Kee Yuan Ngiam

Ngiam Kee Yuan

Appointment(s)
  • Assistant Professor, Department of Surgery
  • Senior Consultant, Department of Surgery
  • Adjunct Assistant Professor, Saw Swee Hock School of Public Health
Administrative Appointment(s)
  • Group Chief Technology Officer, NUHS Corporate Office
  • Chief Advisor, Center for Healthcare Innovation, Alexandra Integrated Hospital
  • Deputy Chief Medical Informatics Officer, National University Hospital
  • Mission Chief, SOUL Outreach, Department of Surgery, National University Hospital Singapore
Joint Appointment(s)
  • Associate Editor, ACM Transactions in Datascience
  • Associate Editor, Frontiers in Digital Health
  • Health Evaluation Panel Member, DxD Hub, ETPL
Academic Qualifications
  • FRCS, Royal College of Physicians and Surgeons of Edinburgh, United Kingdom
  • MRCS, Royal College of Surgeons of Glasgow, United Kingdom
  • MMed, National University of Singapore, Singapore
  • MBBS, Royal Free and University College Medical School (RFUCMS) London, United Kingdom
Research Interest(s)
  • Thyroid and Endocrine Surgery
  • Artificial intelligence applications in healthcare and technology
Recent Publications
  • 1. Ngiam KY, Khor IW. Big Data and Machine-Learning Algorithms for Healthcare Delivery. Lancet Oncol. 2019; 20:e262-e273. [IF 36.418]
  • 2. Ngiam KY. Braving the New World of Artificial Intelligence, Nature Med. 2019;25:13. [IF 32.6]
  • 3. Steward DL, Carty SE, Sippel RS, Yang SP, Sosa JA, Sipos JA, Figge JJ, Mandel S, Haugen BR, Burman KD, Balock ZW, Lloyd RV, Seethala RR, Gooding WE, Chiosea SI, Gomes-Lima C, Ferris RL, Folek JM, Khawaja RA, Kundra P, Loh KS, Marshall CB, Mayson S, McCoy KL, Nga ME, Ngiam KY, Nikiforova MN, Poehls JL, Ringel MD, Yang H, Yip L, Nikiforov YE. Performance of a multigene genomic classifier in thyroid nodules with indeterminate cytology: A prospective blinded multicenter study. JAMA Oncol. 2019;5:204-212. [IF 20.871]
  • 4. Lim JXY, Nga ME, Chan DKH, Tan WB, Parameswaran R, Ngiam KY. Subclassification of Bethesda atypical and follicular neoplasm categories according to nuclear and architectural atypia improves discrimination of thyroid malignancy risk. Thyroid. 2018 Apr;28:511-521. [IF 7.557]
  • 5. Luo Z, Cai S, Gao J, Zhang M, Ngiam KY, Chen G, Lee W. Adaptive Lightweight Regularization Tool for Complex Analytics. IEEE International Conference on Data Engineering (ICDE), 2018. [2nd Prize Award (2/440)]