AI-powered PACS, EMR, and HIS integration for hospitals - connecting every department, automating radiology workflows, reducing turnaround time, and improving diagnostic accuracy from scan to report.
Accelerate radiology reporting with AI-driven DICOM image analysis - reduce costs, increase throughput, and deliver faster, more accurate diagnostic imaging results.
AI-powered medical imaging integration for insurers - automate insurance claims processing, detect fraud with intelligent data analysis, and make faster, evidence-based coverage decisions.
Teleradiology reporting platform - cloud-based DICOM viewer enabling remote radiologists to report across multiple centers, anytime, from any device.
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
Breast Cancer Risk Assessment: The BI-RADS calculator helps assess the risk of malignancy in breast lesions based on mammography, ultrasound, and MRI findings.
Treatment and Follow-Up Planning: It aids in standardizing breast cancer diagnosis and follow-up protocols.
Thyroid Nodule Evaluation: The TIRADS calculator classifies thyroid nodules based on ultrasound characteristics.
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.
Supports DICOM 3.0 imaging standard
Seamless messaging with HL7 v2.x standards
Modern, scalable FHIR R4 RESTful APIs
Independently assessed for HIPAA Security and Privacy requirements
