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Singapore’s National AI Strategy 2.0 in Healthcare
Singapore is taking actionable steps as a leader in AI-driven healthcare, with numerous initiatives to deliver on its commitment to transforming the sector. Through the National AI Strategy, Singapore has made healthcare one of the five strategic sectors identified for AI adoption. This focus is supported by substantial funding, a strong regulatory framework, and an emphasis on practical applications that deliver measurable outcomes.
The urgency of this focus is driven by Singapore’s longstanding demographic challenges. By 2030, the nation’s rapidly aging population is projected to include 900,000 elderly citizens aged 65 and above, comprising around 24% of its citizen population. Combined with persistently low birth rates, this demographic shift creates a critical need to address increasing healthcare demands.
In response, the National AI Strategy 2.0, updated in 2023, emphasizes a comprehensive approach to healthcare innovation. By focusing on empowering citizens to proactively manage their health, the strategy is fostering a resilient, informed population while positioning Singapore as a model for healthcare transformation in the region and beyond. This forward-thinking approach reflects Singapore’s leadership in AI adoption, ensuring that citizens are equipped to meet future healthcare challenges.
Why AI in Healthcare for Singapore?
Efficiency Gains
AI-driven automation transforms healthcare workflows, handling data analysis and repetitive tasks so healthcare professionals can focus on what they do best: patient care.
Generative AI systems in Singapore are now automating medical record updating across the public health sector, a move expected to save hours of clinical time each day. By offloading documentation and administrative tasks, AI allows clinicians to direct more attention to diagnosing and treating patients, improving overall care quality.
A notable initiative is the recently deployed Note Buddy by SingHealth, a generative AI-powered tool that automatically transcribes and summarizes clinician-patient conversations in real-time. This system supports multiple languages, including English, Mandarin, Malay, and Tamil, facilitating more efficient documentation processes.
Additionally, RUSSELL-GPT by the National University Health System (NUHS) is an advanced language model specifically designed to handle administrative tasks such as summarizing patient case notes and drafting referral letters. This tool significantly reduces the documentation burden on healthcare staff, allowing them to spend more time on direct patient care and enhancing overall efficiency in healthcare delivery.
Impact of AI Adoption on Healthcare Efficiency
- Reduce documentation time by 50%:
AI-driven documentation tools, similar Note Buddy, save clinicians between 2-7 minutes per patient visit. - Cut administrative tasks burden by up to 40%:
AI tools like RUSSELL-GPT enable a 10-20% increase in patient-to-clinician ratios by reducing non-clinical tasks..
Better Accuracy
AI is revolutionizing diagnostic accuracy in Singapore’s healthcare system by providing advanced tools for early detection and assessment. By analyzing vast datasets and learning from historical patient information, AI improves clinicians’ ability to diagnose conditions accurately and predict potential health risks.
A prominent example is the SELENA+ system developed by the Singapore National Eye Centre (SNEC). This AI tool specializes in detecting diabetic retinopathy with over 90% accuracy, a critical advancement for diabetic patients at risk of vision loss. By analyzing retinal images, SELENA+ can identify early signs of diabetic retinopathy, glaucoma, and age-related macular degeneration, facilitating early intervention and preventing irreversible vision impairment.
In addition, the JARVIS-DHL project harnesses predictive AI to detect chronic conditions such as diabetes, hypertension, and hyperlipidemia in their early stages. By catching these conditions before they escalate, AI-based diagnostics like JARVIS-DHL reduce the likelihood of severe complications by up to 20% over five years, significantly improving patient outcomes through timely interventions.
These initiatives highlight the transformative impact of AI on diagnostic precision, enabling Singapore to deliver higher-quality, proactive healthcare and enhance long-term health outcomes for its population.
Greater Diagnostic Accuracy in Healthcare with AI
- 90% Accuracy in Diabetic Retinopathy Detection:
SELENA+ by SNEC detects diabetic retinopathy, glaucoma, and macular degeneration with over 90% accuracy, enabling early intervention to prevent vision loss. - 20% Fewer Complications Through Early Detection:
JARVIS-DHL identifies chronic conditions like diabetes and hypertension early, reducing complications by up to 20% over five years
Cost Savings
AI is a powerful tool for controlling healthcare costs in Singapore, optimizing treatment plans, minimizing unnecessary procedures, and enabling preventive care that reduces expenses across the system. By integrating AI-driven solutions, healthcare facilities can streamline operations and manage resources more effectively, ultimately providing more efficient and affordable care.
A notable example is the Endeavour AI platform, which optimizes patient flow and bed management in hospitals. By preventing overcapacity and reducing patient wait times, Endeavour AI helps lower operational costs while ensuring efficient use of hospital resources.
In diagnostics, AI-based medical imaging, particularly in breast cancer screening, enhances cost-effectiveness by prioritizing high-risk cases. This approach reduces the need for follow-up procedures, saving costs in both diagnostic and ongoing care.
Furthermore, early diagnosis facilitated by AI lowers treatment costs by catching conditions at more manageable stages. For instance, early detection in breast cancer through AI-supported imaging allows for less intensive treatment, reducing both treatment expenses and hospital stays.
In preventive care, predictive AI models identify patients at risk for chronic conditions like diabetes and hypertension, enabling timely interventions that reduce the likelihood of complications. This proactive approach decreases long-term healthcare costs by minimizing emergency visits and hospitalizations associated with chronic diseases.
Lastly, predictive AI tools assessing patient readmission risk help hospitals reduce readmission rates. By lowering the frequency of repeat hospital stays, AI not only improves patient outcomes but also reduces the overall burden and cost on healthcare facilities.
These applications demonstrate AI’s strategic role in enhancing cost-effectiveness throughout Singapore’s healthcare system, fostering a more sustainable and accessible model of care.
Cost Savings Enabled by AI in Healthcare
- 10-20% Reduction in Hospital Operational Costs:
Endeavour AI optimizes patient flow and bed management, reducing hospital operational costs by preventing overcapacity and minimizing patient wait times. - 25% Savings in Diagnostic Costs:
AI-driven imaging, especially in breast cancer screening, prioritizes high-risk cases, reducing unnecessary imaging and follow-up procedures and lowering diagnostic expenses by up to 25%. - 30-40% Reduction in Treatment Costs Through Early Detection:
Early diagnosis enabled by AI reduces late-stage treatment costs, with technologies like AI-supported breast cancer detection helping lower treatment expenses and shorten hospital stays. - 30% Savings in Long-Term Healthcare Costs:
Predictive AI models for chronic conditions like diabetes and hypertension enable preventive interventions, cutting long-term healthcare costs by reducing emergency visits and hospitalizations. - 25% Reduction in Readmission Rates:
AI tools assessing patient readmission risk decrease hospital readmission rates by up to 25%, improving outcomes and reducing costs associated with repeat hospital stays
Key Areas of AI Adoption in Singapore’s Healthcare
AI has seen rapid adoption in various aspects of Singapore’s healthcare system. The government’s National AI Strategy (NAIS) emphasizes AI’s role in improving healthcare outcomes and operational efficiency. The following chart shows key areas where AI adoption is making strides, each contributing to a more robust and efficient healthcare system:
| Clinical Area | AI Application | Benefits | Example Project |
|---|---|---|---|
| Medical Imaging | AI for X-ray, CT, and MRI analysis | Faster diagnosis, improved accuracy, prioritization of cases | SELENA+ for diabetic retinopathy |
| Predictive Diagnostics | Early prediction models for chronic diseases | Preventive care, reduced progression, enhanced outcomes | JARVIS-DHL |
| Operational Efficiency | Patient flow and bed management | Streamlined operations, reduced waiting times | Endeavour AI |
| Chronic Disease Management | Remote monitoring and alert systems | Improved adherence, reduced readmissions | Synapxe Digital Health Projects |
| Aging Population and Elderly Care | Remote monitoring, fall detection, social robots | Enhanced safety, proactive care, reduced loneliness | Home Monitoring for the Elderly (HoME) |
| Public Health | Health surveillance, wellness chatbots | Early detection, personalized preventive care | HealthHub app |
| Dentistry and Orthodontics | AI-driven dental treatment planning and diagnostics | Personalized treatment plans, enhanced diagnostic accuracy, streamlined workflows | EM2AI’s AI-Powered Dental Solutions |
1. AI in Medical Imaging and Diagnostics
AI is making a major impact in healthcare diagnostics, especially in medical imaging, where it helps Singaporean hospitals detect diseases faster and more accurately. For example, Lunit INSIGHT CXR is an AI tool used to analyze chest X-rays and identify conditions like lung cancer and tuberculosis, enabling radiologists to prioritize urgent cases. Similarly, SELENA+ by the Singapore National Eye Centre detects diabetic retinopathy, glaucoma, and macular degeneration with over 90% accuracy, allowing for early intervention to prevent vision loss.
Beyond imaging, AI tools analyze genetic and clinical data to identify risks for chronic diseases. In Singapore, predictive models like JARVIS-DHL screen for conditions such as diabetes and hypertension, particularly among older populations. By spotting health issues early, these tools support preventive care and prompt treatment.
2. AI in Predictive Diagnostics
Predictive diagnostics is a transformative area in AI healthcare, enabling a proactive rather than reactive approach to patient care. AI models, such as those developed under Singapore’s JARVIS-DHL initiative, analyze patient data to predict the risk of chronic diseases. This initiative focuses on conditions like diabetes, hypertension, and high cholesterol, allowing healthcare providers to intervene early and support patients in making lifestyle adjustments before these diseases progress.
Through predictive diagnostics, Singapore aims to reduce the prevalence of chronic diseases, cut healthcare costs, and improve long-term health outcomes. The table below shows the projected impact of predictive diagnostics by 2030, with anticipated reductions in disease progression rates and healthcare costs:
| Metric | 2024 | 2030 (Projected) |
|---|---|---|
| Chronic Disease Cases (in thousands) | 180 | 130 |
| Cost of Chronic Disease Treatment (SGD million) | 650 | 450 |
| Average Disease Progression Rate | 20% decrease | 35% decrease |
By investing in predictive diagnostics, Singapore is making strides toward a more efficient healthcare system that not only reduces costs but also empowers individuals to take preventive actions for a healthier future.
3. AI in Hospital Operations
Singapore’s hospitals are leveraging AI to boost operational efficiency and enhance patient care. Endeavour AI by NUHS tracks real-time bed availability, allowing quick resource allocation to minimize wait times and avoid overcrowding. At TTSH, an AI-driven Bed Management System dynamically updates bed assignments, improving patient flow across departments. Synapxe’s OR Scheduling optimizes operating room use, reducing delays by analyzing surgeon availability and patient needs.
In the emergency department, Changi General Hospital’s Predictive Triage System prioritizes urgent cases, ensuring critical patients receive timely care. SmartHealth Predictive Analytics by IHiS forecasts patient demand, helping hospitals stay prepared during busy periods, while Note Buddy by SingHealth automates documentation, allowing clinicians to dedicate more time to patients.
4. Chronic Disease Management Through AI and Remote Monitoring
Singapore’s healthcare system is leveraging AI and remote monitoring to better manage chronic diseases like diabetes, hypertension, and heart disease. These technologies enable early detection, allowing providers to intervene promptly and reduce hospital readmissions.
JARVIS-DHL identifies at-risk individuals for early intervention, while remote monitoring tools like blood pressure devices and CGMs alert doctors to abnormal readings, supporting home-based care. Synapxe’s Digital Health Projects further advance chronic care with initiatives like Health Discovery+ for monitoring vitals remotely and the DEMO program for hypertension, which combines home monitoring with teleconsultations to reduce clinic visits.
AI-powered wearables track respiratory health and detect heart issues, while tele-rehabilitation programs help stroke patients recover at home. These tools make chronic disease management proactive and accessible, improving outcomes and easing the load on healthcare facilities.
5. Aging Population and Elderly Care with AI and Remote Monitoring
As Singapore’s population ages, AI and remote monitoring technologies are becoming essential in enhancing elderly care, promoting safety, and supporting independent living.
Home Monitoring for the Elderly (HoME) provides seniors with wearable devices that track vital signs, detect falls, and send real-time alerts to caregivers, ensuring prompt responses during emergencies.
Kebbi, a social companion robot, engages seniors in daily activities, offers cognitive support, and reminds them about medications, helping to reduce loneliness and improve mental well-being.
For those with chronic conditions, remote monitoring tools like blood pressure and glucose trackers enable continuous health tracking, allowing early intervention and reducing hospital admissions.
These AI-driven solutions make elderly care in Singapore more proactive, enhancing safety, independence, and overall well-being for seniors.
6. Public Health and Preventive Care with AI and Digital Tools
AI and digital health tools are enhancing Singapore’s public health efforts by providing personalized, preventive care and improving health monitoring at the population level. Through platforms like the HealthHub app, Singapore’s residents have access to health resources, personalized health recommendations, and vaccination reminders, all designed to promote proactive health management.
The HealthHub app also integrates health surveillance capabilities, tracking health trends to detect potential public health issues early. Additionally, wellness chatbots within the app offer users advice on maintaining a healthy lifestyle, answering questions on nutrition, exercise, and mental health. By using AI for health education and preventive care, Singapore is empowering its citizens to take control of their health, reducing the burden on the healthcare system and fostering a healthier population.
7. AI in Dentistry and Orthodontics:
AI is transforming dentistry and orthodontics by making diagnostics faster and treatment more personalized. AI tools analyze X-rays to detect issues like cavities, gum disease, and bone loss with high accuracy, allowing dentists to focus on patient care instead of manual reviews.
In orthodontics, AI helps create customized treatment plans by analyzing patient data and predicting outcomes. For example, AI can monitor clear aligner progress and adjust recommendations as needed, reducing the need for frequent visits and enhancing patient satisfaction.
Singapore’s EM2AI is leading in this field with its EM2Clinic platform, which uses AI to streamline diagnostics and automate dental charting, helping dentists manage patient data efficiently.
AI’s role in dentistry and orthodontics is setting new standards for care—making treatments faster, more accurate, and tailored to individual needs.
AI in Healthcare Opportunities
Singapore has made notable advancements in AI-driven healthcare. There are several emerging opportunities for startups to pioneer new solutions that enhance patient care, streamline operations, and improve health outcomes. By capitalizing on AI’s potential, startups can lead the way in developing innovative healthcare technologies that address emerging needs in the region.
AI-Driven Drug Discovery and Personalized Medicine
AI has the potential to revolutionize drug discovery and personalized medicine by developing customized treatment plans that integrate genetic, lifestyle, and environmental data. Companies like Atomwise and Insilico Medicine are leading advancements in this field, using AI to accelerate drug design and identify effective therapies. However, there remains a significant opportunity to develop platforms that continuously adapt to a patient’s evolving health profile, integrating real-time data from genetics, biomarkers, and environmental exposures.
These advanced AI systems could transform healthcare by predicting patient-specific responses to treatments, allowing doctors to select the most effective, least harmful options. Such predictive insights would be particularly valuable for complex diseases, enabling preemptive adjustments to therapies based on anticipated side effects or genetic responses. As these technologies mature, they could drastically reduce the time and costs associated with traditional drug development and enhance treatment precision, shifting medicine towards a highly personalized, data-driven approach that maximizes patient outcomes.
AI-Powered Robotics in Surgery
AI-powered robotics in surgery is redefining precision and efficiency, enhancing procedural accuracy and patient recovery. By merging AI’s analytical strength with robotic precision, these systems generate detailed 3D maps from preoperative scans, guiding surgeons with remarkable accuracy. This enables minimally invasive procedures, reducing tissue damage and speeding recovery. Additionally, AI-driven robotics offer real-time decision support during surgery, providing insights into factors like tissue resistance and blood flow, allowing surgeons to make precise adjustments that improve outcomes and reduce complications.
A significant opportunity also lies in remote surgery capabilities through tele-operated robotic platforms. These systems allow skilled surgeons to perform operations on patients in remote or underserved areas, expanding access to specialized care worldwide. As AI technology advances, this remote capability could bridge critical gaps in healthcare, particularly for patients in rural or developing regions.
Lastly, AI-driven robotics support surgical efficiency and skill development by automating routine tasks, freeing surgeons to focus on complex aspects. This can lead to shorter surgeries and reduce surgeon fatigue. Additionally, AI-powered simulations offer realistic training environments for surgical trainees, providing immediate feedback to accelerate skill acquisition and ensure new surgeons are well-prepared, ultimately improving surgical outcomes on a broader scale.
AI-Driven Mental Health Assessment and Therapy
AI is opening new possibilities in mental health by providing personalized assessment and therapy tools that can offer timely, accessible, and adaptive care. Through natural language processing and machine learning, AI can analyze speech patterns, text inputs, and even facial expressions to identify signs of mental health conditions like depression, anxiety, and PTSD. These tools can offer initial assessments and ongoing monitoring, enabling early intervention and more accurate tracking of mental health trends over time.
In therapy, AI-driven platforms can provide customized support through chatbots and virtual assistants that engage users in cognitive behavioral therapy (CBT), mindfulness exercises, and other evidence-based interventions. These systems are designed to offer real-time guidance and reinforcement, supporting individuals between traditional therapy sessions or as a standalone tool for those who may not have access to a therapist. By adapting responses based on user feedback and engagement, AI can deliver a more personalized and supportive mental health experience.
AI’s role in mental health extends to analyzing large datasets to help identify trends and risk factors, which can enhance preventive care and tailor therapy programs to specific populations. By using these insights, healthcare providers and researchers can better understand mental health patterns, enabling a more proactive approach to mental wellness. As AI-driven assessment and therapy tools evolve, they have the potential to make mental health support more accessible, adaptable, and responsive to individual needs, helping bridge existing gaps in mental healthcare.
AI in Orthodontics
AI is significantly enhancing dentistry and orthodontics by improving diagnostics, treatment planning, and patient outcomes. In diagnostics, AI algorithms analyze dental X-rays, 3D scans, and intraoral images to detect issues like cavities, gum disease, and orthodontic concerns with high precision, enabling early intervention and preventive care.
In orthodontics, AI-driven software creates detailed 3D models of patients’ teeth and jaws, facilitating the design of customized braces or clear aligners. This technology allows orthodontists to simulate tooth movements and adjust treatments in real time, leading to more efficient and personalized care. For instance, OrthoSelect’s DIBS AI® platform automates case setups and provides predictive outcomes, streamlining the treatment process and enhancing accuracy.
Additionally, AI-powered mobile applications engage patients by offering oral hygiene guidance, appointment reminders, and progress tracking for orthodontic treatments. By integrating AI into dental practices, the industry is moving towards more data-driven, efficient, and patient-centered care.
AI-Enhanced Wearable Technology and Remote Monitoring
AI-enhanced wearable technology is revolutionizing healthcare by enabling continuous, real-time monitoring and personalized health insights. Wearables such as smartwatches, fitness trackers, and medical-grade devices collect data on vital signs, activity levels, and sleep patterns. By integrating AI, these devices can analyze data instantly to detect anomalies, identify health trends, and provide predictive insights, helping users manage health proactively. For example, AI algorithms can assess heart rate variability to predict cardiovascular risks or monitor glucose levels for diabetes management, allowing for earlier intervention and improved outcomes.
In remote monitoring, AI-driven wearables empower healthcare providers to track patients’ health from a distance. This is particularly valuable for managing chronic conditions like heart disease, diabetes, and respiratory disorders, where consistent monitoring can prevent complications. AI can alert healthcare providers to concerning trends in a patient’s data, prompting timely intervention without the need for frequent in-person visits. This approach improves accessibility to care, reduces hospital readmissions, and helps maintain patients’ health more effectively in the comfort of their homes.
Moreover, AI-enhanced wearables are expanding the scope of preventive care. By collecting data on a large scale, AI can identify population health trends and potential health risks within specific demographics, enabling a more targeted public health approach. As these devices become more advanced and widely adopted, AI-driven remote monitoring has the potential to make healthcare more personalized, proactive, and accessible, reshaping the way health is managed across diverse populations.
Funding Opportunities for AI in Healthcare in Singapore
Singapore actively supports AI in healthcare through targeted funding, research partnerships, and venture capital opportunities. This approach fosters innovation, helping startups, research institutions, and established companies develop AI solutions for better health outcomes, cost efficiency, and operational improvements.
AI Singapore’s 100 Experiments (100E)
Key Details
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Funding Size: Up to SGD 180,000 per project, with the organization providing in-kind resources and cash contributions.
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Project Timeline: Each project spans around 7 months, aimed at developing a minimum viable AI model that can be integrated into the organization’s workflows.
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Project Description:
- Defines a specific AI problem with a clear goal.
- Involves collaboration with AI Singapore’s team to design and build the AI model.
- Focuses on achieving measurable outcomes that align with industry needs.
Eligibility Criteria
- Must be a Singapore-registered entity with an engineering, IT, or AI team (or plans to build one).
- Should have a well-defined problem statement, access to relevant data, and a clear business or strategic value.
- Committed to providing resources, such as domain experts, technical support, and partial funding.
Target Audience
- Open to various industries, especially healthcare (e.g., hospitals, medical research centers, health tech companies).
- Suitable for organizations needing AI solutions for diagnostics, predictive analytics, patient management, etc.
Application Process
- Submit a Proposal: Outline the AI use case, expected impact, available data, and resource commitment.
- Follow Guidelines: Use templates provided by AI Singapore to ensure a strong application.
- Review and Approval: Proposals are assessed for alignment with program goals and feasibility.
Credit: AI Singapore 100E Experiments
Startup SG Founder
Key Details
Funding Size: Provides a startup capital grant of SGD 50,000, with founders required to co-match SGD 10,000 in cash.
Project Timeline: Designed for early-stage startups to kickstart operations and validate business concepts.
Project Description:
- Supports first-time entrepreneurs with innovative ideas.
- Offers guidance through appointed Accredited Mentor Partners (AMPs) for initial support.
- Aims to help startups build a minimum viable product (MVP) and validate their business model in the market.
Eligibility Criteria
- First Applicant:
- First-Time Founder: Must have no prior ownership of a Private Limited company registered with ACRA.
- Employment: Must be fully committed to the startup, with no external employment.
- Entrepreneurship Training: Must have completed entrepreneurship training with supporting documentation.
- Equity: If a first-time founder, must collectively hold a minimum of 30% equity with the second applicant.
- Commitment: Must be a key decision-maker with a significant role in the company.
- Second Applicant:
- Need not be a first-time founder.
- May be employed externally and need not commit full-time to the company.
- Must have entrepreneurship training or prior experience with supporting documentation.
- Both applicants must hold equity and contribute meaningfully to the startup.
Co-Matching Requirement
- Applicants must provide a co-matching paid-up capital in a 1:1 ratio to match the grant amount applied for.
Eligibility Criteria for Startups
- Must be a Private Limited entity in Singapore registered for less than 6 months at the time of application.
- Must not have received funding from other government organizations for the same business idea.
- Must have at least 51% of shares owned by Singapore Citizens or Permanent Residents.
- Core HQ functions (e.g., management, product development) should be primarily based in Singapore.
- Business ideas in specific sectors (e.g., cafes, bars, night clubs, reflexology, gambling) are excluded from eligibility.
Target Audience
Ideal for aspiring entrepreneurs with new, innovative ideas in any industry. Especially useful for founders in tech, AI, or healthcare looking to establish a strong foundation.
Application Process
- Submit an application via AMPs: Startups must submit their proposal to an AMP, which will assess feasibility.
- Follow Program Guidelines: AMPs guide applicants to strengthen their business plan and prepare for funding.
- Approval Process: AMPs review proposals, and selected startups receive mentorship and funding.
Full Details about SG Startup Founder
Credit: StartupSG
Startup SG Tech
Key Details
- Funding Size: Up to SGD 250,000 for Proof-of-Concept (POC) projects and up to SGD 500,000 for Proof-of-Value (POV) projects.
- Project Timeline: Projects span up to 24 months, focused on proving technical feasibility (POC) or commercial viability (POV).
- Project Description: Supports innovative technology solutions that demonstrate a high level of technical novelty and commercial potential.
Eligibility Criteria
- Solution Requirements:
- Clearly applies science or technology in an innovative way.
- Demonstrates breakthrough innovation (i.e., creates or disrupts a market).
- Leads to or builds on proprietary know-how or intellectual property (IP).
- Shows commercial viability.
- Applicant Requirements:
- Must be a Singapore-registered startup, established within the past 10 years.
- At least 30% local ownership.
- Not a subsidiary of a corporate entity (parent entity must hold <50% ownership).
- Group turnover should not exceed SGD 100 million, or employment should be under 200 workers.
- Core R&D activities must take place in Singapore.
- Main applicant must play an active role in the company, not just as a shareholder.
- Qualifying Projects:
- Proof-Of-Concept (POC): Projects at the conceptual stage that need to demonstrate technical/scientific viability. Startups must increase paid-up capital by 10% of the POC grant.
- Proof-Of-Value (POV): Projects with an established POC that aim to develop a working prototype and validate commercial interest. Startups must increase paid-up capital by 20% of the POV grant.
Targeted Project Areas
Eligible projects should fall under one of the following areas:
- Advanced Manufacturing/Robotics (e.g., industrial IoT, AR/VR in manufacturing)
- Biomedical Sciences and Healthcare (e.g., medical devices, digital health)
- Clean Technology (e.g., water tech, waste management)
- Information & Communications Technologies (e.g., 5G, AI)
- New Industries (e.g., blockchain, quantum tech)
- Precision Engineering (e.g., sensors, lasers)
- Transport Engineering/Engineering Services (e.g., automation, offshore renewables)
- Food Science and Technology (e.g., food safety, packaging)
- Agritech (e.g., urban agriculture, regenerative agriculture)
Application Process
- Submit Proposal: Present the POC or POV project with a clear problem statement, expected impact, and resource allocation.
- Guidelines Compliance: Follow specific templates provided by Startup SG Tech.
- Review and Approval: Proposals are evaluated based on innovation, feasibility, and alignment with program objectives.
Full Details about Startup SG Tech
Credit: StartupSG
Conclusion
Singapore’s commitment to AI in healthcare highlights a future where technology and medicine work hand-in-hand to improve patient care and address complex health challenges. Through initiatives like the National AI Strategy 2.0 and various funding programs, the nation is building an ecosystem that encourages AI-driven innovation across diagnostics, remote monitoring, hospital operations, and personalized medicine, setting a global example in efficiency and preventive care.
Companies with expertise in web development and digital solutions especially in AI and Healthcare are increasingly essential as the healthcare sector embraces these technologies. By developing seamless, secure, and user-focused platforms, they contribute to more accessible and integrated digital healthcare experiences. With a strong ecosystem of tech and healthcare partners, Singapore’s AI healthcare journey not only promises improved patient outcomes and efficiency but also redefines the potential of technology to support the future of healthcare in the region and beyond.
About Healthcare Transformation with AI Guide
Authored by Kam Ling Fong, Business Development Lead for APAC region at Scopic.
Scopic provides quality and informative content, powered by our deep-rooted expertise in software development. Our team of content writers and experts have great knowledge in the latest software technologies, allowing them to break down even the most complex topics in the field. They also know how to tackle topics from a wide range of industries, capture their essence, and deliver valuable content across all digital platforms.
Note: This blog’s images are sourced from Unsplash
