# Abstract 4659: AI-powered assessment of morphologic likeness to small cell lung cancer (SCLC) predicts progression to SCLC and TKI response in EGFR-mutant NSCLC

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/abstract-4659-ai-powered-assessment-of-morphologic-likeness-to-small-cell-lung/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Soohyun Hwang,Hyukjung Kim,Yeong Hak Bang,Jun-Gi Jeong,Chang Ho Ahn,Seung‐Eun Lee,Sanghoon Song,Aaron Valero Puche,JaeWoong Shin,Sehhoon Park,Hyun Ae Jung,Jong‐Mu Sun,Yoon‐La Choi,Jin Seok Ahn,Myung-Ju Ahn,Siraj Ali,Chan‐Young Ock,Se‐Hoon Lee |
| Citations | 0 |
| DOI | 10.1158/1538-7445.am2025-4659 |
| Fields | Medicine |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4409632518 |
| Type | conference-abstract |
| Year | 2025 |

## Paper authors

- [Chan‐Young Ock](https://scholariq.org/researchers/chan-young-ock/)
- [Yoon‐La Choi](https://scholariq.org/researchers/yoon-la-choi/)
- [Jong‐Mu Sun](https://scholariq.org/researchers/jong-mu-sun/)
- [Jin Seok Ahn](https://scholariq.org/researchers/jin-seok-ahn-2/)
- [Se‐Hoon Lee](https://scholariq.org/researchers/se-hoon-lee/)

## Paper journal

- [Cancer Research](https://scholariq.org/journals/cancer-research/)

## Paper primary topic

- [Radiomics and Machine Learning in Medical Imaging](https://scholariq.org/topics/radiomics-and-machine-learning-in-medical-imaging/)

## Paper topics

- [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.