Kim KH - Search Results

1

Artificial Intelligence in Breast Cancer Diagnosis and Personalized Medicine.

Ahn JS, Shin S, Yang SA, Park EK, Kim KH, Cho SI, Ock CY, Kim S. Ahn JS, et al. Among authors: kim s, kim kh. J Breast Cancer. 2023 Oct;26(5):405-435. doi: 10.4048/jbc.2023.26.e45. J Breast Cancer. 2023. PMID: 37926067 Free PMC article. Review.

2

Artificial Intelligence for Breast Cancer Screening in Mammography (AI-STREAM): A Prospective Multicenter Study Design in Korea Using AI-Based CADe/x.

Chang YW, An JK, Choi N, Ko KH, Kim KH, Han K, Ryu JK. Chang YW, et al. Among authors: kim kh. J Breast Cancer. 2022 Feb;25(1):57-68. doi: 10.4048/jbc.2022.25.e4. Epub 2022 Jan 6. J Breast Cancer. 2022. PMID: 35133093 Free PMC article.

3

Improving the Performance of Radiologists Using Artificial Intelligence-Based Detection Support Software for Mammography: A Multi-Reader Study.

Lee JH, Kim KH, Lee EH, Ahn JS, Ryu JK, Park YM, Shin GW, Kim YJ, Choi HY. Lee JH, et al. Among authors: kim yj, kim kh. Korean J Radiol. 2022 May;23(5):505-516. doi: 10.3348/kjr.2021.0476. Epub 2022 Apr 4. Korean J Radiol. 2022. PMID: 35434976 Free PMC article.

4

Corrigendum: Artificial Intelligence for Breast Cancer Screening in Mammography (AI-STREAM): A Prospective Multicenter Study Design in Korea Using AI-Based CADe/x.

Chang YW, An JK, Choi N, Ko KH, Kim KH, Han K, Ryu JK. Chang YW, et al. Among authors: kim kh. J Breast Cancer. 2022 Apr;25(2):147. doi: 10.4048/jbc.2022.25.e16. J Breast Cancer. 2022. PMID: 35506581 Free PMC article.

5

Screening mammography performance according to breast density: a comparison between radiologists versus standalone intelligence detection.

Kwon MR, Chang Y, Ham SY, Cho Y, Kim EY, Kang J, Park EK, Kim KH, Kim M, Kim TS, Lee H, Kwon R, Lim GY, Choi HR, Choi J, Kook SH, Ryu S. Kwon MR, et al. Among authors: kim ts, kim ey, kim m, kim kh. Breast Cancer Res. 2024 Apr 22;26(1):68. doi: 10.1186/s13058-024-01821-w. Breast Cancer Res. 2024. PMID: 38649889 Free PMC article.

6

Artificial Intelligence-Powered Imaging Biomarker Based on Mammography for Breast Cancer Risk Prediction.

Park EK, Lee H, Kim M, Kim T, Kim J, Kim KH, Kooi T, Chang Y, Ryu S. Park EK, et al. Among authors: kim t, kim m, kim j, kim kh. Diagnostics (Basel). 2024 Jun 7;14(12):1212. doi: 10.3390/diagnostics14121212. Diagnostics (Basel). 2024. PMID: 38928628 Free PMC article.

7

Concordant and discordant breast density patterns by different approaches for assessing breast density and breast cancer risk.

Cho Y, Park EK, Chang Y, Kwon MR, Kim EY, Kim M, Park B, Lee S, Jeong HE, Kim KH, Kim TS, Lee H, Kwon R, Lim GY, Choi J, Kook SH, Ryu S. Cho Y, et al. Among authors: kim ts, kim ey, kim m, kim kh. Breast Cancer Res Treat. 2024 Nov 1. doi: 10.1007/s10549-024-07541-1. Online ahead of print. Breast Cancer Res Treat. 2024. PMID: 39482557

8

Changes in cancer detection and false-positive recall in mammography using artificial intelligence: a retrospective, multireader study.

Kim HE, Kim HH, Han BK, Kim KH, Han K, Nam H, Lee EH, Kim EK. Kim HE, et al. Among authors: kim hh, kim ek, kim kh. Lancet Digit Health. 2020 Mar;2(3):e138-e148. doi: 10.1016/S2589-7500(20)30003-0. Epub 2020 Feb 6. Lancet Digit Health. 2020. PMID: 33334578 Free article.

9

Use of a commercial artificial intelligence-based mammography analysis software for improving breast ultrasound interpretations.

Kim HJ, Kim HH, Kim KH, Lee JS, Choi WJ, Chae EY, Shin HJ, Cha JH, Shim WH. Kim HJ, et al. Among authors: kim hh, kim kh. Eur Radiol. 2024 Oct;34(10):6320-6331. doi: 10.1007/s00330-024-10718-3. Epub 2024 Apr 3. Eur Radiol. 2024. PMID: 38570382

10

Mammographically occult breast cancers detected with AI-based diagnosis supporting software: clinical and histopathologic characteristics.

Kim HJ, Kim HH, Kim KH, Choi WJ, Chae EY, Shin HJ, Cha JH, Shim WH. Kim HJ, et al. Among authors: kim hh, kim kh. Insights Imaging. 2022 Mar 26;13(1):57. doi: 10.1186/s13244-022-01183-x. Insights Imaging. 2022. PMID: 35347508 Free PMC article.

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