At AI Accelerate 2025, the National HealthTech Agency, Synapxe, spotlighted eight innovative GenAI solutions developed under the GenAIus Challenge, a programme that empowers public healthcare professionals to co-create AI tools with leading technology partners.
Previously, in Part 1 of our GenAIus Challenge innovations article, we featured three notable projects that were unveiled at the conference on 16th June 2025 (read it here). In this second and final part, we highlight the remaining five GenAI-powered projects, each demonstrating how GenAI can be harnessed to improve decision-making, streamline workflows and personalise patient care.
ProcScout by ALPS
In healthcare procurement, sourcing for the right vendors can often be a tedious and long-drawn process. To address this, the ALPS Procurement team developed ProcScout, an advanced AI-powered search engine that automates the identification and evaluation of suppliers for medical equipment and services.
Instead of scouring trade websites or relying on conventional search engines, procurement officers can now use ProcScout to quickly locate quality vendors, compare offerings and make informed decisions. Overall, ProcScout enhances both efficiency and accuracy in the procurement process, ensuring better acquisition outcomes for the healthcare system.
AuralBridge by Sengkang General Hospital (SKH)
AuralBridge is a tool that uses the speech-to-speech GenAI technology that streamlines the hearing aid evaluation process, demonstrating strong synergy between AI capability and human-centred design. It reduces waiting times to obtain hearing aids and empowers patients with customised insights about their hearing condition and available treatment options.
With AuralBridge, educational content in the form of audio, visuals and text makes all the essential information easy to access especially for patients with sensory needs.
Palliative Care Intelligent Assistant by National University Health System (NUHS)
The Palliative Care Intelligent Assistant is a chatbot that uses Machine Learning (ML) and GenAI technology to equip physicians with real-time mortality predictions, enabling them to tailor treatment plans and educational content for patients based on the predicted prognosis.
This chatbot can provide guiding support to oncologists and haematologists in making informed decisions about the extent of care that patients need, whether patients require further investigations, and what resources need to be activated.
Furthermore, the Palliative Care Intelligent Assistant facilitates crucial discussions between patients and their loved ones about end-of-life management preferences, which aligns with the Ministry of Health’s commitment to enhancing patient outcomes at the end of life.
Lung Function Test (LUFT) Chatbot by National Healthcare Group (NHG) and Synapxe
The LUFT chatbot, co-developed by NHG and Synapxe, simplifies the experience of undergoing a lung function test, in which scheduling, preparing for, and following up on lung function tests can be complex and time-consuming. The chatbot provides patients with timely, easy-to-understand instructions and preparation tips, thereby streamlining the process.
By answering patient queries and offering guidance before, during and after the test, the chatbot helps reduce anxiety and delays, while improving compliance with the lung function test procedures. LUFT is an example of how GenAI can enhance both clinical efficiency and patient empowerment.
AI-Driven Adaptive Patient Teaching (ADAPT) by SingHealth HQ
Today, patients and their next-of-kin depend largely on doctors, allied health professionals or nurses for guidance on managing their medical conditions after discharge. The ADAPT platform enables clinicians to efficiently curate relevant educational resources tailored to a patient’s diagnosis and medical history, allowing patients and their next-of-kin to seek clarification independently.
Overall, ADAPT improves post-discharge self-management while reducing the labour burden on healthcare providers, supporting both personalised learning and healthcare sustainability if implemented.
Conclusion
The five AI projects featured in this article, and the three that were spotlighted in Part 1, are promising prototypes developed through the GenAIus Challenge, an initiative by Synapxe that encourages talented and skilled healthcare professionals to explore the various ways GenAI can address the gaps in healthcare today.
While these prototypes are in the early stages of development, they demonstrate the potential of GenAI to improve clinical workflows, patient experience and healthcare delivery. The showcase of these projects at AI Accelerate 2025 is also a testament to the power of collaboration between healthcare and tech professionals. As trials and evaluation of these projects continue, Synapxe remains committed to supporting innovation in healthcare, as well as shaping a smarter, safer, and more sustainable future.
At Synapxe, we remain committed to empowering the public healthcare sector to explore and solve real-world challenges using the latest advancements in AI. As these projects continue through trials and evaluation, we will continue to encourage and enable innovation that is technologically advaced and deeply rooted in enhancing the patient and clinician experience in healthcare.
Find out more about our Health AI projects here.
