# Artificial Intelligence in Breast Cancer Diagnosis and Personalized Medicine

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/artificial-intelligence-in-breast-cancer-diagnosis-and-personalized-medicine/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Jong Seok Ahn,Sangwon Shin,Su‐A Yang,Eun Kyung Park,Ki Hwan Kim,Soo Ick Cho,Chan‐Young Ock,Seokhwi Kim |
| Citations | 203 |
| DOI | 10.4048/jbc.2023.26.e45 |
| Fields | Computer Science,Medicine |
| Open Access | true |
| OA Status | gold |
| OA URL | http://ejbc.kr/Synapse/Data/PDFData/0096JBC/jbc-26-405.pdf |
| OpenAlex ID | https://openalex.org/W4387856013 |
| PMID | 37926067 |
| Type | article |
| Year | 2023 |

## Paper authors

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

## Paper primary topic

- [AI in cancer detection](https://scholariq.org/topics/ai-in-cancer-detection/)

## Paper topics

- [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/)
- [Digital Radiography and Breast Imaging](https://scholariq.org/topics/digital-radiography-and-breast-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.