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AI Lab

Artificial Intelligence has transformed medical imaging and overall healthcare industry. Our radiologists work hand in hand with partners from SingHealth HSRC, A*STAR IHPC, NTU, NUS on the following AI projects:


Please reach out to the respective Principal Investigators above if you are interested to be part of our exciting projects or for more information.


  1. Zhu L, Chan LL, Ng TK, Yang K, Zhang M, Ooi BC. Semi-Supervised Unpaired Multi-Modal Learning for Label-Efficient Medical Image Segmentation. 24th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2021

  2. Tan JR, Cheong EHT, Chan LP, Tham WP. Implementation of an Artificial Intelligence-Based Double Read System in Capturing Pulmonary Nodule Discrepancy in CT Studies. Current Problems in Diagnostic Radiology. 2020 Jul 27:S0363-0188(20)30140-7

  3. Zhang AY, Lam SSW, Ong MEH, Tang PH, Chan LL. Explainable AI: Classification of MRI Brain Scans for Quality Improvement. BDCAT '19: Proceedings of the 6th IEEE/ACM International Conference on Big Data Computing, Applications and Technologies. Dec 2019;95-102. 

  4. Zhang AY, Lam SSW, Liu N, Pang Y, Chan LL, Tang PH. Development of a Radiology Decision Support System for the Classification of MRI Brain Scans. Proceedings - 5th IEEE/ACM International Conference on Big Data Computing 2019, Applications and Technologies, BDCAT 2018 pp. 107-115