Business ConsultingOphthalX — retinal imaging
Diabetic retinopathy screening across several retinal imaging modalities at camp scale.
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Enterprise AI for healthcare providers and payersFewer denials. More time to care.
Prior auth, claims, scheduling and imaging, handled by AI. A clinician says GO or NO-GO on every decision.
3imaging models: retinal, chest, mammography
2–4 wksper use case on IntelliMesh
100%of clinical decisions human-gated
The challenge
What's in the way
Denials and slow prior auth
Coding gaps and payer criteria checks delay authorizations and push up days in A/R.
Scarce specialists
Screening programmes need radiologists and ophthalmologists who are not available at camp scale.
Disconnected patient journeys
Scheduling, reminders and follow-up run in separate tools, so adherence drops.
Focus use cases
What we automate
Claims Processing & Fraud
Identify fraudulent claims and optimize claim processing.
Patient Scheduling
Constraint-solving models that optimize schedules across locations.
Smart Health Predictions
Risk models for cancer, heart ailments and fertility outcomes.
Patient Engagement
Medication adherence reminders and personalized wellness rewards.
Also in the libraryTicket triagingFeedback boothsDocument extractionEarly signal detectionFace-mask detectionCrowd analysis
Teammate swarm
Prior-Auth & Claims Swarm
Eligibility AgentVerifies coverage and benefits
Coding AgentCodes notes with evidence links
Policy AgentTests the chart against payer criteria
Denial AgentFinds root causes and drafts appeals
Human gateClinician GO / NO-GO; coder review of low-confidence codes
KPIsDenial rate · days in A/R · auth turnaround
From the IntelliMesh use-case lab
More, ready to go
PulmoX — chest imaging
Chest X-ray and CT analysis for classification, segmentation and prediction.
OncolX — cancer screening
Mammography triage into benign, malignant and normal cases.
Self-Care & Teleconsult Assistant
Telemedicine with a prognosis engine, e-prescriptions, scheduling and a chatbot.
Built on acceleratorsComputer Vision & Document AI · Multimodal AI · Enterprise RAG & Knowledge · On-Device Small Language Models
Use cases and accelerators co-developed with our US partner Mintmore Inc. See mintmore.us.
Solution brief · Healthcare
AI screening and the prior-auth swarm
Providers, payers and screening programmes
Vision models screen retinal, chest and breast images at camp scale. A prior-auth swarm cuts denials. A clinician approves every decision.
Denial rateprimary KPI
Days in A/Rprimary KPI
Auth turnaroundprimary KPI
Inside the PDF (7 pages, 4.1 MB)3-page solution brief: problem, approach, impact and the teammate swarm4 slides from the IntelliMesh.si Platform Overview and Teammate Swarm decksHow we engage: the 10·20·30 Pathway
Start the 10·20·30 Pathway
Prove it on your Healthcare data in 20 days
Other industries
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Questions
Healthcare AI, answered.
How does AI help healthcare revenue cycle management?
flock3 teammates process claims, detect fraud, prepare prior authorizations and reduce denials, so staff spend less time on paperwork and more on care.
Does Vera offer medical imaging AI?
Yes. Models screen retinal images for diabetic retinopathy, classify chest X-ray and CT scans, and triage mammograms as benign, malignant or normal. A clinician confirms every result.