Lunit Advances Singapore's Healthcare System with AI-Powered Solution for Medical Imaging

Friday, December 01, 2023

Lunit, a prominent provider of AI-driven solutions for cancer diagnostics and therapeutics, has joined forces with NTT DATA Singapore to introduce Lunit INSIGHT CXR to the public healthcare system of Singapore. This collaborative effort involved Lunit working alongside CARPL to supply NTT DATA with Lunit INSIGHT CXR, subsequently delivered by NTT DATA to Synapxe, Singapore's national health-tech agency. The strategic partnership aims to seamlessly integrate this solution into the clinical radiology workflow of Singapore General Hospital (SGH) and Changi General Hospital (CGH), both distinguished public hospitals with over 1,000 beds, and members of SingHealth, Singapore's largest group of public healthcare institutions.

The implementation of Lunit INSIGHT CXR in the chest X-ray workflow at these hospitals seeks to improve the efficiency of chest screening while delivering innovative medical services with enhanced accuracy. The collaborative project, AimSG, involves Synapxe, SingHealth, Lunit, NTT DATA, and partners DeepTek and CARPL, with support from Singapore's Ministry of Health (MOH) and Smart Nation Singapore. AimSG enables public healthcare institutions to seamlessly integrate AI imaging solutions, like Lunit INSIGHT CXR, into their existing clinical radiology workflows, enhancing diagnostic capabilities and operational efficiency for medical professionals. It acts as a facilitator for public healthcare institutions in Singapore to validate and deploy credible AI imaging models, whether developed within the healthcare ecosystem or sourced from industry partners. AimSG, being an open and vendor-neutral platform, caters to various use cases applying AI to clinical images, including chest X-rays, mammograms, cardiac CT scans, and more.

By leveraging the AimSG platform, clinicians in public healthcare institutions can deploy AI algorithms, contributing to the delivery of improved healthcare services. This initiative aligns with the goals of preventive, predictive, and personalized medicine. Integrating AI solutions directly into the clinical workflow has the potential to advance the interpretation and diagnosis of chest diseases, potentially expediting patient care while alleviating the burden on healthcare professionals.