Nanyang Technological University, Singapore (NTU Singapore) and the National Healthcare Group (NHG) are leading the way in establishing a new centre to bridge the gap between cutting-edge AI technology and their useful applications in medicine in order to promote artificial intelligence (AI) in healthcare.
Through its research endeavours, the NTU’s Lee Kong Chian School of Medicine (LKC Medicine) is leading the new Centre of AI in Medicine (C-AIM), which seeks to transform patient care and inform public health policies.
In order to guide its research and innovation activities, the new centre will concentrate on four major therapeutic domains: mental health, geriatric frailty, medical imaging, and cancer screening. This is consistent with Singapore’s second National AI Strategy (NAIS 2.0), which aims to promote the adoption of AI-powered medical instruments and solutions.
Mr. Tan Kiat How, Senior Minister of State in the Ministry of Digital Development and Information, officially opened the centre today.
NTU Senior Vice-President (Health and Life Sciences), Distinguished University Professor and Co-Director of C-AIM, Professor Joseph Sung, said: “While Singapore has a strong foundation for the safe growth of AI in healthcare, more needs to be done to bridge the gap between technology development and real-world clinical application.”
“Our unique multidisciplinary research across fields will ensure that AI solutions are not only innovative but also accessible, affordable, and scalable. C-AIM will help build the trust, evidence, and integration needed for widespread AI adoption,” said Prof. Sung, who is also Dean of LKC Medicine.
Senior Deputy Dean of the College of Computing & Data Science, Associate Vice President, Capability Building, and Co-Director of C-AIM, Professor Miao Chun Yan, said: “In addition to technological advancements, it is crucial to prioritise human-machine interactions to create human-centred AI systems that healthcare professionals can trust and use in a natural and intuitive way. This will ensure that AI solutions are both impactful and widely adopted.”
Leveraging leading expertise in healthcare
Through the collaboration of both domestic and foreign academic and business partners, including Olympus Singapore and Yale School of Medicine, C-AIM conducts multidisciplinary research in the domains of medical, computer engineering, data analytics, social science and ethics, and implementation science.
The centre will be able to successfully explore and adapt AI solutions into clinical practice, assuring their clinical relevance and usefulness to patients and the wider population, thanks to the combined expertise of these partners and the more than 100 researchers and clinicians working under C-AIM.
President and Chief Executive Officer of Olympus Corporation, Stefan Kaufmann, said: “I am excited to commence this partnership with NHG and the NTU. We believe that AI technologies have a growing role to play in MedTech and will ultimately assist in elevating the standard of care delivered to patients throughout the world and the Asia Pacific region. Together, we aim to study, accelerate, and achieve breakthroughs to grow our understanding of how to best apply AI in the medical field, as we seek to improve healthcare outcomes at scale with our partners and products.”
Yale School of Medicine’s Deputy Dean for Biomedical Informatics, Chair, Department of Biomedical Informatics and Data Science, Professor Waldemar von Zedtwitz Lucila Ohno-Machado said, “We look forward to being part of this critical work to increase AI’s impact on human health and transform the health care system. In addition to enhancing research and discovery and improving patient outcomes, AI will create more space for humans to be humans. By automating documentation processes and the mechanical aspects of health care, AI will provide more time for listening and interaction between clinicians and their patients.”
Accelerating AI adoption in healthcare
Significant advancements in diagnosis and therapy have already been made by digital technologies like generative AI and machine learning.
AI is utilised, for instance, to identify anomalies in brain CT scans, mammography, and chest X-rays. Deep learning models, such as SELENA+, are employed to identify diabetic retinopathy. Singapore has adopted AI in clinical practice more slowly than other industries, even with significant improvements.
C-AIM seeks to resolve a number of significant issues that have impeded healthcare’s complete adoption of AI. These include the dearth of clinical data showing how AI might improve patient outcomes, the ambiguity around the ethical and regulatory implications of AI, and the requirement for proof that AI can lower healthcare expenditures and labour costs.
In order to accomplish its goals, C-AIM will carry out implementation and simulation studies using AI, enabling medical practitioners to thoroughly test AI tools prior to their use in practical settings.
With state-of-the-art GPU infrastructure at its disposal, C-AIM will carry out research to speed up AI and machine learning applications while keeping separate research facilities to protect private data.
The research will provide important insights into how AI may be used in clinical workflows in an efficient manner, with an emphasis on meeting the unique requirements of regional healthcare systems.
Annexe A contains further details on the research initiatives that C-AIM is working on.
Creating better healthcare in Singapore
Through the utilisation of AI capabilities in Singapore and the promotion of collaboration across academics, healthcare, and industry, C-AIM has the potential to revolutionise the healthcare sector and establish Singapore as a worldwide leader in AI-driven medicine.
An important turning point in Singapore’s transition to a digital healthcare system is the launch of C-AIM.
With the growing integration of AI into clinical practice, the Centre’s efforts will guarantee that patients and healthcare providers alike may take advantage of the latest technological advancements.
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