AI-Driven Risk Stratification of the Lingual Foramen: A CBCT-Based Prevalence and Morphological Analysis.

Nazargi Mahabob, Sukinah Sameer Alzouri, Muhammad Farooq Umer, Hatim Almahdi, Syed Akhtar Hussain Bokhari

Abstract read

In one paragraph

Article in Healthcare (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it

0cells of the map it votes in

2citing 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

2 citing papers in PubMed.

Artificial Intelligence in Implant Dentistry: Clinical Validity, Diagnostic Performance, Surgical Planning, and Medico-Legal Implications-A Narrative Review.Dentistry journal · 2026
Review
AI-Assisted Identification of the Medial Lingual Foramen on CBCT: A Deep Learning Approach for Preoperative Implant Assessment.Medicina (Kaunas, Lithuania) · 2026
Article

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.

Nazargi MahabobDepartment of Oral & Maxillofacial Surgery and Diagnostic Sciences, College of Dentistry, King Faisal University, Hofuf 31982, Al-Ahsa, Saudi Arabia.

Sukinah Sameer AlzouriDental Clinical Complex, College of Dentistry, King Faisal University, Hofuf 31982, Al-Ahsa, Saudi Arabia.

Muhammad Farooq UmerDepartment of Preventive Dental Sciences, College of Dentistry, King Faisal University, Hofuf 31982, Al-Ahsa, Saudi Arabia.ORCID 0000-0001-7779-1929

Hatim AlmahdiDepartment of Oral & Maxillofacial Surgery and Diagnostic Sciences, College of Dentistry, King Faisal University, Hofuf 31982, Al-Ahsa, Saudi Arabia.ORCID 0000-0001-8133-6216

Syed Akhtar Hussain BokhariDepartment of Preventive Dental Sciences, College of Dentistry, King Faisal University, Hofuf 31982, Al-Ahsa, Saudi Arabia.

Funding

This work was supported by the Deanship of Scientific Research, Vice Presidency for Graduate Studies and Scientific Research, King Faisal University, Saudi Arabia [Grant No.: KFU251396] This work was supported by the Deanship of Scientific Research, Vice Presidency for Graduate Studies and Scientific Research, King Faisal University, Saudi Arabia [Grant No.: KFU251396]

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Artificial Intelligence (AI)Cone Beam Computed Tomography (CBCT)Lingual Foramenmachine learning in data analysisrisk assessment

Identifiers

PMID40648539

DOI10.3390/healthcare13131515

PMCPMC12249325

What OpenQuestion holds

Textmetadata

LicenceCC BY

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Registered trials

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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.