New Tech to Facilitate Zero Contact to Mitigate COVID-19 in Taiwan

National Taiwan University Hospital (NTUH), the Taoyuan City Government and local technology companies unveiled a blood oxygen monitor platform and mixed reality headsets to help medical workers combat silent hypoxia in COVID-19 patients. The equipment that was developed to facilitate “zero contact” treatment methods and reduce hypoxia deaths, would be deployed in six municipal quarantine facilities.

One-third of COVID-19 patients with mild or moderate symptoms might experience rapidly deteriorating health conditions in the late stages of the disease. This makes early detection of health downturns crucial. However, the deployment of manual vital sign monitors puts medical workers at increased risk of contracting the disease. Moreover, getting repeatedly in and out of personal protective equipment also causes fatigue.

The new real-time blood oxygen monitoring platform utilises Artificial Intelligence (AI) and is equipped with a thermometer and blood oxygen and blood pressure measuring devices. The platform automatically alerts medical personnel when a patient’s blood oxygen concentration drops to 95% of normal levels, which makes rapid medical intervention necessary.

The mixed-reality sick room system uses headsets to Livestream patient images to doctors, who can assess their condition through the teleconference software. The program then collects and applies big data analytics to patients’ vital signs. This would help medical workers assess disease risks and warn doctors of complications before they occur.

Intelligent medicine helps hospitals detect complications accurately with fewer personnel and can even benefit preventive care. The equipment is expected to reduce medical staff’s exposure to COVID-19 and lead to significant care quality improvements under pandemic conditions. Taoyuan City and Taoyuan General Hospital collaborated on the project because the city, as a national gateway, is in a good position to impede the virus.

Digital health has great potential to transform healthcare in Taiwan through delivering a better patient experience, with improved results, at lower costs. This trend is attracting the growing attention of firms operating at the intersection of technology and medical science, as well as encouraging tie-ups and collaborations between medical facilities and businesses involved in innovative sectors such as AI and the Internet of Things.

In Taiwan, the digital health trend is attracting the growing attention of businesses and new start-ups operating at the intersection of technology and medical science. Renowned hi-tech companies aim to transform not only Taiwan’s healthcare system but also the world’s. The focus is on integrating advanced technologies with the latest medical applications to enable connected and smart healthcare. This development is expected to have a synergistic impact on Taiwan’s emerging biomedical industry.

As the COVID-19 pandemic accelerated the transformation of information technology in the medical sector, Taiwan has been inventing many advanced technologies to prevent the further spread of COVID-19 infections. As reported by OpenGov Asia, Industrial Technology Research Institute (ITRI) utilised thermal Image Body Temperature Detection Technology together with AI and infrared thermal image colour displays to enable the detection of forehead temperatures for multiple individuals concurrently.

Supported by Taiwan’s Ministry of Economic Affairs (MOEA), the technology offers a non-contact, high-precision, full-colour detection solution that can improve contact tracing and thus contain the spread of COVID-19. The new feature of colour imagery greatly improves entry and exit controls, addressing the needs of government agencies and private companies that have large numbers of people passing through their doors.

In practice, ITRI has helped companies integrate the body temperature detection system with the company’s employee ID data for the access control at its Hsinchu facility. This also meets the requirements of the real-name system by the Central Epidemic Command Center, while reducing monitoring time and manpower needs by over two-thirds compared to manual temperature measurement.

ITRI’s Thermal Image Body Temperature Detection Technology combines AI to enable automated detection of forehead temperatures, avoiding errors caused by interference from other heat sources. Temperature compensation technology is utilised in conjunction with the Internet of Things (IoT) to sense the distance between detection device and heat source, along with ambient temperature and humidity levels.

Singapore’s Vision to be a Global Hub for Responsible AI Innovation

The prospective economic, social, and technological benefits of transforming Singapore into an open and trustworthy global artificial intelligence (AI) hub are substantial. It can place the nation at the vanguard of AI innovation and enable it to shape the future of this transformative technology.

The Ministry of Communications and Information (MCI) and a major technology firm announced their intention to work together to strengthen Singapore’s AI national vision and strategy. This strategic partnership may support the adoption and development of innovative, responsible, and inclusive AI technologies to maximise opportunities arising in Singapore and the region.

Director of the Digital Economy Office at MCI, Andrea Phua, stated that they welcome the opportunity to collaborate with the tech giant as they develop their plans to support the growth of the digital economy and realise the benefits that AI brings to individuals and businesses in a safe and responsible manner.

Singapore’s technology ecosystem has access to next-generation AI infrastructure, industry-leading GPU hardware, the Vertex AI platform, and AI-managed services and tools to implement AI at scale.

The partnership will seek to::

Accelerate the development of home-grown AI technologies: A marketplace for developers and businesses to access the best of AI solutions and foundation models, allowing them to build conversational AI, enterprise search, and other capabilities;
Build a sustainable pipeline of talent for the future AI economy: Skill-building initiatives to strengthen AI capabilities and competencies, including possible assistance for eligible startups to leverage an open AI ecosystem;
Supercharge the adoption of cloud AI technologies in Singapore: Development of incubators and accelerators that encourage developers, entrepreneurs, and companies to innovate with generative AI (Gen AI) technologies; and
Root Singapore’s AI progress in Responsible AI: Possible collaboration in AI governance and Responsible AI principles implementation.

By becoming a global AI centre, Singapore can attract world-class talent, researchers, and businesses. This promotes collaboration and the exchange of knowledge, resulting in innovation and the creation of cutting-edge AI technologies.

Several industries, including healthcare, finance, transportation, and manufacturing, will be transformed by AI. By positioning itself as a global AI hub, Singapore can attract investments, foster local startups, and generate high-paying employment, thereby fostering economic growth and prosperity.

Singapore has the potential to become a centre for AI education and talent development. By providing high-quality training programmes, seminars, and research opportunities, the nation can produce a workforce with AI expertise. This can satisfy the increasing demand for AI professionals and alleviate the talent shortage in this field.

Singapore, as a global AI centre, can serve as a testing ground for AI-based solutions and applications. The nation’s well-developed infrastructure, supportive regulatory environment, and diverse population make it an ideal location for the deployment and development of AI technologies. This enables businesses to validate their products, gain real-world insights, and iterate their solutions.

Through initiatives such as the Model AI Governance Framework, Singapore has demonstrated a commitment to ethics and trust in AI. Singapore can influence and define international standards for responsible AI development and deployment if it continues to develop as a global AI hub. This contributes to the development of AI technologies that respect privacy, impartiality, and transparency.

Singapore, as an open and trusted global AI centre, has the potential to become a regional leader in AI. This can entice regional enterprises and organisations to cooperate with Singaporean partners, resulting in a thriving Southeast Asian AI ecosystem. Singapore’s AI leadership may also assist drive regional initiatives, boost information sharing, and improve the region’s overall capabilities.

Decoding Machine Learning to Simplify Complex Model Interpretation

Machine-learning models are utilised in the real world to assist radiologists in identifying potential diseases in X-rays; however, these models are intricate and their prediction process remains elusive even to their creators. To address this, researchers employ saliency methods, techniques that seek to offer insights into the model’s behaviour and elucidate its decision-making procedure.

Researchers from the Massachusetts Institute of Technology (MIT) and a multinational technology company have collaboratively developed a tool with a new method to assist users in selecting the most suitable saliency method for their specific requirements. Therefore, they introduced saliency cards, providing standardised documentation summarising how a particular process of saliency operates, including its strengths, weaknesses, and explanations to aid users in correctly interpreting the method’s outputs.

The Co-lead Author, Angie Boggust, a graduate student in electrical engineering and computer science at MIT and a member of the Visualization Group of the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL), expresses the team’s aspiration that users equipped with this knowledge will be able to consciously select a suitable saliency method based on the specific machine-learning model being employed and the task it aims to accomplish.

Boggust explains that saliency cards are purposefully crafted to provide a concise and easily understandable overview of a saliency method while highlighting the essential attributes most relevant to human users. These cards are intended to be accessible to a wide range of individuals, including machine-learning researchers and even those unfamiliar with the field and seeking guidance in selecting a saliency method for the first time.

Choosing the “wrong” saliency method can have serious consequences. For instance, one saliency method known as integrated gradients compares the importance of features in an image to a meaningless reference point. Features with the highest priority compared to this reference point are considered the most meaningful for the model’s prediction. If an unsuitable saliency method is chosen, it can lead to incorrect or misleading interpretations of the model’s behaviour and predictions. Therefore, selecting a saliency method appropriate for the specific task requirements is crucial to avoid these consequences.

Saliency cards can assist users in avoiding choosing “the wrong method” by reducing the operational details of a saliency method into ten user-centric attributes. The attributes encompass the methodology for calculating saliency, the connection between the saliency method and the model, and how users interpret the outputs generated by the method.

The saliency cards can also serve as a valuable resource for scientists by revealing areas where further research is needed. For instance, the researchers from MIT encountered a challenge in finding a saliency method that was both computationally efficient and applicable to any machine-learning model. This highlights a gap in the research space that warrants further exploration and development.

In the future, the researchers aim to delve into the less-explored attributes of saliency methods and potentially create task-specific saliency techniques. They also seek to enhance their understanding of how individuals perceive saliency method outputs, with the potential for developing improved visualisations. Furthermore, they have made their work accessible through a public repository, inviting feedback from others that will contribute to future advancements.

Boggust is optimistic, envisioning these saliency cards as dynamic documents that will evolve as new saliency methods and evaluations emerge. Ultimately, this marks just the beginning of a broader discussion regarding the attributes of saliency methods and their relevance to different tasks. Boggust believes that in the future, there will be other researchers who will further develop this discovery.

Singapore Unveils AI Government Cloud Cluster

The Smart Nation and Digital Government Office (SNDGO) and a major cloud computing company have announced the launch of the Artificial Intelligence Government Cloud Cluster (AGCC), a comprehensive platform designed to accelerate AI adoption in Singapore’s public sector, advance local applied AI research efforts and support the growth of the local AI startup ecosystem.

The AGCC has been implemented by SNDGO and the cloud tech company for usage by Singapore’s government agencies and the research, innovation, and enterprise (RIE) ecosystem. The AGCC is hosted in Singapore in a specialised cloud computing environment.

Agencies can use the AGCC to build and deploy scalable and impactful AI applications rapidly, safely, ethically, and cost-effectively by leveraging an AI technology stack and a vast partner ecosystem of software-as-a-service firms, consultancies, and AI startups. AI technology stack capabilities include:

First, an AI-optimised infrastructure. High-performance A2 supercomputers powered by NVIDIA’s A100 GPUs and hosted in an open, scalable, secure, and energy-efficient infrastructure. This enables cloud developers to train computationally complex AI models at fast speeds while minimising costs and environmental impact.

Customisable first-party, third-party, and open-source AI models follow. A central repository enabling AI practitioners to access pre-trained generative AI models, with built-in features to assist users in customising these models for specific requirements.

The repository contains a wide range of first-party, third-party, and open-source models designed for certain needs. These include models for summarising and translating text in different languages, sustaining an ongoing discussion, converting audio to text, producing, and modifying software code, and generating and repairing written descriptions.

International AI businesses interested in making their foundation models available to Singapore government departments can collaborate with the Cloud computing company to store these models in the repository.

Another category is no-code AI development tools. A Generative AI App Builder enabling developers (especially those with limited technical expertise) to swiftly construct and seamlessly embed chatbots and enterprise search experiences driven by Cloud’s generative AI models.

Finally, there are explainable AI and data governance toolkits. A set of built-in technologies that can assist government agencies in using AI in a secure and responsible manner. This includes features for access control and content moderation, as well as novel mechanisms for incorporating human feedback to improve model performance and the ability to audit the sources of AI model outputs to detect and resolve potential bias and ensure that model behaviour is compliant with regulations.

The Government Technology Agency (GovTech) is Singapore’s first public-sector organisation to use the AGCC. Its Open Government Products (OGP) team has integrated with Vertex AI and is investigating the use of its models in Pair, which are large language model-powered assistants that civil servants can use to help them boost productivity while maintaining the confidentiality of government information.

To help government agencies deploy AI applications as effectively and responsibly as possible, the Cloud tech company will collaborate with GovTech to design and run whole-of-government Digital Academy programmes that will assist agencies in developing in-house data science and AI expertise, developing AI innovation strategies, and implementing data governance best practices.

The programmes will be delivered in a variety of specialised formats to 150,000 public servants from 16 ministries and over 50 statutory boards.

Government agencies in Singapore will be able to use the AGCC and other authorised services through the Government on Commercial Cloud (GCC) 2.0 platform beginning in June 2023. The GCC platform, developed by GovTech, offers agencies a standardised and regulated means to implement commercial cloud solutions.

GCC 2.0, the platform’s second generation, is integrated with cloud-native capabilities and cloud security practices, enabling agencies to access into a larger ecosystem of services and people to accelerate the development of new digital applications.

India: University Implements AI/ML for Efficient Tracking

State-run Osmania University in Hyderabad has embraced artificial intelligence and machine learning (AI/ML) to revolutionise its attendance marking process. Now, the tedious waiting to sign attendance registers or use biometric systems is no longer required. Employees simply need to enter the building, and their attendance will be automatically recorded. This is made possible through CCTV cameras equipped with AI and ML technologies, which accurately mark employees’ attendance, log-in and log-out times, as well as their entry and exit from the building.

The functionality of these cameras relies on an integrated facial recognition system. Leveraging cognitive AI capabilities, they identify facial biometrics and synchronise them with the current database to accurately document employee attendance. This innovative solution has been implemented as a pilot project in the main administrative building of the university for its employees. In the future, the university plans to expand the deployment of these cameras to other campus facilities, including offices, classrooms, and hostels.

According to an official from the university, under the manual system, employees often mark their attendance in the morning, leave the office, and return later to record their log-out time. However, with the implementation of CCTV camera-based attendance, this process will undergo a significant change. The cameras continuously capture movement and simultaneously store employees’ log details, eliminating the need for manual recording. To achieve this, AI and ML technologies have been integrated into two cameras.

Additionally, the official noted that the CCTV cameras also capture the log-in information of visitors entering the administrative building. This means that the log details of all visitors are systematically recorded in the database, providing a comprehensive attendance tracking system.

The introduction of CCTV-based attendance eliminates the need for manual attendance registers or time-consuming biometric systems, streamlining the entire process. Students simply need to enter the designated areas covered by CCTV cameras, and their attendance is promptly recorded. This not only saves time but also reduces the chances of errors or misinterpretations.

Moreover, these AI-powered cameras not only capture the presence of students but also provide additional functionalities. Some universities have integrated facial recognition systems to ensure authentication and prevent proxy attendance. The cameras analyse facial biometrics, matching them against the existing database to ensure accurate identification. It can also enable the university to track attendance patterns, identify areas that require improvement, and take proactive measures to enhance student engagement and performance.

Most educational institutions across the country are embracing the advancements brought by AI. Numerous schools and colleges have incorporated AI-based learning techniques to simplify the process of education and effectively teach intricate subjects to students. Additionally, AI’s adaptable learning methods assist teachers in providing personalised attention to each student.

Last year, the Indian Institute of Technology Madras (IIT-Madras) and the Tamil Nadu State Department of School Education announced they would collaborate to improve and update the digital learning platform for school students to an assessment-focused Learning Management System. It was deployed in high-tech labs in 6,000 government schools, as OpenGov Asia reported. It aimed to improve the quality of learning for around nine million students.

Education in Tamil Nadu’s schools was previously supplemented through a digital learning platform called the Education Management Information System. Researchers from the Indian Institute of Technology Madras used their AI and data science expertise to come up with ways to improve the way assessments are conducted and develop a framework to disseminate educational material.

Singapore’s Digital Solutions for Advance Care Planning

According to Masagos Zulkifli, Second Minister for Health at the recently concluded 8th Advance Care Planning International Conference, person-centred care includes prioritising the patient’s choices and involving the patient and their family in care decisions. As a result, advance care planning (ACP) allows individuals to communicate their enhanced healthcare preferences.

ACP has been adopted in Singapore under the Advance Medical Directive Act and the Mental Capacity Act. Over 35,000 Singaporeans have completed their plans under the “Living Matters” programme, which promotes ACP.

In the future, the Ministry of Health hopes to raise awareness and acceptance of ACP, which has earned global prominence for aligning care with individual beliefs.

Minister Masagos noted that three issues must be overcome to promote the wider adoption of ACP. To begin, Singapore’s traditional society requires a mindset shift to normalise dialogues about death and dying, particularly among the elderly.

Second, additional facilitators, particularly trustworthy doctors, should be included to effectively engage the community. Finally, the present ACP facilitation approach requires an improved structure that can accommodate a larger group without losing quality.

In addition, technology should be used to reach out to digitally literate populations and increase scalability. Overcoming these obstacles will allow ACP to gain wider support and implementation in Singapore.

The Ministry of Health hopes to improve accessibility and ease in the ACP process as Singapore embraces technology. Individuals can now complete their ACP autonomously, without the necessity for in-depth talks with facilitators, thanks to the use of digital technologies, especially for those who are generally healthy.

This transition to digital solutions tackles the scalability and resource intensity issues that have plagued traditional ACP facilitation. It also serves a growing generation of digitally literate consumers who want more control over their healthcare decisions.

The ACP community must work with the healthcare system’s continuing improvements, particularly the Healthier SG project, which emphasises preventive care. Key shifts are required to enhance ACP knowledge and implementation.

Also, a societal mindset shift is required, which includes outreach, providing ACP outside of clinical settings, and establishing a statewide Pre-Planning Campaign. Roadshows, workshops, and a digital campaign on the My Legacy site will be part of this effort.

Individuals can use this gateway to get extensive information about ACP, start conversations, and make informed decisions about their life preferences. These programmes not only empower individuals but also promote early planning, ensuring that their values and priorities fit with their care goals.

Individuals and their families will benefit from these efforts, which aim to stimulate talks and early planning for end-of-life care. It is critical to begin these discussions and make the appropriate arrangements, including as purchasing insurance and establishing a durable power of attorney and wills.

Two critical shifts must occur for ACP to be widely adopted. First, healthcare personnel should be encouraged to incorporate ACP dialogues into routine treatment, giving them the knowledge and ability to discuss end-of-life planning with their patients.

This involves starting early dialogues with people who have significant illnesses about how to connect their care plans with their values. Second, to improve the ease, the ACP procedure should be digitalised.

While third-party facilitators are still required in some circumstances, digitally savvy persons who are relatively healthy can self-facilitate the broad ACP without in-depth conversations. Citizens can empower themselves to finish the ACP process independently by leveraging technology and digital platforms.

Unlocking AI’s Potential for Accelerated Drug Development

The University of Sydney recently entered into a memorandum of understanding (MoU) with the Australian subsidiary of a pharmaceutical company based in South Korea. The partnership aims to leverage the power of artificial intelligence in identifying potential compounds for accelerated development into treatments for cancers and rare diseases.

Under the MoU, the University’s Drug Discovery Initiative will gain access to the pharmaceutical company’s advanced AI drug development platform, known as Chemiverse. This collaboration will enable the University to harness the capabilities of AI in identifying promising compounds for drug development. Additionally, the company will benefit from collaborating with the University’s esteemed team of researchers and using their cutting-edge drug discovery infrastructure.

The Director of the Drug Discovery Initiative expressed enthusiasm about the collaboration with the company. He highlighted the complexity involved in developing drugs for treating diseases and emphasised the significance of working with Pharos and their advanced artificial intelligence platform, Chemiverse.

The use of Chemiverse in this partnership is expected to greatly enhance the University’s capacity to develop innovative treatments for unmet medical needs. Moreover, the synergies between the platform and the Drug Discovery Initiative will foster innovation and facilitate the establishment of new drug discovery pipelines.

The Drug Discovery Initiative, situated within the School of Chemistry, serves as an interdisciplinary academic network that aims to expedite the early-stage development of drugs by leveraging top-tier individuals, technologies, and tools.

The Pro-Vice-Chancellor (Research Enterprise) emphasised the University’s dedication to translating fundamental research into practical solutions. The partnership with the company is viewed as an opportunity to capitalise on the expertise housed within the Drug Discovery Initiative. Together, they strive to advance the development of potentially life-saving targets for cancer and rare diseases.

The co-CEO of the company’s Australia branch expressed excitement about collaborating with the University and the Drug Discovery Initiative. He said the use of state-of-the-art infrastructure to accelerate drug discovery efforts.

The firm’s Chemiverse platform is a versatile tool that can be employed across the entire spectrum of new drug development, encompassing target discovery to lead compound generation. This advanced platform incorporates a vast amount of big data, approximately 230 million data points, and uses advanced algorithms to facilitate the drug development process.

The company is actively engaged in ongoing research and development as well as commercialisation efforts using the Chemiverse platform. They are currently working on approximately 10 pipeline projects, which include the development of a treatment called “PHI-101” for acute myeloid leukaemia. Notably, PHI-101 is currently undergoing phase 1b clinical trials.

On the other hand, the Drug Discovery Initiative plays a prominent role in the development of new compounds and the identification of collaborative pipelines. They are highly active in their pursuit of advancing drug discovery and forging partnerships in this field.

In March, the NSW Government provided funding for the establishment of the NSW Organoid Innovation Centre. This state-of-the-art facility is a collaborative initiative involving multiple institutions. It focuses on using cutting-edge stem-cell techniques to expedite the process of drug discovery and design.

The pharmaceutical company, earlier this year, became a part of the Sydney Knowledge Hub, which serves as a startup incubator and coworking space located at the University of Sydney. This strategic collaboration aims to foster partnerships and facilitate seamless collaboration between industry and the research community in Sydney.

Transforming Indonesian Healthcare with 5G, Robotic Telesurgery

Indonesia has embarked on an exciting journey towards revolutionising its healthcare landscape by embracing the power of 5G technology and introducing the groundbreaking concept of Robotic Telesurgery. This ambitious endeavour aims to elevate the quality of healthcare services, overcome geographical barriers, and provide access to cutting-edge surgical procedures for patients nationwide.

In support of the government’s agenda through the Ministry of Health of the Republic of Indonesia, a pilot test and demonstration of the implementation of the 5G Robotic Telesurgery (remote robotic surgery) use case, the first of its kind in Indonesia is being conducted.

Robotic Telesurgery is one of the innovative use cases that harness the power of the 5G network, supported by a private network company in Indonesia, enabling the healthcare realm to enhance productivity and efficiency.

In the real-time implementation of Robotic Telesurgery technology, a large bandwidth capacity and low latency are required for data controlling functions, intra-abdominal accurate image transfer, and video communication. In the pilot test and demonstration, the doctors are located at RSUP Dr Hasan Sadikin in Bandung, while the patients are at RSUP Dr Sardjito in Yogyakarta. The distance between Bandung and Yogyakarta is approximately 563 km.

Reliable and low latency 5G network infrastructure is utilised at both pilot project hospital locations to accommodate Robotic Telesurgery. It ensures high visual precision and ergonomic remote instrument accessibility and reduces the risk of complications during surgical procedures and recovery.

Deputy Minister of Health, Prof. Dante Saksono Harbuwono, explains that telerobotic surgery technology is beneficial for addressing the shortage of specialist surgeons and eliminates geographical barriers and distance limitations. This technology can assist surgeons and patients in remote areas, providing them access to the latest surgical procedures.

Considering that Indonesia is an archipelago with thousands of islands, this advanced technology addresses the country’s geographical challenges, reducing the risks and dangers associated with long-distance travel.

Director of Planning and Transformation at the private network, Wong, stated that in continuing the commitment to make the leading 5G broadband network ecosystem, both the government and private sector must take a leading role in implementing mobile digital services and solutions that exceed user expectations and support the nation’s economic growth.

The partnership between the private sector and the public hospitals showcases the synergy in driving technological innovation to benefit the nation’s healthcare landscape. By pushing the boundaries of technology in healthcare, Indonesia demonstrates its commitment to embracing the digital era and harnessing its transformative potential.

The government is optimistic that such collaborations can continue with all stakeholders, including the Ministry of Health and national healthcare service providers, to explore further opportunities for advancement in accelerating the digital transformation of national healthcare services. It will bring progress in the healthcare sector and various other industries that can support the nation’s development.

June 6, 2023

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New Tech to Facilitate Zero Contact to Mitigate COVID-19 in Taiwan

Singapore’s Vision to be a Global Hub for Responsible AI Innovation

Decoding Machine Learning to Simplify Complex Model Interpretation

Singapore Unveils AI Government Cloud Cluster

India: University Implements AI/ML for Efficient Tracking

Singapore’s Digital Solutions for Advance Care Planning

Unlocking AI’s Potential for Accelerated Drug Development

Transforming Indonesian Healthcare with 5G, Robotic Telesurgery

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