Shriram Finance
less than 3–4 hours — Onboarding Turn-Around-Time (TAT)
Independently reportedBanking & finance · Process automation · Classical ML · In production
Process automation
St. Luke’s Radiation Oncology Network · MVision AI
Vendor-reportedHealthcareIrelandScaledPublic sectorComputer vision
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 mvision.ai (vendor self-report). Checked against the source page on 2026-09-06. 5 of 5 figures below appear on that page word for word.
The problem
Increased case complexity resulting in rising contouring times for complex sites such as head and neck or thorax, and high staff workloads limiting training opportunities.
What was deployed
- Vendor
- MVision AI
- Products
- GBS™, Contour+, Guide, Verify
- Technique
- Computer vision
- Build or buy
- Bought off the shelf
- Deployment
- SaaS
- Scale
- treats over 5,500 patients each year across three sites in Dublin; Contour+ implemented across all patient cohorts in a single coordinated launch across the network
What changed
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.
up to 70%time savings for head and neck, abdomen, and thoracic cases
“In real-world practice, we saw up to 70% time savings for head and neck, abdomen, and thoracic cases.”
Quoted word for word from the source · round percentage, no baseline given
9.7 working hours soonertreatment plan readiness time
“With Contour+ in place, treatment plans were, on average, ready 9.7 working hours sooner across all clinical patient groups”
Quoted word for word from the source
10% fastertreatment plan readiness speed relative to targeted workflow KPIs
“around 10% faster than targeted workflow KPIs.”
Quoted word for word from the source · round percentage, no baseline given
8% moretreatment plans ready at least two working days earlier
“Furthermore, 8% more treatment plans were ready at least two working days earlier compared to the period before Contour+ was implemented.”
Quoted word for word from the source
approximately 200Patients per year who could begin treatment earliereach year
“When scaled to their patient population, this translated to approximately 200 patients each year who could potentially begin treatment earlier.”
Quoted word for word from the source
“In real-world practice, we saw up to 70% time savings for head and neck, abdomen, and thoracic cases. The real-world results matched or even exceeded what manual timing studies have previously reported. We were delighted, especially considering the added complexities of the real clinical environment with frequent interruptions and constant multi-tasking.”
Difficulties and limits
- Increased case complexity resulting in rising contouring times for complex sites such as head and neck or thorax
- Growing need for radiotherapy for cancer treatment leading to increased patient volumes
- Fixed CT-to-treatment schedules linked to KPIs, which limited the ability to translate contouring time savings into earlier treatment starts
- High staff workloads resulting in limited opportunities for regular in-person registrar workshops
- Staff working across different sites within the network, creating a need to ensure consistency
- Diverse mix of treatment technologies (Varian TrueBeams, Elekta Trilogies, and Varian Clinacs) along with multiple planning systems (Eclipse, Monaco, and OMP) created technical complexity
Sources
- mvision.ai — vendor self-report, 2025-06-27
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