Evidence map›Paper›PMID 39311453›Full record

ReviewJournal of dental research2024

Trustworthy Artificial Intelligence in Dentistry: Learnings from the EU AI Act.

M Ducret, E Wahal, D Gruson, S Amrani, R Richert, M Mouncif-Moungache, F Schwendicke

Abstract readReview
In one paragraph

Review in Journal of dental research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 3 pooled it
–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

22 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Artificial Intelligence (AI) Impact on Dental Education and Curriculum: A Systematic Review Following PRISMA Guidelines.European journal of dental education : official journal of the Association for Dental Education in Europe · 2026
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  7. [Current applications and future perspectives of automation technologies and devices in oral diagnosis and treatment].Hua xi kou qiang yi xue za zhi = Huaxi kouqiang yixue zazhi = West China journal of stomatology · 2026
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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

7 authors.

M DucretHospices Civils de Lyon, Lyon, France.ORCID 0000-0002-5462-6258
E WahalFTI Consulting EU, Bruxelles, Belgique.
D GrusonChaire Santé de Sciences Po, Paris, France.
S AmraniChaire IA en Santé de Paris Cité, Paris, France.
R RichertHospices Civils de Lyon, Lyon, France.
M Mouncif-MoungacheCERCRID, Centre de Recherches Critiques sur le Droit, UMR5137, Université Jean Monnet, Saint-Etienne, France.
F SchwendickeClinic for Conservative Dentistry and Periodontology, Ludwig-Maximilians-University Munich, Germany.ORCID 0000-0003-1223-1669

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Artificial intelligence systems (AISs) gain relevance in dentistry, encompassing diagnostics, treatment planning, patient management, and therapy. However, questions about the generalizability, fairness, and transparency of these systems remain. Regulatory and governance bodies worldwide are aiming to address these questions using various frameworks. On March 13, 2024, members of the European Parliament approved the Artificial Intelligence Act (AIA), which emphasizes trustworthiness and human-centeredness as relevant aspects to regulate AISs beyond safety and efficacy. This review presents the AIA and similar regulatory and governance efforts in other jurisdictions and lays out that regulations such as the AIA are part of a complex ecosystem of interdependent and interwoven legal requirements and standards. Current efforts to regulate dental AISs require active input from the dental community, with participation of dental research, education, providers, and patients being relevant to shape the future of dental AISs.

Indexed as

Artificial IntelligenceEuropean UnionDentistryHumansTrustalgorithmsbiomedical ethicsdeep learningEuropemachine learningregulation

Identifiers

PMID39311453
PMCPMC11500481

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.