Skip Ribbon Commands
Skip to main content
A- A A+

Find a Doctor

A/Prof Ngiam Kee Yuan

  • Head & Senior Consultant, Division of General Surgery (Endocrine & Thyroid Surgery), Department of Surgery, National University Hospital
  • Senior Consultant, Division of Surgical Oncology, National University Cancer Institute, Singapore
  • Senior Consultant, Division of General Surgery (Endocrine & Thyroid Surgery), Department of Surgery, Alexandra Hospital
  • Associate Professor, Department of Surgery, Yong Loo Lin School of Medicine, National University of Singapore
  • Group Chief Technology Officer, National University Health System
MBBS (London), MRCS (Glas), MMed (Surgery), Fellow of the Royal College of Surgeons (Edin)
Surgery, Surgical Oncology
Chronic Programme (Live Better), Endocrine & Thyroid Surgery, FAST Programme (Get Better), Surgical Oncology (Head & Neck Surgery)
Special Interests:
Robotic and Endoscopic Thyroid Surgery, Non-invasive Thyroid Nodule Ablation, Parathyroid Surgery, Adrenal Surgery


A/Prof Ngiam is a Senior Consultant at the Division of Endocrine & Thyroid Surgery at the National University Hospital, specialising in Endocrine and Thyroid surgical disorders. Following the completion of his Advanced Specialist Training in General Surgery, he was awarded a fellowship from the Royal College of Surgeons of Edinburgh and was accredited as a surgical specialist by the Specialist Accreditation Board, Singapore in 2012.

He received the Higher Manpower Development Program Award in 2012 to complete a Fellowship in Metabolic and Endocrine Surgery in Taiwan. He received further training in robotic thyroid surgery at the Seoul National University Hospital, South Korea.

A/Prof Ngiam's special interests are in endocrine and thyroid surgery, robotic thyroid surgery, advanced endoscopy and laparoscopic surgery. He was awarded the ExxonMobil-NUS Research Fellowship for Clinicians in 2007 and his research interests include robotic and endoscopic thyroid surgery, thyroid cancer, parathyroid surgery, digital health and artificial intelligence.


  • 2021 - Clinician Innovator Development Award, Ministry of Health, Singapore
  • 2021 - Asian Hospital Management Award, Excellence Award (Most Advanced Healthcare Technology category)
  • 2019 - Recognition of Excellence Award - OpenGov Singapore
  • 2018 - National Health IT Excellence Awards (Category E) Champion for Health IT
    Excellence, Ministry of Health, Singapore

Journals & 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. International electronic health record-derived COVID-19 clinical course profiles: the 4CE consortium, GA Brat, GM Weber, N Gehlenborg, P Avillach, NP Palmer, L Chiovato, Npj Digital Medicine 3 (1), 1-9


Back to Top