Evidence map›Paper›PMID 42652957›Full record

ArticleLife (Basel, Switzerland)2026

Explainable AI for Image-Based Auxiliary Assessment of Radiation Pneumonitis on Post-Treatment CT Images Using GAN Grad-CAM and Ensemble Learning Techniques.

Tsair-Fwu Lee, Guang-Zhi Lin, Wen-Ping Yun, Yi-Lun Liao, Liyun Chang, Chao-Hong Liu, Cheng-Shie Wuu, Yu-Chang Hu, Yu-Wei Lin, Pei-Ju Chao and 1 more

Abstract read
In one paragraph

Article in Life (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

11 authors.

Tsair-Fwu LeeMedical Physics and Informatics Laboratory of Electronic Engineering, National Kaohsiung University of Science and Technology, Kaohsiung 80778, Taiwan.ORCID 0000-0002-3112-3594
Guang-Zhi LinMedical Physics and Informatics Laboratory of Electronic Engineering, National Kaohsiung University of Science and Technology, Kaohsiung 80778, Taiwan.
Wen-Ping YunMedical Physics and Informatics Laboratory of Electronic Engineering, National Kaohsiung University of Science and Technology, Kaohsiung 80778, Taiwan.
Yi-Lun LiaoMedical Physics and Informatics Laboratory of Electronic Engineering, National Kaohsiung University of Science and Technology, Kaohsiung 80778, Taiwan.
Liyun ChangDepartment of Medical Imaging and Radiological Sciences, I-Shou University, Kaohsiung 82445, Taiwan.ORCID 0000-0001-6712-2350
Chao-Hong LiuDepartment of Dermatology, Kaohsiung Yuan's General Hospital, Kaohsiung 80249, Taiwan.ORCID 0000-0003-0887-8558
Cheng-Shie WuuDepartment of Radiation Oncology, Columbia University, New York, NY 10032, USA.
Yu-Chang HuDepartment of Radiation Oncology, Kaohsiung Veterans General Hospital, Kaohsiung 813414, Taiwan.
Yu-Wei LinDepartment of Radiation Oncology, Kaohsiung Veterans General Hospital, Kaohsiung 813414, Taiwan.ORCID 0000-0002-1768-8994
Pei-Ju ChaoMedical Physics and Informatics Laboratory of Electronic Engineering, National Kaohsiung University of Science and Technology, Kaohsiung 80778, Taiwan.
Yang-Wei HsiehMedical Physics and Informatics Laboratory of Electronic Engineering, National Kaohsiung University of Science and Technology, Kaohsiung 80778, Taiwan.ORCID 0000-0002-1374-0775

Funding

National Science and Technology Council 113-2221-E-992-011-MY2, and 114-2637-8-992-002
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

ensemble learningexplainable artificial intelligence (explainable AI)generative adversarial network (GAN)Grad-CAMradiation pneumonitis

Identifiers

PMID42652957
PMCPMC13514787

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.