Evidence map›Paper›PMID 42645436›Full record

ArticleDentistry journal2026

The Feasibility of One-Stage Instance Segmentation for Detecting Oral Potentially Malignant Disorders in White-Light Clinical Photographs: A Proof-of-Concept Study.

Swee Ling Low, Hui Teng Chong, Jin Wen Liew, Spoorthi Ravi Banavar, Prashanthi Chippagiri, Elaine Wan Ling Chan, Wan Siti Halimatul Munirah Wan Ahmad, Suan Phaik Khoo

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Dentistry journal, 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

8 authors.

Swee Ling LowDivision of Clinical Oral Health Sciences, School of Dentistry, IMU University, Kuala Lumpur 57000, Malaysia.
Hui Teng ChongDivision of Clinical Oral Health Sciences, School of Dentistry, IMU University, Kuala Lumpur 57000, Malaysia.ORCID 0009-0002-2145-2375
Jin Wen LiewDivision of Clinical Oral Health Sciences, School of Dentistry, IMU University, Kuala Lumpur 57000, Malaysia.ORCID 0009-0007-2340-2589
Spoorthi Ravi BanavarDivision of Clinical Oral Health Sciences, School of Dentistry, IMU University, Kuala Lumpur 57000, Malaysia.ORCID 0000-0002-3902-6836
Prashanthi ChippagiriDivision of Clinical Oral Health Sciences, School of Dentistry, IMU University, Kuala Lumpur 57000, Malaysia.
Elaine Wan Ling ChanDepartment of Data Science and Artificial Intelligence, School of Computing and Artificial Intelligence, Faculty of Engineering and Technology, Sunway University, Kuala Lumpur 47500, Malaysia.
Wan Siti Halimatul Munirah Wan AhmadDepartment of Data Science and Artificial Intelligence, School of Computing and Artificial Intelligence, Faculty of Engineering and Technology, Sunway University, Kuala Lumpur 47500, Malaysia.ORCID 0000-0001-6364-6341
Suan Phaik KhooDivision of Clinical Oral Health Sciences, School of Dentistry, IMU University, Kuala Lumpur 57000, Malaysia.

Funding

IMU University BDS I-01-2024(10)
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

convolutional neural networkdeep learningearly detectioninstance segmentationoral potentially malignant disorders

Identifiers

PMID42645436
PMCPMC13510650

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.