese University, Beirut, LBN.
Ghassan MoustafaDepartment of Prosthodontics, Lebanese University, Beirut, LBN.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Artificial intelligence (AI) is becoming an increasingly important component of modern dentistry, particularly with the expansion of digital workflows and computer-aided design (CAD) technologies. This article explores the role of AI in dentistry, with a specific focus on its integration into digital dentistry and restorative CAD design. The objective is to clarify how AI technologies can support clinicians and dental technicians in improving accuracy, efficiency, and consistency in dental practice. The article introduces the fundamental concepts of AI, machine learning (ML), and deep learning (DL) to provide a foundation for understanding their clinical applications. It also reviews the implementation of AI across several dental specialties, including restorative dentistry, prosthodontics, implantology, orthodontics, endodontics, periodontology, oral and maxillofacial radiology, oral pathology, forensic dentistry, and digital dentistry. Particular attention is given to AI-integrated CAD systems used in fixed prosthetic design. The article further discusses current limitations of AI in dentistry, including issues related to data quality, ethical considerations, transparency, and the continuing need for clinician oversight. AI is presented as a supportive tool that can enhance digital workflows and assist dental professionals in delivering more predictable restorative outcomes while complementing clinical expertise and professional judgment.

Indexed as

artificial intelligence in dentistryartificial intelligence in prosthodonticscomputer-aided designdigital dentistrygenerative adversarial network (gan)

Identifiers

PMID42220742
PMCPMC13218317

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.