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Yung-Liang Wan, MD, FSCCT Honorary Professor of Radiology College of Medicine, Chang Gung University |
Senior Consultant Radiologist
Department of Medical Imaging and Intervention Linkou Chang Gung Memorial Hospital (CGMH) Chang Gung University (CGU)
Email: ylw0518@cgmh.org.tw
Education
College of Medicine, National Taiwan University (1973–1980)
Postgraduate Training and Certification
Resident, Department of Medical Imaging and Intervention, Linkou Chang Gung Memorial Hospital (July 1980–June 1984) Fellow, Department of Medical Imaging and Intervention, Linkou Chang Gung Memorial Hospital (July 1984–June 1985) Board-Certified Radiologist (Certificate No. 144)
Professional Experience
Department of Medical Imaging and Intervention, Chang Gung Memorial Hospital (1980–present; with more than 45 years of continuous service)
Research Interests
Cardiothoracic Imaging, Body Imaging, Image-Guided Interventions, Ultrasonography
Academic Achievements
1. 402 peer-reviewed publications (77.0% indexed in SCI), with 10,726 citations; H-index:
53; i10-index: 180
2. Editor of one book and contributor to six book chapters
3. Delivered over 80 domestic and 132 international invited lectures
4. Associate Editor, Journal of Thoracic Imaging (2019–2024)
5. Editor-in-Chief, Journal of Radiological Science (since 2019)
6. Editorial Board Member, Cardiovascular Imaging Asia (since 2017)
7. Editorial Board Member, Journal of Medical Ultrasound (since 2005)
8. President and Organizer of 18 international congresses
Professional Activities
1. Chairman, Department of Medical Imaging and Intervention, Linkou CGMH (1993–2011)
2. Director, Department and Graduate Institute of Medical Imaging and Radiological
Sciences, Chang Gung University (1995–2018)
3. Asian Federation for Ultrasound in Medicine and Biology (AFSUMB):
President (2020–2022), President-elect (2018–2020), Secretary (2016–2018), Treasurer
(2014–2016), Councilor (2007–2010)
4. Councilor, World Federation for Ultrasound in Medicine and Biology (WFUMB) (May 2025–May 2027)
5. Co-opted Councilor, WFUMB (Nov 2023–May 2025)
6. Member, WFUMB Education Committee Task Force Group (2025–2027)
7. Member, WFUMB Education Committee (Nov 2023–May 2027)
8. Member, WFUMB COE Task Force Group (2021–2023; 2023–May 2025)
9. Asian Society of Cardiovascular Imaging (ASCI):
President (2019–2021), Vice President (2015–2017), Executive Committee Member (2009–2015; 2024–2027), Founding Member (since 2006)
10. Asian Society of Thoracic Radiology (ASTR):
President (2015–2019), Standing Director (2013–2015), Executive Committee Member (2006–2013), Founding Member (since 2006)
11. President, Taiwan Society of Ultrasound in Medicine (2002–2004)
12. Standing Board Supervisor, Taiwan Radiological Society (2022–2028)
13. Honorary Consultant, Taiwan Radiological Society (2019–2022)
14. Standing Board Director, Taiwan Radiological Society (2013–2019)
15. Founding President, Taiwan Society of Medical Imaging and Radiological Sciences (2013–2016)
Honors and Awards. Recipient of more than 30 honors and awards, including:
1. Global top 2% scientist (career-long), 2020–2024 (Stanford University; PLOS Biology, 2021–2025)
2. Lifetime Achievement Award, Taiwan Radiological Society (April 2026)
3. Gold Medal, AFSUMB (May 10, 2024, Seoul)
4. Global top 2% scientist (annual), 2023–2024 (PLOS Biology, 2024–2025)
5. Honorary Member, Korean Society of Ultrasound in Medicine (May 2023)
6. Best Educator Award, Korean Society of Radiology (2023)
7. Honorary Member, Japan Society of Ultrasonics in Medicine (2022)
8. Lifetime Achievement Award, Taiwan Society of Ultrasound in Medicine (October 2021)
9. Congress Ambassador, Taipei City Government (2019–2023)
10. Outstanding Award, ASCI (March 2019)
11. RSNA–AOSR International Visiting Professor (2019)
12. Twelve Best Paper Awards (as first or corresponding author)
Top 10 Representative Publications (Past 10 Years)
1. Comparative Performance of 3 Artificial Intelligence Systems for Lung Nodule
Characterization in Low-Dose Computed Tomography Screening. J Thorac Imaging.
2026. doi:10.1097/RTI.0000000000000877.
2. Expanding the Lens on Subsolid Nodules: Habitat Imaging for Risk Stratification. AJR Am J Roentgenol. 2025;225(5):e2533805.
3. Obstructive Coronary Artery Disease Improved Prediction by the COME-CCT Pretest Probability Calculator with Cardiac CT. JACC Adv. 2025;4(8):102014.
4. Low-Dose CT Screening Among Never-Smokers With or Without a Family History of Lung Cancer in Taiwan: A Prospective Cohort Study. Lancet Respir Med. 2024;12(2):141–152.
5. Incidental Findings in Lung Cancer Screening. Cancers (Basel). 2024;16(14):2600. doi:10.3390/cancers16142600.
6. The Role of Artificial Intelligence in Coronary Calcium Scoring in Standard Cardiac CT and Chest CT With Different Reconstruction Kernels. J Thorac Imaging. 2024;39(2):111–118.
7. Sybil: A Validated Deep Learning Model to Predict Future Lung Cancer Risk From a Single Low-Dose Chest Computed Tomography. J Clin Oncol. 2023;41(12):2191–2200.
8. CT Assessment of Myocardial Perfusion and Fractional Flow Reserve in Coronary Artery Disease: Current Evidence and Recent Developments. Korean J Radiol. 2021;22(11):1749–1763.
9. The Use of Artificial Intelligence in the Differentiation of Malignant and Benign Lung Nodules on Computed Tomograms Proven by Surgical Pathology. Cancers (Basel). 2020;12(8):2211.
10. Impact of Filter Convolution and Displayed Field of View on Estimation of Coronary Agatston Scores in Low-Dose Lung Computed Tomography. Int J Cardiol.
2017;236:451–457.
Grant Funding Summary
Dr. Wan has an extensive track record of sustained research funding spanning over three
decades (1994–present), with continuous support from major national agencies including the National Science and Technology Council (NSTC, formerly MOST) and the Ministry of
Health and Welfare (MOHW), Taiwan, as well as institutional research programs.
His research funding portfolio demonstrates strong leadership as Principal Investigator (PI) and Co-Principal Investigator (Co-PI) in multidisciplinary projects focusing on
cardiovascular imaging, lung cancer screening, and artificial intelligence in medical imaging.