Dr. Tsung-Lung Yang 楊宗龍




  • National Yang Ming University


  • To help KSVGH to win the best government service award of 2011
  • To help Deep01 to have US FDA clearance of class II AI triage software dedicated for ICH detection

Biography :

Tsung-Lung Yang (楊宗龍) received his Medical Doctor degree from School of Medicine, National Yang-Ming University, Taipei, Taiwan, in 1991 and completed his resident radiologist training at Kaohsiung Veterans General Hospital (KSVGH) in 1997, then after one-year radiologist fellowship, became staff radiologist in 1998, and was promoted as the section chief in Teleradiology since 2007.

He was the architect for building the enterprise-wide PACS (picture archiving and communication system) at KSVGH since 1998 and successfully transformed the traditional client-server PACS into a browser-server medical information platform in 2006 (solution name was dubbed H.E.L.P. representing Healthcare Enhancement and Leverage Platform) using private cloud solution. In 2011, he was the major contributor to help KSVGH to win her best government service award of the year and won the honor of best five IT medical institute of the year in Asia of FutureGov as well. In 2017, he also created a brand new system called AIS, an abbreviation for Application Information System, as a secure bridging service from HIS-PACS-RIS complex to reach patients to reduce medical illiteracy by providing Chinese-based infographic reports via an unique App on mobile devices, called “高榮乳篩” in Chinese and eMiqlat in English. His research interests include breast imaging, abdominal radiology, radiological informatics, radiomics, nursing informatics, electronic medical record, virtual reality for medicine and semantic web solutions for future medical platform services.He was promoted as chief innovation officer to lead an unprecedented unit: KSVGH Originals and Enterprises to connect more people to drive innovation. 

In 2019, He was promoted as the head of department of Quality Improvement to take advantage of V6 of meaningful big data to build a smart environment for P6 in medicine.

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