Dr Leibo Liu

Dr Leibo Liu

Research Fellow
Medicine & Health
Centre for Big Data Research in Health

I earned my PhD at the Centre for Big Data Research in Health (CBDRH), University of New South Wales (UNSW), Australia. I am currently a Research Fellow at CBDRH, UNSW Sydney, and a Senior Data Scientist at The George Institute for Global Health (TGI).

My research focuses on developing and applying natural language processing (NLP) and deep learning methods to extract clinically meaningful information from unstructured health data, particularly clinical notes and medical imaging. My interests include information extraction and de-identification of free-text data from electronic medical records (EMRs), transformer-based approaches for clinical coding, and multimodal learning with large language models (LLMs) to support stroke care by integrating clinical text with imaging and other patient data.

I currently contribute to the Next-generation Clinical Registry project at CBDRH and lead multimodal large model development for the stroke AI project at TGI. My work draws on expertise in machine learning and software engineering, alongside experience in big-data analytics and data management, to advance scalable methods for health data science.

Location
Level 5, HTH Building C29 55 Botany Street RANDWICK NSW 2031 AUSTRALIA
  • Book Chapters | 2024
    Bi B; Liu L; Perez-Concha O, 2024, 'Adapting Large Language Models for Automated Summarisation of Electronic Medical Records in Clinical Coding', in , pp. 24 - 29, http://dx.doi.org/10.3233/SHTI240886
  • Journal articles | 2026
    Liu L; Blake V; Barman M; Gallego B; Churches T; Kennedy G; Ooi SY; Delaney GP; Jorm L, 2026, 'Using natural language processing to extract information from clinical text in electronic medical records for populating clinical registries: a systematic review', Journal of the American Medical Informatics Association, 33, pp. 484 - 499, http://dx.doi.org/10.1093/jamia/ocaf176
    Journal articles | 2025
    Liu F; Ren X; Chen C; Ouyang M; Li Q; Wang X; Zhang G; Zhang L; Liu L; You S; Lindley RI; Robinson T; Sui Y; Li G; Anderson C; Song L, 2025, 'Early blood pressure lowering and cerebral oedema in thrombolysis-treated stroke: secondary analysis of the ENCHANTED trial', Stroke and Vascular Neurology, http://dx.doi.org/10.1136/svn-2025-004463
    Journal articles | 2025
    Wang X; Ren X; Li Q; Ouyang M; Chen C; Delcourt C; Chen X; Wang J; Robinson T; Arima H; Ma L; Hu X; You C; Li G; Jie Y; Lin Y; Billot L; Muñoz-Venturelli P; Martins S; Pontes-Neto OM; Liu L; Chalmers J; Carcel C; Song L; Anderson CS, 2025, 'Effects of blood pressure lowering in relation to time in acute intracerebral haemorrhage: a pooled analysis of the four INTERACT trials', Lancet Neurology, 24, pp. 571 - 579, http://dx.doi.org/10.1016/S1474-4422(25)00160-7
    Journal articles | 2025
    Zhang G; Chen C; Ren X; Zhao Y; Ouyang M; Billot L; Li Q; Wang X; Zhang L; Ong S; Liu L; You S; Lindley RI; Robinson TG; Li G; Chen X; Sui Y; Anderson CS; Song L; Krause M; Priglinger M; Day S; Jala S; Davies L; Delcourt C; Carcel C; Malavera A; Ray E; Anderson CS; Wijeratne T; Celestino S; Law LY; Ng G; Nagao K; Weiss G; Titton N; Batista C; Zãn D; Carbonera L; Ferreira K; Castro R; Martins Filho RK; Carvalho M; Libardi M; Martins G; Fagundes D; Baron G; Boehringer A; Barbosa J; Bazan R; Braga G; Luvizutto G; Ribeiro P; Winckler F; Moro C; Longo A; Liberato R; Barbosa R; Magalhães P; Portal M; Martin K; Souza A; Cuervo D; Perin D; Marques L; Oliveira F; Battaglini M; Lourenço F; Ferreira K; Silva G; Duarte L; Alves M; Sousa J; Uhehara M; Brunser A; Mazzón E; Spencer M; Acosta I; Rojo A; Rivas R; Klapp C; Carvallo L; Carvallo P; Mansilla E; Flores J; Alvarado M; Herrera A; Reyes C; Jurado F; Bustamante G; Bravo L; Matamala JM; Guerrero R; Chen G; Zhou S; Ping L; Liu W; Liu L; Tian Y; Xu H, 2025, 'Effects of Intensive Blood Pressure Lowering on Brain Swelling in Thrombolyzed Acute Ischemic Stroke: The ENCHANTED Results', Stroke, 56, pp. 1388 - 1395, http://dx.doi.org/10.1161/STROKEAHA.124.049938
    Journal articles | 2024
    Wang Y; Maeda T; You S; Chen C; Liu L; Zhou Z; Robinson TG; Lindley RI; Delcourt C; Mair G; Wardlaw JM; Chalmers JP; Arima H; Huang Y; Kim JS; Lavados PM; Lee TH; Levi C; Parsons MW; Martins SC; Pandian JD; Pontes-Neto OM; Sharma VK; Nguyen TH; Wang J; Wu S; Liu M; Anderson CS; Chen X; Billot L, 2024, 'Patterns and Clinical Implications of Hemorrhagic Transformation After Thrombolysis in Acute Ischemic Stroke: Results From the ENCHANTED Study', Neurology, 103, pp. e210020, http://dx.doi.org/10.1212/WNL.0000000000210020
    Journal articles | 2023
    Chen C; Ouyang M; Ong S; Zhang L; Zhang G; Delcourt C; Mair G; Liu L; Billot L; Li Q; Chen X; Parsons M; Broderick JP; Demchuk AM; Bath PM; Donnan GA; Levi C; Chalmers J; Lindley RI; Martins SO; Pontes-Neto OM; Venturelli PM; Olavarría V; Lavados P; Robinson TG; Wardlaw JM; Li G; Wang X; Song L; Anderson CS; Munoz Venturelli P, 2023, 'Effects of intensive blood pressure lowering on cerebral ischaemia in thrombolysed patients: insights from the ENCHANTED trial', Eclinicalmedicine, 57, pp. 101849, http://dx.doi.org/10.1016/j.eclinm.2023.101849
    Journal articles | 2023
    Liu L; Perez-Concha O; Nguyen A; Bennett V; Blake V; Gallego B; Jorm L, 2023, 'Web-Based Application Based on Human-in-the-Loop Deep Learning for Deidentifying Free-Text Data in Electronic Medical Records: Development and Usability Study', INTERACTIVE JOURNAL OF MEDICAL RESEARCH, 12, http://dx.doi.org/10.2196/46322
    Journal articles | 2023
    Liu L; Perez-Concha O; Nguyen A; Bennett V; Jorm L, 2023, 'Automated ICD coding using extreme multi-label long text transformer-based models', Artificial Intelligence in Medicine, 144, http://dx.doi.org/10.1016/j.artmed.2023.102662
    Journal articles | 2023
    Ma L; Hu X; Song L; Chen X; Ouyang M; Billot L; Li Q; Malavera A; Li X; Muñoz-Venturelli P; de Silva A; Thang NH; Wahab KW; Pandian JD; Wasay M; Pontes-Neto OM; Abanto C; Arauz A; Shi H; Tang G; Zhu S; She X; Liu L; Sakamoto Y; You S; Han Q; Crutzen B; Cheung E; Li Y; Wang X; Chen C; Liu F; Zhao Y; Li H; Liu Y; Jiang Y; Chen L; Wu B; Liu M; Xu J; You C; Anderson CS; Robinson T; Miranda JJ; Parry-Jones A; Sprigg N; Durrans S; Harris C; Bamford A; Smith O; Herbert R; Chen C; Whiteley W; Hu R; Mysore J; Zhang Y; Jan S; Liu H; Sun L; Chu H; Anjum A; Gonzalez Mc Cawley F; Del Rio A; Rimoli B; Cerantola R; Jeevarajah T; Kannangara M; Joseph A; Nanayakkara C; Zhang C; Yang Z; Li B; Meng Z; Ning Y; Dong L; Armenis M; Lim J; Monaghan H; Luo R; Cheng G; Dong Y; Liu Z; Wang S; Zhang Y; Cheng J; Shi H; Li W; Mou L; Yi P; Chen X; Weerawardena S; Ellawala P; Ranasinghe E; Rodrigo C; Adeniyi S; Khanna M; González F; Urrutia Goldsack F; Begum D, 2023, 'The third Intensive Care Bundle with Blood Pressure Reduction in Acute Cerebral Haemorrhage Trial (INTERACT3): an international, stepped wedge cluster randomised controlled trial', Lancet, 402, pp. 27 - 40, http://dx.doi.org/10.1016/S0140-6736(23)00806-1
    Journal articles | 2022
    Liu L; Perez-Concha O; Nguyen A; Bennett V; Jorm L, 2022, 'De-identifying Australian hospital discharge summaries: An end-to-end framework using ensemble of deep learning models', Journal of Biomedical Informatics, 135, http://dx.doi.org/10.1016/j.jbi.2022.104215
    Journal articles | 2022
    Liu L; Perez-Concha O; Nguyen A; Bennett V; Jorm L, 2022, 'Hierarchical label-wise attention transformer model for explainable ICD coding', Journal of Biomedical Informatics, 133, http://dx.doi.org/10.1016/j.jbi.2022.104161
    Journal articles | 2021
    Liu L; Perez-Concha O; Nguyen A; Bennett V; Jorm L, 2021, 'De-identifying Australian Hospital Discharge Summaries: An End-to-End Framework using Ensemble of Deep Learning Models', Journal of Biomedical Informatics, 135, pp. 104215, http://dx.doi.org/10.1016/j.jbi.2022.104215
    Journal articles | 2019
    Anderson CS; Huang Y; Lindley RI; Chen X; Arima H; Chen G; Li Q; Billot L; Delcourt C; Bath PM; Broderick JP; Demchuk AM; Donnan GA; Durham AC; Lavados PM; Martins SO; Olavarria VV; Levi C; Parsons MW; Pontes-Neto OM; Ricci S; Sato S; Sharma VK; Silva F; Song L; Thang NH; Wardlaw JM; Wang JG; Wang X; Woodward M; Chalmers J; Robinson TG; Kim JS; Stapf C; Simes RJ; Hankey GJ; Sandercock P; Bousser MG; Wong KSL; Scaria A; Hirakawa Y; Moullaali TJ; Carcel C; Gordon P; Fuentes-Patarroyo SX; Benito D; Chen R; Cao Y; Kunchok A; Winters S; Coutts S; Yoshimura S; You S; Yang J; Wu G; Zhang S; Manning L; Mistri A; Haunton V; Minhas J; Malavera A; Lim J; Liu L; Kumar NN; Tay N; Jenson K; Richtering S; Tucker S; Knight E; Ivanova E; Thembani E; Odgers E; Sanders E; Small S; Vaghasiya R; Armenis M; Donnelly P; Baig MA; Blacklock N; Naidu B; Monaghan H; Smith P; Glass P; Bai X; Li Q; Zhu P; Kong L; He R; Zhao H; Lv J; Jia H; Xi Z; Cong Y; Cui B; Deng H; Guo Y; He L, 2019, 'Intensive blood pressure reduction with intravenous thrombolysis therapy for acute ischaemic stroke (ENCHANTED): an international, randomised, open-label, blinded-endpoint, phase 3 trial', Lancet, 393, pp. 877 - 888, http://dx.doi.org/10.1016/S0140-6736(19)30038-8
  • Conference Papers | 2025
    Zhou Z; Ge Y; Yoshimura S; Torii-Yoshimura T; Sakamoto Y; Liu X; Carcel C; Chen X; Liu L; Parsons M; Mair G; Lindley RI; Wardlaw J; Anderson CS; Delcourt C, 2025, 'Intravenous thrombolysis in patients with acute ischemic stroke and cerebral microbleeds: Results from the ENCHANTED trial', in International Journal of Stroke, http://dx.doi.org/10.1177/17474930251392751
    Preprints | 2023
    Chen C; Ouyang M; Ong S; Zhang L; Zhang G; Delcourt C; Mair G; Liu L; Billot L; Li Q; Chen X; Parsons M; Broderick J; Demchuk A; Bath P; Donnan G; Levi C; Chalmers J; Lindley R; Martins S; Pontes-Neto O; Venturelli PM; Olavarría V; Lavados P; Robinson T; Wardlaw J; Li G; Wang X; Song L; Anderson C; Investigators ENCHANTED, 2023, Effects of Intensive Blood Pressure Lowering on Cerebral Ischaemia in Thrombolysed Patients: Insights from the Enchanted Trial, http://dx.doi.org/10.2139/ssrn.4314023
    Preprints | 2023
    Liu L; Perez-Concha O; Nguyen A; Bennett V; Blake V; Gallego B; Jorm L, 2023, Web-Based Application Based on Human-in-the-Loop Deep Learning for Deidentifying Free-Text Data in Electronic Medical Records: Development and Usability Study (Preprint), http://dx.doi.org/10.2196/preprints.46322
    Preprints | 2023
    Ma L; Hu X; Song L; Chen X; Ouyang M; Billot L; Li Q; Malavera A; Li X; Venturelli PM; de Silva A; Thang NH; Wahab K; Pandian J; Wasay M; Pontes-Neto OM; Abanto C; Arauz A; Shi H; Tang G; Zhu S; She X; Liu L; Sakamoto Y; You S; Han Q; Crutzen B; Cheung E; Li Y; Wang X; Chen C; Liu F; Zhao Y; Wu B; Lu M; Li H; Liu Y; Jiang Y; Xu J; You C; Anderson CS, 2023, The Third INTEnsive Care Bundle with Blood Pressure Reduction in Acute Cerebral Haemorrhage Trial (INTERACT3): An International Stepped-Wedge Cluster-Randomised Controlled Trial, http://dx.doi.org/10.2139/ssrn.4374056
    Preprints | 2022
    Liu L; Perez-Concha O; Nguyen A; Bennett V; Jorm L, 2022, Automated ICD Coding using Extreme Multi-label Long Text Transformer-based Models, http://dx.doi.org/10.1016/j.artmed.2023.102662
    Preprints | 2022
    Liu L; Perez-Concha O; Nguyen A; Bennett V; Jorm L, 2022, Hierarchical Label-wise Attention Transformer Model for Explainable ICD Coding, http://dx.doi.org/10.1016/j.jbi.2022.104161
    Preprints | 2021
    Liu L; Perez-Concha O; Nguyen A; Bennett V; Jorm L, 2021, De-identifying Australian Hospital Discharge Summaries: An End-to-End Framework using Ensemble of Deep Learning Models, http://dx.doi.org/10.1016/j.jbi.2022.104215
    Conference Abstracts | 2019
    Yang J; Song L; Li G; Chen X; Chen C; Liu F; Lin Y; Guo Y; Sun L; Arima H; Anderson CS, 2019, 'Intensive Ambulance-delivered Blood Pressure Reduction In Hyper-acute Stroke Trial', in CEREBROVASCULAR DISEASES, KARGER, Manila, Philippines, Vol. 48, pp. 111 - 111, presented at APSC 2019, Manila, Philippines, 02 October 2019
    Conference Papers | 2017
    Ge X; Wang X; Anderson C; Chen X; Liu L; Li Q, 2017, 'Impact of Disparities in Acute Stroke Care Between High and Middle Income Countries', in CEREBROVASCULAR DISEASES, KARGER, pp. 2 - 3, https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000415238400006&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=891bb5ab6ba270e68a29b250adbe88d1