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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:

  • Automated classification of intracranial haemorrhage on head CT scans – Prof Chan Ling Ling
  • Cross-Modality Deep Learning Brain Tissue Segmentation – Prof Chan Ling Ling
  • Evaluation of ACR appropriateness of brain MRI orders using textual (Natural Language Processing) input – Prof Chan Ling Ling
  • Decoding global gene expression in liver cancer through deep learning and standard-of-care clinical imaging – Dr Lim Kheng Choon


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. 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. 
  3. 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