Jung Min Chang

Prof

Seoul National University Hospital

South Korea

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Prof. Jung Min Chang is a faculty member at Seoul National University Hospital in South Korea. His research focuses on artificial intelligence applications in breast cancer detection and screening, evidenced by his recent publications on the use of AI in mammography and clinical outcomes in Asian populations. Prof. Chang's work includes examining the efficacy of digital breast tomosynthesis and addressing challenges in breast cancer screening practices.

Jung Min Chang

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Articles (20)

Breast Cancer Detection with Standalone AI versus Radiologist Interpretation of Unilateral Surveillance Mammography after Mastectomy

Application of a Commercial Artificial Intelligence Software in Unilateral Mammography: Simulating Total Mastectomy Scenarios

Breast Cancer Screening in Asian Countries: Epidemiology, Screening Practices, Outcomes, Challenges, and Future Directions

Clinical Application of Artificial Intelligence in Digital Breast Tomosynthesis

Unenhanced Breast MRI With Diffusion-Weighted Imaging for Breast Cancer Detection: Effects of Training on Performance and Agreement of Subspecialty Radiologists

Screening Outcomes of Mammography with AI in Dense Breasts: A Comparative Study with Supplemental Screening US

Artificial Intelligence for Breast Cancer Detection on Mammography: Factors Related to Cancer Detection

AI-driven Selection of Candidates for Supplemental Breast Cancer Screening

Variability in Breast Density Estimation and Its Impact on Breast Cancer Risk Assessment

Use of imaging prediction model for omission of axillary surgery in early-stage breast cancer patients

Role of Doppler US and elastography prior to biopsy to identify candidates for avoidance of surgery following neoadjuvant chemotherapy for breast cancer

Background Parenchymal Enhancement at Postoperative Surveillance Breast MRI: Association with Future Second Breast Cancer Risk

Benefits and Trade-offs of Breast Cancer Screening Using Contrast-enhanced Mammography

Semiannual Breast US or MRI Screening in Patients with a Personal History of Breast Cancer

Breast Biopsy and Hematoma Associated with Antithrombotic Therapy

Artificial Intelligence Improves Detection of Supplemental Screening Ultrasound-detected Breast Cancers in Mammography

Digital Breast Tomosynthesis Plus Ultrasound Versus Digital Mammography Plus Ultrasound for Screening Breast Cancer in Women With Dense Breasts

Interpretation of Image-Guided Biopsy Results and Assessment

Breast Cancer Detection: Digital Breast Tomosynthesis with Synthesized Mammography versus Digital Mammography

Abbreviated Screening MRI for Women with a History of Breast Cancer: Comparison with Full-Protocol Breast MRI

Collaborators (8)

Hong-Kyu Kim

Nariya Cho

Bong Joo Kang

Han-Byoel Lee

Jung Hyun Yoon

Vivian Park

Woo Kyung Moon

Soo-Yeon Kim

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