Correction: Automated classification and explainable AI analysis of lung cancer stages using EfficientNet and gradient-weighted class activation mapping.

Abdulmajeed Alqhatani, T K S Rathish Babu, T R Mahesh, Surbhi Bhatia Khan, Oumaima Saidani, Mohammad Tabrez Quasim

Abstract readPublished Erratum

In one paragraph

Article in Frontiers in medicine, 2025. 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

Erratum for
Automated classification and explainable AI analysis of lung cancer stages using EfficientNet and gradient-weighted class activation mapping.2025

5 · Who and what money

Authors and funding

6 authors.

Abdulmajeed AlqhataniDepartment of Information Systems, College of Computer Science and Information Systems, Najran University, Najran, Saudi Arabia.

T K S Rathish BabuDepartment of Computer Science and Engineering, SRM Institute of Science and Technology, Ramapuram, Chennai, India.

T R MaheshDepartment of Computer Science and Engineering, JAIN (Deemed-to-be University), Bengaluru, India.

Surbhi Bhatia KhanSchool of Science, Engineering and Environment, University of Salford, Salford, United Kingdom.

Oumaima SaidaniDepartment of Information Systems, College of Computer and Information Sciences, Princess Nourah Bint Abdulrahman University, Riyadh, Saudi Arabia.

Mohammad Tabrez QuasimDepartment of Computer Science and Artificial Intelligence, College of Computing and Information Technology, University of Bisha, Bisha, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

[This corrects the article DOI: 10.3389/fmed.2025.1625183.].

Indexed as

CT image classificationdiagnostic imagingEfficientNetexplainable artificial intelligenceGradient-weighted class activation mapping (Grad-CAM)lung cancer staging

Identifiers

PMID41169415

DOI10.3389/fmed.2025.1718206

PMCPMC12570330

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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.