Asia Pacific Imaging Summit

Don’t miss out on the groundbreaking Asia Pacific Imaging Summit, happening on August 5-6, 2025, in Singapore!

This premier event brings together a dynamic exhibition and two cutting-edge conferences – the 9th Digital Pathology and AI Congress: Asia and the Radiology Congress: Asia. It’s a great opportunity for scientists and professionals to leverage the synergy of medical imaging and advanced digital technologies.

9th Digital Pathology and AI Congress: Asia

The 9th Digital Pathology and AI Congress: Asia will delve into the transformative impact of digital pathology and AI on laboratory medicine. Sessions will cover digital workflow optimisation, AI-based diagnostics, and integrating pathology with imaging. Experts will present case studies that highlight successful implementations of AI in pathology and discuss the future of telepathology.

Radiology Congress: Asia

The Radiology Congress: Asia will focus on the latest advancements in medical imaging technologies, ranging from cutting-edge imaging modalities, innovations in diagnostic imaging, to the integration of artificial intelligence in radiology.

Simultaneously, the congress will showcase key themes including AI in imaging diagnostics, emerging imaging technologies, and patient-centric imaging solutions. Attendees can anticipate in-depth discussions on topics such as the role of machine learning in image analysis, the future of 3D imaging, and the ethical considerations surrounding AI in healthcare.

This event is designed for a diverse audience, including pathologists, radiologists, bioinformaticians, clinicians, technologists, technicians, researchers, key decision makers and industry leaders, as well as AI and machine learning experts from across the globe to explore the latest advancements, share insights, and foster collaborations.

Networking opportunities abound, allowing participants to connect with peers, exchange ideas, and explore potential partnerships!

Program agenda is still under development.

If you would like to receive the agenda when it is ready, click HERE

Why Attend?

1

2 Events under one roof with over 300 attendees and a vibrant exhibition area!

2

Discover the latest breakthroughs in imaging technologies, including AI and machine learning

3

Over 45 presentations across 3 concurrent tracks in 2 days

30+ speakers

7+ hours of networking opportunities

Dedicated poster presentation area

300+ delegations

Exhibition Area

2025 Event Speakers

Faisal Mahmood (Tentative)

Faisal Mahmood (Tentative)

Associate Professor of Pathology, Harvard Medical School

Kun-Hsing Yu

Kun-Hsing Yu

Assistant Professor of Biomedical Informatics, Harvard Medical School, USA

Jinmiao Chen

Jinmiao Chen

Associate Professor, Centre for Computational Biology, DUKE-NUS Medical School, Singapore

Asad Abu Bakar

Asad Abu Bakar

Director, Biomarkers and Data Analytics, MSD, Singapore

Chao-Hui Huang

Chao-Hui Huang

Director, AI/ML Applications, Pfizer, USA

Liansheng Wang

Liansheng Wang

Assistant Professor, Xiamen University, China

Yuan Ke

Yuan Ke

Senior Lecturer/Senior Staff Scientist, School of Cancer Sciences, University of Glasgow, UK

Qin Wu

Qin Wu

Principal Investigator, Hangzhou Institute of Medical Research, Chinese Academy of Sciences, CHINA

Dan Su

Dan Su

Director of Pathology Department, Zhejiang Cancer Hospital, CHINA

Shuhao Wang

Shuhao Wang

Adjunct Professor, China Japan Friendship Hospital, CHINA

Chen Li

Chen Li

Professor, Xi’an Jiaotong University, CHINA

Daljeet Bansal

Daljeet Bansal

Director of Operations, National Pathology Imaging Cooperative, UK

Kwan Hoong Ng

Kwan Hoong Ng

Emeritus Professor, Department of Biomedical Imaging, Universiti Malaya, Malaysia

Shaoying Huang

Shaoying Huang

Associate Professor, Singapore University of Technology and Design, Singapore

Suresh Sadananthan

Suresh Sadananthan

Senior Scientist, Institute for Human Development and Potential, A*STAR, Singapore

Zhong Liang

Zhong Liang

Associate Professor, SingHealth Duke-NUS Cardiovascular Sciences Academic Clinical Programme, Singapore

Hao Chen

Hao Chen

Assistant Professor, The Hong Kong University of Science and Technology, Hong Kong

2025 Event Partners

Platinum
Gold
Silver
Event partners
Media Partners

Program Agenda in Progress

This event will host panel discussions and feature early career researchers’ spotlight sessions. For speaking opportunity, please reach out to Febrina Zakaria (febrina@global-engage.com)

For Academics/Government agencies/Hospitals/Not-for-Profit/Start-up Biotech category and the Pharma and Biopharma category delegate, the group bookings & early-bird discount are available. Please contact Dhevin Selveraj at dhevin@global-engage.com for more details.

For technology or solution provider / vendor / consultant who wish to speak or exhibit and sponsor this event, kindly contact Reuben Raj at reuben@global-engage.com for special packages.

9th Digital Pathology & AI Congress: Asia

Event website

Radiology Congress: Asia

Event website

 

Poster Presentation

Whether looking for funding, employment opportunities or simply wanting to share your work with a like-minded and focused group, presenting a poster is an excellent way to join the heart of this meeting.

Poster presentations are actively encouraged at this event and as such registered academic, industry, and start-up delegates are invited to present 1 poster each for free.

Submission deadline – 11th July 2025.

Download abstract submission form

Contact: haley@global-engage.com for inquiries

Book Your Places

  • Fee for Academic/Govt/Non-For-Profit (USD)

    You Pay:
    $350.00
    No Multibuy Discounts
       
       
       
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    Add To Basket

  • Fee for Pharma/Biopharma (USD)

    You Pay:
    $350.00
    No Multibuy Discounts
       
       
       
    X

    How many would you like?

    Add To Basket

  • Fee for Solution/Tech Provider (USD)

    You Pay:
    $1,399.00
    No Multibuy Discounts
       
       
       
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Venue

NTU Singapore (Novena Campus)

Lee Kong Chian School of Medicine
NTU Singapore (Novena Campus)
Clinical Science Building
11 Mandalay Road
Singapore 308232

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