# Artificial intelligence–powered programmed death ligand 1 analyser reduces interobserver variation in tumour proportion score for non–small cell lung cancer with better prediction of immunotherapy response

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/artificial-intelligence-powered-programmed-death-ligand-1-analyser-reduces/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Sangjoon Choi,Soo Ick Cho,Minuk Ma,Seonwook Park,Sérgio Pereira,Brian Jaehong Aum,Seunghwan Shin,Kyunghyun Paeng,Donggeun Yoo,Wonkyung Jung,Chan‐Young Ock,Se‐Hoon Lee,Yoon‐La Choi,Jin‐Haeng Chung,Tony Mok,Hyojin Kim,Seokhwi Kim |
| Citations | 61 |
| DOI | 10.1016/j.ejca.2022.04.011 |
| Fields | Computer Science,Medicine |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4280514005 |
| PMID | 35576849 |
| Type | article |
| Year | 2022 |

## Paper authors

- [Chan‐Young Ock](https://scholariq.org/researchers/chan-young-ock/)

## Paper journal

- [European Journal of Cancer](https://scholariq.org/journals/european-journal-of-cancer/)

## Paper primary topic

- [Cancer Immunotherapy and Biomarkers](https://scholariq.org/topics/cancer-immunotherapy-and-biomarkers/)

## Paper topics

- [Cancer Immunotherapy and Biomarkers](https://scholariq.org/topics/cancer-immunotherapy-and-biomarkers/)
- [AI in cancer detection](https://scholariq.org/topics/ai-in-cancer-detection/)
- [Radiomics and Machine Learning in Medical Imaging](https://scholariq.org/topics/radiomics-and-machine-learning-in-medical-imaging/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.