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In this session, the experts will share their perspectives and experiences in advancing healthcare innovations through AI.

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Interested in gaining insights on Artificial Intelligence (AI) for Health?

AI has gained considerable attention in recent years, especially for healthcare applications. The field of health AI is apparently wide—covering wellness to diagnostics to operational technologies. The breakthroughs of these AI applications will not be realised without the understanding of underlying challenges and development of reliable AI models and integrated analytical platforms that facilitate medical research insights.

In this session, we bring together experts from the academic, national AI programme office, healthcare and industry to share on their individual perspective and experience in advancing healthcare innovations through AI:

  • Challenges of AI in Health: A Deep Learning Perspective - Robby Tantowi Tan, NUS
  • Improving Hospitalisation Risk Prediction Among Kidney Patients – Lim Tern Poh, AI SG
  • AI for Clinical Use- All Talk, or Does It Move the Needle? - Ian Mathews, NUHS
  • Building an Advanced Health Analytics Platform - A Non-for-Profit Perspective – Maya Kidron, data4life

Join us at this online event to hear from the speakers on their journey in developing health AI platforms followed by a panel discussion.

About the Speakers:

Robby Tantowi Tan, NUS

Robby T. Tan is an associate professor at both Yale-NUS College and Department of Electrical and Computer Engineering, National University of Singapore (NUS). His main research is in computer vision and deep learning, particularly in the domains of low level vision (badweather/nighttime, color analysis, physics-based vision, optical flow, etc.), human pose/motion analysis, deep semi/unsupervised learning, and applications of deep learning in healthcare. Previously, he was an assistant professor in Utrecht University. He was also a researcher at Imperial College London, and NICTA/the Australian National University, working with Prof. Richard Hartley. He received his PhD from the University of Tokyo, under the supervision of Prof. Katsushi Ikeuchi.

Lim Tern Poh, AI SG

Lim Tern Poh is an AI Consultant, AI Industry Innovation at AI Singapore. He provides consulting services to enable teams to undertake the development and implementation of AI minimum viable models within their organisations. He is also on secondment to National AI Office (NAIO) to provide his technical expertise on AI. Prior to these, he was on secondment to the Government Technology Agency (GovTech) as the Data Science & AI Programme Manager to assist in the building of analytics capabilities across the whole-of-Government. He was also an instructor for the Data Analytics programme at the National University of Singapore School of Continuing and Lifelong Education (SCALE).Tern Poh is a candidate for part-time Master of Computing (AI) at National University of Singapore. He holds a Bachelor of Business Management (Finance & International Trading, Cum Laude) from Singapore Management University and Advanced Diploma (Biomedical Sciences) from Republic Polytechnic.

Ian Mathews, NUHS

Ian is an Emergency Medicine Physician with the National University Health System (NUHS). He is also the Deputy Group Chief Technology Officer for the hospital group, focusing on data in healthcare and artificial intelligence solutions for clinical problems. Besides his clinical work, Ian teaches as an Assistant Professor at the National University of Singapore (NUS), where he combines classroom academic rigour with practical bedside training. He is also a Singapore-Stanford Biodesign Fellow with experience in patient-centric medical technology, from ideation and innovation through to implementation. Ian has an avid interest in global health and technology’s application to healthcare, particularly in emerging fields such as blockchain and artificial intelligence. He concurrently advises medtech startups in various fields, and has developed Singapore's first clinician-led co-working space and centre for innovation for medtech called CATALYST. Ian firmly believes that technological solutions can provide access and help reduce inequity in global healthcare delivery.

Maya Kidron, data4life

Maya Kidron, MBA, is VP Product for the Analytics platform of the nonprofit organization D4L data4life gGmbH (formerly “Gesundheitscloud”), and is leading the development of an OMOP based clinical data analytics platform for research. She has previously led the development of the Medical Research Insights and Clinical Measures Analytics solutions in her role as development manager in the SAP Health Application innovation unit. She has engaged in co-innovation projects with leading cancer organizations including ASCO (American Society of Clinical Oncology) and Institut Gustave Roussy in Paris.

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