LifeScan AI is the independent validation layer that gives hospitals confidence before deploying AI diagnostic tools in clinical settings.
BUILT FOR HONG KONG · SINGAPORE · AUSTRALIA · SE ASIA
Your hospital has invested in AI diagnostic tools. They're powerful. But every new tool introduces risk: Will it work in your environment? Can you trust it with your patients? How do you validate before deployment?
US- or EU-trained models frequently underperform on APAC patient populations, local equipment protocols, and regional imaging standards. Lab accuracy ≠ clinical accuracy.
Delayed AI adoptionVendors provide accuracy claims. Regulators require validation. Radiologists need assurance. There is no independent infrastructure to bridge that gap — until now.
Liability exposureClinicians are being asked to trust AI they cannot independently verify. Without a rigorous validation layer, radiologist confidence in AI tools — and patient safety — is at risk.
Lost competitive advantageLifeScan AI is the trusted verification layer for hospital-deployed diagnostic AI tools. We don't build diagnostic AI. We validate it — in your environment, against your patients, your protocols.
Test any AI tool against your hospital's imaging data, protocols, and patient demographics — in your environment, not a lab. No clinical workflows disrupted.
Validation is not a one-time event. LifeScan provides ongoing monitoring dashboards that flag model drift and performance changes over time.
Generate clinical validation reports aligned with FDA 510(k), CE marking, TGA, and Hong Kong Hospital Authority pathways. Evidence regulators actually accept.
Validate multiple AI tools across your multi-site hospital network with a single partner engagement. One validation methodology, consistently applied.
A structured, repeatable process that delivers validation evidence in weeks — not the months of internal studies.
You provide anonymized imaging datasets from your environment. We integrate your chosen AI tool into our validation platform. We map your imaging protocols, PACS/RIS infrastructure, and clinical workflows. No disruption to live clinical operations.
We run a rigorous, blinded clinical validation study using your data, your patient demographics, your imaging protocols. Your radiologists review findings independently. Performance metrics emerge from real-world conditions — not lab data.
You receive a comprehensive clinical validation report: performance summaries, confidence intervals, safety assessments, edge case analysis, and failure mode documentation. Built to satisfy FDA, CE, TGA, and HKHA standards.
Three distinct teams within APAC hospitals need AI validation — and each needs it framed differently.
Stop relying solely on vendor accuracy claims. LifeScan provides independent performance evidence that supports AI purchasing decisions — and satisfies procurement governance requirements. Outcomes-based, site-specific, defensible.
A peer-reviewed, independent second opinion on your AI tools. LifeScan validates AI performance against your patient population — so your radiologists can trust what the AI surfaces, and confidently override when needed.
Integrates with existing PACS and RIS systems without disruption. LifeScan provides the technical bridge between AI vendor APIs and your hospital's imaging infrastructure — including API documentation for PACS integration.
Diagnostic AI adoption is accelerating across APAC. Hospitals in Hong Kong, Singapore, Australia, Japan, and South Korea are moving fast — but they need validation that respects local regulatory frameworks and clinical practices.
We understand HKHA, MHRA (UK), TGA (Australia), CE marking (Europe), and FDA pathways — and how they intersect with Hong Kong and APAC regional frameworks.
Validate against local imaging protocols, equipment vendors (Siemens, GE, Philips, Canon), and patient populations unique to APAC — not US or EU reference populations.
Our validation methodology centers radiologist workflow and judgment — not just algorithmic accuracy scores. Clinicians stay in control throughout every validation study.
Validate tools across multi-site hospital networks — HK Hospital Authority, IHH, Raffles, Gleneagles, Bumrungrad — with a single, consistent engagement model.
We're working with a small group of APAC hospitals and radiology departments. Register to be part of the first validation cohort.
We'll be in touch soon. We're working with a small cohort — every registration gets a personal response.