Welcome to Smart Lab!

Smart Lab, led by Prof. Hao Chen, is committed to pushing the boundaries of trustworthy AI technologies for healthcare and science. Our research directions include large-scale models for healthcare, computer-assisted intervention, AI for science, and bioinformatics, etc. Our ultimate goal is to spearhead a transformative revolution in medical practices and scientific discoveries, paving the way for a brighter and healthier future.

Recent News

[EClinicalMedicine] Multi-task Deep Learning System Enhances Integrated Non-invasive MRI Diagnosis of Nine Knee Abnormalities

A collaborative team has developed the world’s first multi-task deep learning system capable of diagnosing nine common knee abnormalities on MRI, improving both accuracy and efficiency in clinical workflows.

Last updated on 2025/09/29

[Nature Communications] A Multimodal Knowledge-Enhanced Whole-Slide Pathology Foundation Model: A New Pathology Pretraining Paradigm

See our latest work on pathology foundation model mSTAR, which leverages multimodal knowledge to enhance these models while achieving whole-slide-level pretraining.

Last updated on 2025/09/20

[Call for Participants] CSIG Youth Scientist Conference 2025 Forum

Join us at the CSIG Youth Scientist Conference 2025 Forum to explore the latest advancements in biomedical image analysis!

Last updated on 2025/09/10

[Call for Participants] 8th International Symposium on Image Computing and Digital Medicine

Join us at the 8th International Symposium on Image Computing and Digital Medicine Sub-Forum to explore the latest advancements in intelligent digital pathology and its applications in precision medicine!

Last updated on 2025/09/07

[Nature Biomedical Engineering] A generalizable pathology foundation model using a unified knowledge distillation pretraining framework

HKUST Smart Lab is proud to announce the publication of our latest work, a generalizable pathology foundation model (GPFM) that is now published in Nature Biomedical Engineering.

Last updated on 2025/09/02

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We want you!

We are always looking for self-motivated and determined talents. Open positions are available at our Recruitment page.


Last Update: Oct 07, 2025