Evidence map›Paper›PMID 42650978›Full record

ReviewDiagnostics (Basel, Switzerland)2026

Deep Learning for the Assessment of Alveolar Bone Loss on Intraoral Radiographs: A Systematic Review.

Nada Tawfig Hashim, Bakri Gobara Gismalla, Muhammed Mustahsen Rahman, Riham Mohammed, Vivek Padmanabhan, Md Sofiqul Islam, Rasha Babiker, Mariam Elsheikh, Ayman Ahmed, Bhavna Jha Kukreja

Abstract readReview
In one paragraph

Review in Diagnostics (Basel, Switzerland), 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

10 authors.

Nada Tawfig HashimDepartment of Periodontics, RAK College of Dental Sciences, RAK Medical & Health Sciences University, Ras-AL Khaimah 12973, United Arab Emirates.ORCID 0000-0001-5485-2768
Bakri Gobara GismallaDepartment of Oral Rehabilitation, Faculty of Dentistry, University of Khartoum, Khartoum 11115, Sudan.
Muhammed Mustahsen RahmanDepartment of Periodontics, RAK College of Dental Sciences, RAK Medical & Health Sciences University, Ras-AL Khaimah 12973, United Arab Emirates.
Riham MohammedDepartment of Oral Surgery, RAK College of Dental Sciences, RAK Medical & Health Sciences University, Ras-Al Khaimah 12973, United Arab Emirates.ORCID 0000-0003-3017-6245
Vivek PadmanabhanDepartment of Pediatric and Preventive Dentistry, RAK College of Dental Sciences, RAK Medical & Health Sciences University, Ras-Al Khaimah 12973, United Arab Emirates.
Md Sofiqul IslamDepartment of Operative Dentistry, RAK College of Dental Sciences, RAK Medical and Health Sciences University, Ras-Al Khaimah 12973, United Arab Emirates.ORCID 0000-0003-0604-9553
Rasha BabikerDepartment of Physiology, RAK College of Medical Sciences, RAK Medical and Health Sciences University, Ras Al Khaimah 11172, United Arab Emirates.ORCID 0000-0002-9456-2033
Mariam ElsheikhDepartment of Oral &Maxillofacial Surgery, Faculty of Dentistry, University of Khartoum, Khartoum 102, Sudan.
Ayman AhmedDepartment of Periodontology and Implantology, College of Dentistry, The National Ribat University, Khartoum 11115, Sudan.ORCID 0009-0001-1523-1683
Bhavna Jha KukrejaDepartment of Preventive Dental Sciences, College of Dentistry, Gulf Medical University, Ajman 4184, United Arab Emirates.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

alveolar bone lossartificial intelligencebitewing radiographyconvolutional neural networkdeep learningdiagnostic imagingperiapical radiographyperiodontitissystematic review

Identifiers

PMID42650978
PMCPMC13512858

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.