Medical Imaging &
Diagnostics AI
Sovereign GPU infrastructure, clinical imaging software, and pre-validated AI models for radiology, pathology, and ophthalmology diagnostics — sub-second AI analysis with 95%+ clinical accuracy. ABDM integrated, DPDP compliant, 100% Make in India.
Why Medical Imaging AI, Why Now
India has 1 radiologist per 100,000 people. AI-powered diagnostics can deliver specialist-grade analysis at every district hospital — on sovereign infrastructure.
Target Segments
Government Hospital Networks
Central & state hospitals, AIIMS network, ESI hospitals, district medical facilities
Diagnostic Chains & Imaging
Private diagnostic chains, standalone imaging centres, teleradiology networks
Medical Colleges & Research
Teaching hospitals, medical research institutions, clinical trial imaging
Ophthalmology & Pathology
Eye care chains, diabetic retinopathy screening, digital pathology labs
Defence & Railway Medical
Armed forces hospitals, railway medical centres, CAPF healthcare facilities
Public Health & Screening
NHM, TB screening (RNTCP), cancer screening, NPCDCS, Ayushman Bharat programmes
Full Stack Architecture
Three integrated layers — hardware, clinical software, and diagnostic AI — purpose-built for medical imaging at hospital, network, and national scale.
Intelligence — Clinical AI Models
Chest X-Ray AI · CT Analysis · MRI Segmentation · Pathology AI · Retinal Screening · Mammography
Software — Clinical Imaging Platform
DICOM Engine · PACS Integration · Worklist Manager · AI Reporting · Viewer · ISV Applications
Hardware — RDP Proprietary Infrastructure
AI-POD · Imaging GPU Server · Medical Data Lake · Lossless Fabric · District Edge · HA Cluster
RDP Proprietary Infrastructure
| Component | RDP SKU | Clinical AI Role | Key Specification |
|---|---|---|---|
| Compute Node | RDP AI-POD (Rack Scale) | Primary AI for image processing and model training | 8× GPU per node, NVLink |
| Imaging Server | RDP Medical AI SKU | Real-time inference on radiology and pathology images | L40S / A100 — configurable |
| Medical Data Lake | RDP NVMe All-Flash Array | DICOM archive, PACS storage, AI dataset repository | Up to 500 TB, 10 GB/s |
| Network Fabric | RDP Lossless Fabric | High-bandwidth interconnect for medical imaging | 100GbE / 400GbE |
| District Edge | RDP Inference Edge | District hospital AI for local diagnostic inference | Compact GPU, 24×7 |
Clinical Imaging Platform
Orthanc / DCM4CHEE
Open-source DICOM server for medical image archival
OHIF Viewer
Web-based DICOM viewer for radiology reporting
MONAI / PyTorch Medical
GPU-accelerated medical imaging AI framework
3D Slicer / ITK
Advanced medical image analysis and visualisation
NVIDIA Clara / FLARE
Medical imaging inference and federated learning
ABDM / ABHA Integration
India's digital health ecosystem connectivity
Chest X-Ray AI
TB screening, pneumonia, cardiomegaly, 14+ pathologies
CT Analysis AI
Lung nodule detection, stroke, trauma assessment
Mammography AI
Breast cancer screening, density, BI-RADS scoring
Pathology AI
Whole-slide image analysis, cancer grading
Retinal Screening AI
Diabetic retinopathy and glaucoma from fundus images
MRI Segmentation AI
Brain, cardiac, musculoskeletal auto-segmentation
Pre-Validated Diagnostic AI Models
| Clinical Domain | Model Type | Application | Performance |
|---|---|---|---|
| Chest X-Ray | ResNet / DenseNet | Multi-label pathology detection — 14+ conditions | AUC > 0.95 |
| CT Lung Nodule | 3D CNN | Nodule detection, sizing, malignancy risk scoring | 95% sensitivity |
| Mammography | Multi-View CNN | Breast cancer screening, density, BI-RADS | AUC > 0.90 |
| Retinal Screening | EfficientNet | Diabetic retinopathy & glaucoma from fundus | > 90% sens/spec |
| Pathology | Vision Transformer | Whole-slide cancer grading and classification | > 92% agreement |
| Brain MRI | U-Net / nnU-Net | Tumour segmentation, volumetric analysis | Dice > 0.90 |
Deployment Configurations
Three pre-validated tiers — each with hardware, clinical software, AI models, and RDP SLA support. Custom BOQ on request.
Starter
District Hospital / CHC
Professional
State Hospital Network
Enterprise
National / AIIMS Network
From Image Acquisition to Clinical Report
End-to-end diagnostic pipeline on sovereign RDP infrastructure — every step from scan to signed report.
Acquire
Ingest
Analyse
Diagnose
Generate
Review
Build With Us · Sell With Us
RDP's Medical Imaging platform is designed for India's healthcare ecosystem. We're inviting technology and channel partners, and direct inquiries from healthcare organisations.
Technology Partners
- Certify your clinical AI on RDP GPU infrastructure
- Access medical imaging labs for model validation
- Joint go-to-market with RDP healthcare team
- Co-branded solution briefs for hospital tenders
- DICOM / HL7 / FHIR integration support
Channel Partners
- Sell complete medical imaging AI solutions
- Pre-configured hospital deployment packages
- RDP-backed implementation & SLA support
- Partner margins on hardware + software
- Healthcare sector sales training
Healthcare Organisations
- Schedule a medical imaging AI workshop
- Request a proof-of-concept at hospital level
- Get a custom Bill of Quantities
- Evaluate starter tier at district hospital
- GeM / GFR compliant procurement
India's Sovereign Healthcare AI Infrastructure
Make in India Hardware
All RDP systems designed and assembled in India. GeM-listed for government hospital procurement.
Patient Data Sovereign
Patient imaging data, clinical records, and AI analytics stay on Indian hospital infrastructure. Zero cloud export.
ABDM & ABHA Integrated
Native integration with Ayushman Bharat Digital Mission, ABHA, and India's digital health ecosystem.
Multilingual Reporting
AI-generated diagnostic reports in Hindi, English, and regional languages for clinicians and patients.
5-Year Lifecycle Commitment
Hardware support, AI model updates, and continuous diagnostic accuracy improvement throughout lifecycle.
Full Stack — Single OEM
Servers, storage, networking, software, and AI from one Indian OEM. One BOQ, one SLA.
Regulatory Alignment
| Standard | Scope | RDP Coverage |
|---|---|---|
| ABDM / NDHM | Digital Health | ABHA integration, NDHM health record connectivity, FHIR compliance |
| DPDP Act 2023 | Data Protection | Patient data privacy, on-premise data residency, consent management |
| DICOM / HL7 | Medical Standards | Native DICOM support, HL7 FHIR interoperability, IHE profiles |
| GFR / GeM | Govt Procurement | General Financial Rules compliant, GeM-listed for hospital procurement |
| ISO 27001 | Information Security | RDP infrastructure ISO 27001 certified |
| CE / FDA Ready | Device Classification | AI models validated for regulatory submission pathway |
Projected Clinical & Operational Impact
| Metric | Before RDP AI | After RDP AI | Impact |
|---|---|---|---|
| Reporting turnaround | 24–48 hours | Sub-second AI draft | 98% faster |
| Diagnostic accuracy | Specialist-dependent | 95%+ AI-assisted | Consistent quality |
| District coverage | No specialist access | AI at every facility | Universal access |
| TB screening | Manual, missed cases | AI population screening | Early detection |
| Radiologist productivity | 50–80 studies/day | 200+ AI-assisted/day | 3× throughput |
| Data sovereignty | Cloud / vendor risk | 100% hospital-owned | Zero exposure |
Let's Transform India's Diagnostics Together
Whether you're a hospital network, diagnostic chain, or healthcare technology company — we want to hear from you.
Trademark Notice: All product names, logos, and brands mentioned are property of their respective owners. NVIDIA, CUDA, Clara, L40S, A100, H100 are trademarks of NVIDIA Corporation. Use is for identification only.
Healthcare Disclaimer: RDP Technologies provides AI compute infrastructure and does not provide medical devices, clinical diagnostics, or therapeutic recommendations. AI models deployed on RDP infrastructure must be independently validated for clinical use per applicable CDSCO, FDA, and CE regulations.
© 2026 RDP Technologies Limited. All rights reserved. Hyderabad, Telangana, India.