
Hospitals
One connected imaging platform for every department: MedCARE™ RIS for orders and scheduling, MedPACS™ for image storage and routing, MedVIEWER™ for reading on any device, and AI-assisted reporting, all integrated with your HIS and EMR.
Cloud PACS · RIS · AI-assisted reporting
MedPACS™, MedVIEWER™, MedCARE™ and Reporting Co-Pilot bring image storage, viewing, scheduling and AI-assisted reporting together for hospitals, diagnostic centres and teleradiology teams.
One connected workflow
Web and desktop DICOM viewers
MedVIEWER™ opens studies in the browser, with nothing to install. KAPREN™ runs on Windows, Mac, iPhone and Android.

Built for radiology teams
AI-generated content stays a draft until an authorized clinician reviews and approves it.
Every AI draft is reviewed and approved by a clinician before it becomes a report.
Case allocation, worklists and turnaround tracking across every site.
DICOMweb, HL7 v2 and FHIR R4 links to your HIS, EMR and modalities.
Cloud, on-premise or hybrid, for hospitals, diagnostic centres and teleradiology networks.
Radiology report
ApprovedEvery imaging case passes through several systems before a report reaches the referrer. MiddleOffice is the integration layer between them: it routes orders, studies and reports between your RIS, PACS, HIS/EHR, reporting and teleradiology systems, tracks each handoff, and shows you when a delivery fails.
It connects MedCARE™ RIS, MedPACS™ and MedVIEWER™ to each other, and to the compatible systems you already run.
Sends each order, study and report to the system that needs it next.
Shows where each case is, from order to delivered report.
Flags a delivery that fails, with the reason, so it can be fixed and re-sent before anyone has to chase it.

RadpicsAI Combines AI-Powered, cloud infrastructure and healthcare expertise to improve diagnostic access and reporting.
RadpicsAI leverages artificial intelligence and cloud infrastructure to streamline radiology workflows, enhance diagnostic imaging accuracy, and enable seamless medical knowledge sharing across healthcare networks.
Our mission is to equip radiologists, hospital administrators, and diagnostic center teams with an intuitive, AI-driven PACS and DICOM platform that accelerates reporting, eliminates errors, and expands access to quality diagnostics.
RadpicsAI was found to solve a critical gap in healthcare imaging: slow, fragmented, and inaccessible radiology reporting across hospitals and diagnostic centers. We built an AI-powered PACS platform that unifies DICOM image viewing, clinical decision support, and teleradiology reporting — helping clinicians work faster, report smarter, and deliver better patient outcomes.




Generate accurate obstetric scan reports instantly with intelligent automation and structured templates.
Auto-Fill TemplatesPre-filled scan measurements
Smart AnnotationsAI-driven findings recommendations
Voice to Report Dictate and auto-transcribe
Structured Reporting Standardized medical layout
One-Click Export PDF and print ready
Multi-Language English and Hindi support
Voice to Report Dictate and auto-transcribe
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Clinical Decision Support: It assists in biopsy, follow-up imaging, or monitoring decisions.
Ovarian and Adnexal Lesion Assessment: The OI-RADS calculator categorizes ovarian and adnexal lesions on imaging.
Guides Treatment and Surveillance: It helps clinicians determine next steps for safe management.
BCLC Staging System: The Barcelona Clinic Liver Cancer system assesses HCC stage.
Personalized Treatment Guidance: BCLC guides treatment decisions based on cancer stage and patient condition.
RadpicsAI is designed to meet the highest standards of security, interoperability and compliance.
Seamless messaging with HL7 v2.x standards
Modern, scalable FHIR R4 RESTful APIs
Independently assessed for HIPAA Security and Privacy requirements
Supports DICOM 3.0 imaging standard

Integrated with India's Ayushman Bharat Digital Mission for ABHA-linked digital health records
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