Ye Ji Lee

専門分野: Obstetrician-gynecologist
10年の経験
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English, Korean
勤務先: 大韓民国, ソウル, Seoul Miz Hospital (서울미즈병원)
イェ・ジ・リー医師は、韓国のソウル・ミズ病院の産婦人科医です。子宮筋腫や卵巣嚢腫に対する低侵襲治療を専門としています。リー医師はソウル大学病院で臨床研修を修了しました。国際的な患者の診療を行っており、生物医学の修士号を取得しています。
- 心電図解析に人工知能を活用し、周産期心筋症の検出を行っています。
- 韓国母体胎児医学会の会員です。
- 「国境なき医師団」のボランティアとして、世界の女性の健康支援に取り組んでいます。
- 婦人科疾患の治療を年間1万件以上行うソウル・ミズ病院に勤務しています。

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資格

Ye Ji Lee is an obstetrics and gynecology specialist at Seoul Miz Hospital. She serves as the Chief Director of Injung Hospital. She earned a Master of Science from Seoul National University. Dr. Lee researches noninvasive medical diagnostics and artificial intelligence in women's health.

Clinical Focus and Expertise

The doctor treats various gynecological and obstetric conditions. She uses surgical and diagnostic methods for patient care.

Specialized Procedures

Hysterectomy with DaVinci robot — a robotic procedure to remove the uterus through small incisions
Laparoscopic surgery for endometriosis and ovarian cysts
Myomectomy to remove uterine fibroids via hysteroscopy
Loop Electrosurgical Excision Procedure (LEEP) for cervical issues
Hysteroscopic polypectomy and septoplasty
Laser surgery for genital warts

Conditions Treated

Uterine fibroids and uterine prolapse
Ovarian cysts and polycystic ovary syndrome (PCOS)
Endometriosis and cervical dysplasia
Vaginismus and vaginal dryness
Fibroadenoma and cervical ectropion

Professional Experience

Chief Director – Injung Hospital
Obstetrics and Gynecology Specialist – Seoul National University Hospital
Physician for International Patients – Raphael Clinic
Residency in Obstetrics and Gynecology – Seoul National University Hospital
Medical Intern – Seoul National University Hospital

Education and Academic Background

Master of Science – Seoul National University, Department of Biomedical Sciences
Degree in Medicine – Seoul National University

Research and Scientific Contributions

Dr. Lee has authored peer-reviewed papers on medical imaging and reproductive health. Her work focuses on precision diagnostics and AI applications. These publications include studies on electrocardiogram analysis and hepatic fibrosis assessment.

"An artificial intelligence electrocardiogram analysis for detecting cardiomyopathy in the peripartum period" – International Journal of Cardiology (2022)
"Analysis of falsely elevated risk of ovarian malignancy algorithm in women with ovarian endometrioma" – Obstetrics & Gynecology Science (2016)
"MR elastography for noninvasive assessment of hepatic fibrosis: reproducibility of the examination" – Journal of Magnetic Resonance Imaging (2014)
"MR elastography for noninvasive assessment of hepatic fibrosis: experience from a tertiary center in Asia" – Journal of Magnetic Resonance Imaging (2011)