CV

Curriculum Vitae of Songsoo Kim, MD, PhD.

Higher degree

  • 2026

    Seoul, Republic of Korea

    PhD
    Yonsei University College of Medicine
    Biomedical Systems Informatics (Supervisor: Dukyong Yoon)
  • 2018

    Daegu, Republic of Korea

    M.D.
    Kyungpook National University, College of Medicine
    Medicine
  • 2014

    Seoul, Republic of Korea

    B.S.
    Yonsei University, College of Life Science and Biotechnology
    Biochemistry

Postgraduate training

  • 2026 -

    Seoul, Republic of Korea

    Postdoctoral Research Fellow
    Department of Radiology, Seoul National University Hospital
    The Advanced Imaging and Computational Neuroimaging (AICON) Laboratory (PI: Kyu Sung Choi)
  • 2023 - 2026

    Seoul, Republic of Korea

    Research Fellow (Physician-Scientist Track)
    Severance Hospital, Yonsei University College of Medicine
  • 2022 - 2022

    Worcester, MA, USA

    Visiting Research Assistant
    Department of Radiology, UMass Chan Medical School / UMass Memorial Medical Center
    • Conducted research on Medical Ultrasound Artificial Intelligence with Prof. Young Kim, MD, PhD.
  • 2019 - 2023

    Seoul, Republic of Korea

    Residency, Diagnostic Radiology
    Gangnam Severance Hospital, Yonsei University College of Medicine
    • Chief resident (2022.07 – 2022.10)
  • 2018 - 2019

    Seoul, Republic of Korea

    Internship
    Yonsei University Health System

Awards

  • Trainee Research Prize (Imaging Informatics category) — Radiological Society of North America (RSNA) (2025)
  • Merit Academic Paper Award (Spring 2025) — Yonsei University Graduate School (2025)
  • Outstanding Research Achievement Scholarship (Fall 2024) — Yonsei University College of Medicine (2024)
  • Outstanding Resident in Research — Gangnam Severance Hospital, Yonsei University College of Medicine (2022)

Grants

  • European Congress of Radiology 2026 Travel Grant — Korean Society of Radiology (KRW 4M / USD 3K), 2026
  • European Congress of Radiology 2025 Travel Grant — Korean Society of Radiology (KRW 4M / USD 3K), 2025
  • Physician-Scientist Training Program — Yonsei University College of Medicine (KRW 75M / USD 58K), 2023 – 2026
  • Full-time PhD Program, MD-PhD/Medical Scientist Training Program — Korea Health Industry Development Institute, Ministry of Health & Welfare (KRW 225M / USD 173K), 2023 – 2026
  • Residency Program, MD-PhD/Medical Scientist Training Program — Korea Health Industry Development Institute, Ministry of Health & Welfare (KRW 20M / USD 15K), 2022 – 2023

Licenses and Certifications

  • Board of Radiology (No. 4615), Ministry of Health & Welfare, Republic of Korea (2023)
  • Medical Doctor License (No. 130233), Ministry of Health & Welfare, Republic of Korea (2018)

Publications

Conference Activities

  • Educational Poster (presenter), AI-Driven Opportunistic Screening for Hidden Clinical Risks: A Practical Research Primer, ECR 2026, Vienna — Top-rated Poster, EPOS™ PULSE Live presentation.
  • Digital presentation (presenter), Opportunistic Screening of Diabetes Using AI-Extracted Whole-body MRI Biomarkers, RSNA 2025, Chicago — Trainee Research Prize.
  • Oral presentation (presenter), AI-Driven MRI Biomarker Extraction and Machine Learning Analysis of Their Association with Diabetes: A UK Biobank Study, ECR 2025, Vienna.
  • Educational Poster, Do not overlook Hirayama disease: Even without a characteristic flexion MRI finding, ECR 2025, Vienna.
  • Oral Presentation (presenter), Leveraging GPT-4 for Error Detection on Brain CT Report: A Comparative Study of Different Report Formats and Error Types, RSNA 2023, Chicago.
  • Oral Presentation (presenter), Few-Shot Prompting for Labeling Free-Text Radiology Report Using GPT-4, RSNA 2023, Chicago.
  • Oral Presentation (presenter), Risk factors for spontaneous hemorrhage in brain metastases in patients with lung adenocarcinoma, AOCR & KCR 2022, Seoul.
  • Oral Presentation (presenter), Impaired meningeal lymphatic drainage in patients with mild cognitive impairment, AOCR & KCR 2022, Seoul.
  • Organizing Committee Member, Young Radiologists Forum, KSSR Spring Symposium 2022, Busan.

Invited Lectures and Seminars

  • Leveraging Large Language Models for Error Detection in Radiology Reports2025 Spring Conference of the Korean Society of Medical and Biological Engineering (KOSOMBE), Clinician-Engineer Session, Jeju (2025.05.08).
  • Medical Data-Specific Quality Management Metrics2024 Symposium of the Institute for Innovation in Digital Healthcare (IIDH), LYDUS Session, Severance Hospital, Seoul (2024.11.20).
  • Applying Large Language Models in Medicine with Python — A Practical GuideLab of Artificial Intelligence in Medicine, Graduate School of Medicine, Ajou University, Suwon (2024.05.13).
  • Bulk Processing and Utilization of Large Language Models via APIs — Hands-On Training2024 Winter School of the Korean Society of Medical Informatics (KOSMI), Seoul (2024.01.17).

Academic Service

  • Peer Reviewer — MICCAI 2026, PLOS Digital Health.

Projects

  • Development of a Multidimensional Quality Evaluation System for Health and Medical Big Data

    Government-funded national R&D project on medical data quality management, led by Yonsei University College of Medicine (PI: Prof. Dukyong Yoon) with Seoul National University Hospital, Samsung Medical Center, and Severance Hospital.

    • Contributed as research associate, focusing on developing metrics, programs, and guidelines for medical data quality management.
    • Presented project outcomes at consortium meetings.

Professional development

  • Emergency Certificate, Radiological Society of North America (RSNA) Imaging AI Certificate Program (2024)
  • Clinical Research Methodology Course (CRMC) – Advanced Program, The Korean Society of Radiology (2023) — Completed a 2-day mentoring workshop on advanced research methodologies, including statistical techniques, and delivered a presentation on a selected topic.
  • Advanced Certificate, Radiological Society of North America (RSNA) Imaging AI Certificate Program (2023)

Patents

  • Yoon, D., Kim, S., Ryu, J., Choi, Y., Han, C. Apparatus and method for evaluating the quality of medical data based on fidelity. Korean Patent Application No. 10-2024-0094441, filed July 17, 2024. Patent pending.
  • Yoon, D., Han, C., Bae, S., Kim, S., Kim, D. Method for providing information on the risk of developing cardiovascular diseases and device using the same. Korean Patent Application No. 10-2024-0091928, filed July 11, 2024. Patent pending.
  • Yoon, D., Han, C., Ryu, J., Choi, Y., Kim, S. Apparatus and method for evaluating the quality of medical data based on reliability. Korean Patent Application No. 10-2024-0089258, filed July 5, 2024. Patent pending.
  • Yoon, D., Choi, Y., Ryu, J., Kim, S., Han, C. Apparatus and method for evaluating the quality of medical data based on data consistency. Korean Patent Application No. 10-2024-0050332, filed April 15, 2024. Patent pending.
  • Yoon, D., Ryu, J., Han, C., Kim, S., Choi, Y. Apparatus and method for evaluating the quality of medical data based on precedence and precedence relationships. Korean Patent Application No. 10-2024-0046975, filed April 5, 2024. Patent pending.