University of Notre Dame Australia (PANACEA-HF program) · Us2.ai
zero — Imaging failure rates
Vendor-reportedHealthcare · Diagnostics · Computer vision · Pilot
Artificial intelligence, professionally covered
Diagnostics
Vendor-reported. The customer is named and the numbers are quoted from the source page, but the account comes from the vendor. No independent confirmation.
Reported by rapidinnovation.io (vendor self-report). Checked against the source page on 2026-09-06. 2 of 2 figures below appear on that page word for word.
The manual assessment process became increasingly inefficient and time-consuming, limiting the clinic's ability to serve more patients.
Each row is quoted from the source. Figures we could not find on the page in those words are marked — they are kept, not deleted, so you can judge them.
“38% Increase in Remote Assessments”
Quoted word for word from the source
“25% Increase in Patient Retention”
Quoted word for word from the source · round percentage, no baseline given
“Faster Diagnoses”
Quoted word for word from the source
“reduced manual data processing”
Quoted word for word from the source
“Rapid Innovation’s AI solution revolutionized our approach to diagnosing and treating patients. The platform scaled our business while keeping the personalized care we’re known for.”
zero — Imaging failure rates
Vendor-reportedHealthcare · Diagnostics · Computer vision · Pilot
about 10 minutes — diagnosis time
Vendor-reportedHealthcare · Diagnostics · Computer vision · Pilot
five minutes — Time to reconstruct full volume at 1mm resolution on a single GPU
Vendor-reportedHealthcare · Diagnostics · Computer vision · Pilot
30 minutes — Render integration setup time
Vendor-reportedTechnology & software · Diagnostics · LLM · In production
110000 — monthly digital registrations completed
Vendor-reportedHealthcare · Process automation · Classical ML · Scaled · 2022
18000000 — staffing capacity created
Vendor-reportedHealthcare · Customer support · LLM · In production