至今中心成立已滿三年，各項業務也上軌道。在109年度，轄下共有32個跨單位的AI計畫執行，約佔整體AI專案計畫43%。共有130餘名教授，740餘位研究人員參與計畫執行，是國內首屈一指的規模。中心今年與多個國際單位進行合作，包括與日本的AIST AIRC、RIKEN AIP、東京工業大學、史丹佛醫學院，並參與全球聯邦學習 EXAM計畫等。中心也持續培育人才，舉辦 AI Meetup、AI Summer School、Google AI Bootcamp、Medical AI School等活動；與中國信託，聿信醫療等多家廠商展開合作；並於11月舉辦成果展示，邀請科技部AI專案70多個團隊展出，也於12月的醫療科技展安排8個醫療照護團隊參展，推動研究成果與產業進行連結。此外中心也爭取到科技部拔尖整合計畫 (Capstone)，在臺大醫院急診部進行三年期的 “以人工智慧技術輔助醫療臨床決策與解決急診壅塞”AI模型開發，場域建置與落地試驗。
In 2018, under the MOST’s “Grand Strategy for a Small Country” national AI policy initiated by ex-Minister of Science and Technology Liang Gee Chen, the MOST Joint Research Center for AI Technology and All Vista Healthcare (also known as AI Research Center at NTU, AINTU) was founded. The AINTU’s goal is to become an enabler and to support cross-university research teams. With our support, each team can learn from others, exchange ideas with international partners, promote developed results, and implement them on the selected industrial use cases. AINTU is now the largest Research Center under MOST’s AI Innovation Program.
It’s been three years since the AINTU was established. In 2020, 32 cross-university projects are under execution, and the number of projects is around 43% of the AI Innovation Program. More than 130 professors (PI and co-PI) and 740 researchers were involved in these projects.
We also collaborated with several international institutions on organizing competitions, seminars, and researches, including with AIST AIRC, RIKEN AIP, Tokyo Institute of Technology, Stanford Medical School, and also attended the EMR Chest X-ray AI Model (EXAM) federated learning initiative.
At the same time, we keep cultivating talents by organizing academic events, such as AI Meetups, AI Summer School, Google AI Bootcamp, and Medical AI School. We also initiated several industry collaboration projects with partners, such as China Trust Commercial Bank, Heroic Faith Medical Science, etc. We also organized a large-scale technology demonstration in November, in which more than seventy project teams, sponsored by the MOST AI Innovation Program, were invited. In December, AINTU attended the annual Healthcare+ Expo together with eight project teams. In addition, our Capstone project proposal, “Transforming ED throughput with AI-Driven Clinical Decision Support System (CDSS): The Impact on the Delivery of Care and Patient Experience,” was accepted by MOST and start execution in March.
We also have fruitful research results from many projects, here are some examples: YOLO-V4, the fastest and most accurate object detection model developed by Professor Hong-Yuan Mark Liao, “xCos: an explainable face recognition technology” developed by Prof. Winston Hsu, “AECOPD: precise healthcare service for COPD patients“ developed by Prof. Feipei Lai, and the “ApolloVue S100: Optical Coherence Tomography Imaging System” received FDA 501(k) PN, in which the IP was transferred from Prof. Sheng-Lung Huang. We do believe these contributions brought significant impact to both academia and industries.
Looking to the future, we will attract AI talents to Taiwan by holding MLSS 2021 (Machine Learning Summer School) in 2021. We plan to promote our technologies to the world by leveraging stronger research collaborations between AINTU and Google. We successfully won the bid to host the top-tier conference ACM SIGIR 2023, and we expect to gather international professionals coming to Taiwan then. With the world AI trend, we want to cover more topics when putting AI technologies to real user scenarios, such as privacy, consumer data rights, AI for social good, trustworthy AI, etc. AINTU will play the bridging role between academia and industries, between Taiwan and foreign countries, between core technology and application scenario. Our goals are to make AI becoming the strength of Taiwan, to use AI to enable more innovations, to make AI trustworthy, and to use AI to create a better life.
共同主任的話
Co-Director’s Message
國立臺灣大學 傅立成講座教授 ／ Chair Prof. Li-Chen Fu, National Taiwan University
Good health is always the sustainable development goal for human beings and is doubtlessly focused on medical and healthcare. In today‘s medical contexts, patients and clinicians are increasingly demanding accurate diagnoses. Not only do they expect a high degree of accuracy in screening and diagnosis, but also hope that the risk of future disease can be predicted through the help of artificial intelligence (AI). With proper intervention or healthcare, it is indeed possible to avoid future health problems.
Launched in 2018, All Vista Healthcare Center (MAHC) is dedicated to AI applications in medicine and healthcare, including mental healthcare, medical imaging, decision support, precision drug use,
and AI-ELSI. The MAHC adopts cross disciplinary cooperation methods to create an integrated platform so that for AI applications in medical and healthcare can be quickly generated and verified. We anticipate to facilitate the development and paradigm shift in digital medicine and healthcare.
During 2020, the major achievements by the MAHC and project teams include: for advanced research, AI-assisted medical imaging analysis for early detection of pancreatic cancer or AI-enabled therapeutic drug screening for COVID-19 were published in world-leading journals in such as The Lancet Digital Health and ACS Nano; for technological innovations, “AECOPD System for Precision Medicine” to offer COPD patients precise healthcare services is currently implemented in National Taiwan University Hospital. The other is “Al-Based Web Diagnostic System for Phenotyping Psychiatric Disorders” for schizophrenia won the 17th National Innovation Award; for academic-industrial collaborations, the MAHC joined the EMR CXR AI Model Initiative, a global federated learning project initiative by US NVIDIA and Massachusetts General Hospital for the oxygen needs by patients with COVID-19 and research results are expected to be published in a top medical journal; collaborations with world-renown research institutes helps to boost visibility of the medical AI research of our center, including research publications in predicting patient outcomes in the intensive care and cardiovascular diseases with Stanford University, and NIH grant applications for dementia research with Harvard Medical School.
In response to COVID-19 pandemic, the MAHC organized “TAIWAN is Helping: AI x Epidemic Prevention Online Forum”, a series of three forums held in April, June, and August in 2020, and invited more than 30 key opinion leaders from the industry, government and academia, including Dr. Chien-Jen Chen, the former Vice-President of Taiwan and also an Academia Sinica Academician. The forums received significant public attentions and responses and are expected to be helpful to provide guidelines to combat the pandemic using AI.
With the hope of being the key driver for smart medical and healthcare, the MAHC aims to catalyze collaborations among public and private parties. At the end of the day, the MAHC strives to form an international research cluster to attract global medical and healthcare AI experts and to help Taiwan’s medical and healthcare success be globally visible and valuable in the era of AI.
