Final Programme 2025

08:30am

Registration

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9:10-9:45

Shandong Wu (University of Pittsburgh)

AI in Medical Imaging: Transforming Technical Innovation into Trustworthy Application

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9:45-10:05

Hao CHEN (HKUST)

Harnessing Large AI Models for Transforming Healthcare

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10:05-10:25

Cheng CHEN (HKU)

Foundation Model Drives Adaptive Medical Image Computing

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10:25-10:45

Liangqiong Qu (HKU)

Distributed Learning of Deep Learning Models for Medical Imaging

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10:45-11:05

Lequan Yu (HKU)

Harnessing Multimodal AI for Intelligent Personalized Diagnosis

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11:05-11:30

COFFEE BREAK

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11:30-11:50

Keith CHIU (QEH)

Using Large Language and Multimodal Models to tackle diagnostic challenges in Radiology

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11:50-12:10

Neeraj MAHBOOBANI (CUHK)

Large Scale Artificial Intelligence Deployment in the Emergency & Radiology Departments in 17 Hospitals in Hong Kong for the Detection, Triage & Management of Patients with Acute Intracranial Haemorrhage

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12:10-12:30

Vince VARDHANABHUTI (HKU)

Quantitative Body Composition Imaging in Leveraging Artificial Intelligence

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12:30-13:00

Feng Hung Kuo (HKU) and Xiaomeng Li (HKUST)

Panel Discussion

13:00-13:50

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LUNCH

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13:50-14:25

Synho Do (Harvard University)

"Lost in Translation: Why Clinical AI Remains Underutilized and How to Fix It."

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14:25-14:45

Dinggang Shen (Shanghai Tech; United Imaging AI)

Integrating AI into the Clinical Workflow: From Image Acquisition to Disease Diagnosis

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14:45-15:05

Li Liang (Southern Medical University, Guangzhou)

Advances and applications of artificial intelligence in pathological diagnosis

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15:05- 15:25

Wu Yuan (CUHK)

AI-Assisted Analysis of Ophthalmic Surgery Video

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15:25-15:50

COFFEE BREAK

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15:50-16:10

Jing CAI (PolyU)

Advances and Challenges of AI and Radiomics in Precision Radiotherapy

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16:10-16:30

Harry Qin (PolyU)

Computer-assisted Minimally Invasive Surgery via Advanced AI and XR Techniques

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16:30-16:50

Wenjian QIN (SIAT, CAS, Shenzhen)

Integration of multi-modality learning by AI in Cancer Analysis

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16:50-17:10

Hoyeon Lee (HKU)​

Minimizing Radiation Exposure with AI-driven Data Synthesis for Breast Imaging
 

17:10-17:30

Nanjie Gong (Tsinghua Cross-strait Research Institute; RaDyn Medical)

Deep Learning based Reconstruction and Enhancement in Medical Imaging

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17:30-18:00

Gary Ren Ge (PolyU)

Panel Discussion

 

18:00

KT Bae

Closing Remarks

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END

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