Professor LUI Ka Luen, Thomas

Prof Thomas Lui

Clinical Associate Professor

  • MB BS (HK), MRCP (UK), FHKCP, FHKAM (Medicine), FRCP (Edin), FRCP (Glasg)
email 9736-0997
Prof Lui graduated in 2004 with distinction in medicine. He finished the specialist training of Gastroenterology and hepatology in 2011. In 2014, he was one of the very few gastroenterologists in Hong Kong, who could be allowed to receive hands-on training on human cases of endoscopic submucosal dissection (ESD), image enhanced endoscopy (IEE) and third space endoscopy under the supervision of Professor Takashi Toyonaga in Japan. Beside advanced endoscopy, his research interests also include the use of artificial intelligence and machine learning in gastroenterology and endoscopy. In 2021, he published the first prospective clinical trial on the use of real-time artificial intelligence targeting missed lesions during colonoscopy in Hong Kong.

Selected Publications
  1. Lui TKL, Dao VH, Tsaom SKK etc. Computer- assisted detection versus conventional colonoscopy for proximal colonic lesions:
    A multi-centre randomized tandem colonoscopy study. Gastrointest Endosc 2023 Feb;97(2):325-334.e1
  2. Lui TKL, Cheung KS, Leung WK. Machine learning models in the prediction of 1-year mortality in patients with advanced hepatocellular cancer on immunotherapy: a proof-of-concept study. Hepato Int 2022 Aug;16(4):879-891.
  3. Leung WK, Cheung KS, Li BLaw Y K,Lui TKL Applications of machine learning models in the prediction of gastric cancer risk in patients after Helicobacter pylori eradication. APT 2021 Apr;53(8):864-872.
  4. Lui TKL, Hui CK, Tsui VW et al. New insights on missed colonic lesions during colonoscopy through artificial intelligence-assisted real-time detection (with video). Gastrointest Endosc 2021 93(1):193-200
  5. Lui TKL, Tsui VWM, Leung WK. Accuracy of artificial intelligence-assisted detection of upper GI lesions: a systematic review and meta-analysis. Gastrointest Endosc 2020; 92: 821-830 e829
  6. Lui TKL, Leung WK. Is artificial intelligence the final answer to missed polyps in colonoscopy? World J Gastroenterol. 2020 Sep 21;26(35):5248-5255..
  7. Lui TKL, Guo CG, Leung WK. Accuracy of artificial intelligence on histology prediction and detection of colorectal polyps: a systematic review and meta-analysis. Gastrointest Endosc 2020; 92: 11-22 e16
  8. Lui TKL, Leung K, Guo CG et al. Impacts of the Coronavirus 2019 Pandemic on Gastrointestinal Endoscopy Volume and Diagnosis of Gastric and Colorectal Cancers: A Population-Based Study. Gastroenterology 2020; 159: 1164-1166 e1163
  9. Lui TKL, Wong KKY, Mak LLY, et al. Feedback from artificial intelligence improved the learning of junior endoscopists on histology prediction of gastric lesions. Endosc Int Open 2020;8:E139-E146.
  10. Lui TKL, Wong KKY, Mak LLY, et al. Endoscopic prediction of deeply submucosal invasive carcinoma with use of artificial intelligence. Endosc Int Open 2019;7:E514-E520.

Research Profile

    1. Artificial Intelligence and machine learning in medicine

    2. Advanced endoscopy