Luyang Luo’s research is situated at the confluence of artificial intelligence (AI) and healthcare, including: 1. Trustworthy AI: Crafting robust AI systems to address critical challenges such as debiasing, ensuring transparency, and enhancing generalizability across various scenarios. 2. Foundation Models for Multimodal Biomedical Data Analytics: Adapting and developing foundational AI models to integrate and analyze diverse biomedical data. 3. AI in Precision Medicine: Leveraging AI technologies to advance the field of precision medicine, aiming for more personalized and effective healthcare solutions.
Weakly supervised 3D deep learning for breast cancer classification and localization of the lesions in MR images.
Authors: Zhou J, Luo LY, Dou Q, Chen H, Chen C, Li GJ, Jiang ZF, Heng PA.
J Magn Reson Imaging
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J Magn Reson Imaging
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Detection of glaucomatous optic neuropathy with spectral-domain optical coherence tomography: a retrospective training and validation deep-learning analysis.
Authors: Ran AR, Cheung CY, Wang X, Chen H, Luo LY, Chan PP, Wong MOM, Chang RT, Mannil SS, Young AL, Yung HW, Pang CP, Heng PA, Tham CC.
Lancet Digit Health
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Lancet Digit Health
View full abstract on Pubmed