Evidence map›Paper›PMID 40726605›Full record

ArticleOcular oncology and pathology2025

Deep Learning-Based Detection of Ocular Surface Squamous Neoplasia from Ocular Surface Images.

Obaidur Rehman, Ramkailash Gujar, Ritul Kumawat, Ruby Pandey, Chhavi Gupta, Shweta Tiwari, Virender Sangwan, Sima Das

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Ocular oncology and pathology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
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.

Obaidur RehmanDepartment of Oculoplasty and Ocular Oncology, Dr. Shroff's Charity Eye Hospital, New Delhi, India.
Ramkailash GujarCornea and Eicher-Shroff Centre for Stem Cell Research, Dr. Shroff's Charity Eye Hospital, New Delhi, India.
Ritul KumawatDepartment of Textile and Fibre Engineering, Indian Institute of Technology (IIT), New Delhi, India.
Ruby PandeyDepartment of Oculoplasty and Ocular Oncology, Dr. Shroff's Charity Eye Hospital, New Delhi, India.
Chhavi GuptaDepartment of Oculoplasty and Ocular Oncology, Dr. Shroff's Charity Eye Hospital, New Delhi, India.
Shweta TiwariDepartment of Engineering and Computational Mechanics, Indian Institute of Technology (IIT), New Delhi, India.
Virender SangwanCornea and Eicher-Shroff Centre for Stem Cell Research, Dr. Shroff's Charity Eye Hospital, New Delhi, India.
Sima DasDepartment of Oculoplasty and Ocular Oncology, Dr. Shroff's Charity Eye Hospital, New Delhi, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Ocular surface squamous neoplasia (OSSN) is a broad entity encompassing a spectrum of squamous neoplasms of conjunctiva and cornea. This study aimed to explore the utility of artificial intelligence (AI) models in detecting OSSN from slit-lamp (SL) images. Methods: This is a retrospective observational study. SL images of OSSN disease, non-OSSN ocular surface lesions (OOSD), and normal ocular surfaces ( Results: A total of 163 images in OSSN group, 202 in OOSD group, and 269 normal ocular surface images were included ( Conclusions: AI models showed good performance in image-based OSSN detection. AI models may provide a promising tool for OSSN screening in primary health care centers and for teleconsultation from remote areas in the future.

Indexed as

Artificial intelligenceDeep learningOcular surface squamous neoplasiaSlit-lamp image

Identifiers

PMID40726605
PMCPMC12296212

What OpenQuestion holds

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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.