Radiology Information System + PACS

See more.
Report faster.
Miss nothing.

Rely RIS/PACS unifies every imaging modality — CT, MRI, X-Ray, Ultrasound, Mammography — into one AI-powered radiology platform. DICOM-native, cloud-ready, and built for the speed of modern diagnostics.

DICOM 3.0HL7 FHIRNABH ReadyAI Pre-ReadCloud PACS
Scroll
< 2 hrs
CT/MRI report TAT
From scan to signed report
500+
DICOM modalities supported
CT, MRI, X-Ray, USG, Mammo & more
99.8%
PACS uptime SLA
Zero image loss guarantee
AI
Pre-read on every study
Flags abnormalities before radiologist
Modality Coverage

Every modality.
One platform.

Select a modality to explore its dedicated workflow, AI capabilities, and reporting tools.

CTCT Scan

CT Worklist & Reporting — Fully Automated

From order entry to signed report — CT workflows are fully automated. DICOM images arrive from the scanner, auto-routed to the radiologist's worklist, and reports are generated with AI-assisted findings and voice dictation.

Auto-population of DICOM worklist from RIS order
AI-assisted CT finding suggestions
Voice dictation with medical vocabulary
Multi-planar reconstruction (MPR) viewer
Dose tracking & radiation log
Critical finding auto-alert to referring doctor
< 2 hrs
CT report TAT
AI
Finding assist
100%
DICOM compliant
CT Worklist — Live
RIS-2841Patient AReporting
RIS-2840Patient BAcquired
RIS-2839Patient CScheduled
RIS-2838Patient DReported ✓
Studies / hour today
AI Pre-Read Engine

AI reads every study
before the radiologist does.

Rely RIS's AI Pre-Read Engine analyses every incoming study in seconds — flagging critical findings, measuring lesions, and prioritising the worklist so radiologists focus on what matters most.

Chest X-Ray AIDetects pneumonia, pleural effusion, cardiomegaly, TB, and pneumothorax
94%
CT Brain — Bleed DetectionFlags intracranial haemorrhage for immediate escalation
97%
Bone Fracture DetectionIdentifies fractures on X-ray and CT with location mapping
91%
Mammography — BI-RADS AILesion detection and density classification on mammograms
89%
Lung Nodule TrackingDetects, measures, and tracks nodules across serial CT studies
96%
AI Pre-Read Report — Study RIS-2841
Modality
CT CHEST
Patient
[ANONYMISED]
Study Date
15-Mar-2026
AI Engine
v4.2.1
AI Findings
Right lower lobe opacity — 2.3cm
Confidence: 94%
URGENT
Pulmonary nodule RUL — 4mm
Confidence: 87%
REVIEW
Mild cardiomegaly
Confidence: 91%
NOTE
No pleural effusion
Confidence: 99%
NORMAL
AI Recommendation
Urgent radiologist review recommended. RLL opacity consistent with consolidation — correlate clinically for pneumonia vs. malignancy. Nodule follow-up per Fleischner guidelines.
Processed in 1.4 secondsAwaiting radiologist sign-off

A complete radiology platform

From worklist management to cloud PACS — every tool a modern radiology department needs.

Cloud PACS

Unlimited image storage with zero-footprint web viewer. Access studies from anywhere — no local installation required.

Voice Dictation

Medical-vocabulary voice recognition for fast report dictation. Structured templates auto-populate measurements and findings.

Teleradiology

Send studies to remote radiologists instantly. Encrypted DICOM transfer with full audit trail and SLA tracking.

Prior Study Comparison

Automatic retrieval and side-by-side display of prior studies. AI highlights interval changes between serial scans.

Critical Value Alerts

Urgent findings trigger instant alerts to the referring clinician via SMS, email, and in-app notification — with acknowledgement tracking.

Radiation Dose Tracking

Automatic dose capture from CT and fluoroscopy. Patient cumulative dose tracking and ALARA compliance reporting.

From Radiologists

Trusted by radiology departments

What radiologists and radiology heads say about Rely RIS/PACS.

The AI pre-read has genuinely changed how we work. Critical findings get flagged before I even open the study — our CT brain bleed TAT dropped from 45 minutes to under 8.

R
Dr. [Radiologist A]
Head of Radiology · Tertiary Care Hospital, Mumbai

We run 600+ studies a day across 3 sites. Rely RIS handles the entire worklist routing automatically. The teleradiology module means our night coverage is seamless.

R
Dr. [Radiologist B]
Radiology Director · Multi-site Diagnostic Chain, Delhi NCR

The mammography BI-RADS module is exceptional. Structured reports, AI lesion detection, and prior comparison in one screen — our screening programme efficiency doubled.

R
Dr. [Radiologist C]
Breast Imaging Specialist · Cancer Screening Centre, Bengaluru
Go-Live Roadmap

Live in 4 weeks — not 4 months.

Our radiology implementation team handles DICOM routing, PACS migration, and AI calibration — so your team is reporting from day one.

Week1
Week 1

DICOM Routing & Modality Connect

All imaging modalities (CT, MRI, X-Ray, USG) connected to Rely RIS via DICOM. Worklist auto-population configured and tested.

Week2
Week 2

PACS Migration & Viewer Setup

Historical studies migrated to cloud PACS. Zero-footprint web viewer deployed. Radiologist workstations configured with voice dictation.

Week3
Week 3

AI Calibration & Reporting Templates

AI pre-read engine calibrated to your patient population. Structured report templates built for each modality and indication.

Week4
Week 4

Go-Live & Radiologist Training

Full go-live with on-site support. Radiologist training on worklist, reporting, and AI tools. 30-day hypercare period included.

Ready to go live?

Your radiology department,
reimagined.

Join radiology departments across India running on Rely RIS/PACS. AI pre-read, cloud PACS, and structured reporting — all in one platform. Book a live demo with your own studies.

DICOM 3.0 CertifiedHL7 FHIR ReadyNABH CompliantCloud PACSAI Pre-Read