Evidence map›Paper›PMID 42701764›Full record

ArticleBioinformation2026

Artificial intelligence in endodontics: A comprehensive review of applications and advancement.

Ameer Akhil Ahmed Shaik, Puspita Guha, Dhruvi Patel, Madhura Jadhav, Arindam Banik, Nirav Parmar, Mrunal Dave

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Bioinformation, 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

7 authors.

Ameer Akhil Ahmed ShaikDepartment of Dental Surgery and General Dentistry, Narayana Dental College, Nellore, India.
Puspita GuhaDepartment of Dentistry, Agartala Government Dental College, Agartala, Tripura, India.
Dhruvi PatelDepartment of Dental Surgery, College of Dental Sciences and Research Centre, Ahmedabad, Gujarat, India.
Madhura JadhavDepartment of Orthodontics and Dentofacial Orthopaedics, Bharati Vidyapeeth (Deemed to be University) Dental College and Hospital, Pune, Maharashtra, India.
Arindam BanikDepartment of Conservative Dentistry and Endodontics, Guru Nanak Institute of Dental Sciences and Research, Kolkata, West Bengal, India.
Nirav ParmarDepartment of Conservative Dentistry and Endodontics, Faculty of Dental Science, Dharmsinh Desai University, Nadiad, Gujarat, India.
Mrunal DaveDepartment of Dentistry, Bethlehem Smile Design, Bethlehem, Pennsylvania, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The transformative impact of artificial intelligence (AI) on endodontics is gaining momentum. It highlights advancements in diagnostic accuracy, treatment planning and patient management. By integrating machine learning algorithms and imaging techniques, AI enhances clinical decision-making, reduces procedural errors and improves patient outcomes. Thus, data shows the current applications, challenges and future directions, proposing that AI will shape the future of endodontic practice and enhance the quality of dental care.

Indexed as

applicationArtificial intelligence (AI)endodontics

Identifiers

PMID42701764
PMCPMC13545932

What OpenQuestion holds

Textmetadata
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.