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 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.
Cloud-based PACS software for hospitals. Automates radiology reporting, case allocation, and RIS PACS integration — all in one platform.
Connects EMR and radiology software for seamless hospital workflow. Automate appointments, patient records, and clinic scheduling for doctors and receptionists.
Centralized, secure storage for EMR reports and patient data — HIPAA-compliant, HL7-enabled, with built-in HIS integration. for hospitals and diagnostic centers across the world.
View CT, MRI, X-ray & Ultrasound DICOM images on any device — browser or mobile app. Powered by MPR, annotations, and AI-assisted radiology insights.
Secure video consultations for every healthcare need — from radiology second opinions and specialist referrals to Doctor consultations, all integrated with your PACS, EMR, and hospital workflow.
Seamless processing of images, text, and EHR data to provide context-aware diagnostic insights.
Smart multi-source data fusion
Context-driven diagnostics
Real-time EHR integration
Optimized for chest X-rays and other planar images to identify anomalies and generate structured reports.
Advanced anomaly detection
Auto measurements & annotations
Instant structured reports
Interprets CT and MRI scans with spatial awareness to visualize and assess complex anatomical structures.
Volumetric reconstruction
Cross-sectional spatial correlation
Interactive 3D visualization
Automatically generates radiology reports, reducing manual workload and accelerating turnaround times.
Automated report creation
Reduced manual effort
Faster diagnostic turnaround
Early Obs: Early pregnancy assessment
NT Scan: Nuchal translucency screening
Growth Scan: Fetal growth monitoring
Anomaly Scan: Detailed fetal anatomy assessment
Growth Scan: Continued fetal growth monitoring
Obs Doppler: Blood flow and growth evaluation
Breast Cancer Risk Assessment: The BI-RADS calculator helps assess the risk of malignancy in breast lesions based on mammography, ultrasound, and MRI findings, assigning a score that ranges from 0 (inconclusive) to 6 (known malignancy), guiding clinical decision-making.
Treatment and Follow-Up Planning: It aids in standardizing breast cancer diagnosis and follow-up protocols, ensuring consistent monitoring and appropriate intervention, whether for biopsy, further imaging, or treatment options.
Thyroid Nodule Evaluation: The TIRADS calculator provides a standardized framework to classify thyroid nodules based on ultrasound characteristics (such as size, shape, and echogenicity), helping to determine the likelihood of malignancy.
Clinical Decision Support: It assists in decision-making regarding the need for biopsy, follow-up imaging, or monitoring, thereby optimizing patient management and minimizing unnecessary procedures.
Ovarian and Adnexal Lesion Assessment: The OI-RADS calculator provides a structured system to categorize ovarian and adnexal lesions on imaging (e.g., ultrasound), estimating the risk of malignancy based on specific criteria.
Guides Treatment and Surveillance: It aids clinicians in determining whether further intervention (like biopsy or surgery) is necessary or if the lesions can be safely monitored, ensuring tailored and effective management for patients with ovarian or adnexal abnormalities.
BCLC Staging System: The Barcelona Clinic Liver Cancer (BCLC) system is a standard tool used to assess the stage of hepatocellular carcinoma (HCC) based on factors such as tumor size, number of lesions, liver function, and the patient’s general health status..
Personalized Treatment Guidance: BCLC provides a framework to guide treatment decisions for HCC, ensuring that interventions (like surgery, liver transplantation, or palliative care) are tailored to the cancer stage, liver function, and overall patient condition.
Automates workflows, reducing reporting turnaround times by up to 40% and operational costs by 20-30%.
Built for growth, enabling networks to handle up to 10x more cases as operations expands.
Expands access to advanced diagnostics, potentially reaching 80% more underserved areas through remote reporting.
Enhances stakeholder interaction, improving data- sharing efficiency by 50% and reducing manual errors.
RadpicsAI uses deep learning models trained in millions of diagnostic imaging studies. The radiology AI analyses pixel-level patterns in CT, MRI, and X-ray images to detect abnormalities — such as nodules, fractures, or organ irregularities — and flags them with confidence scores to assist the radiologist's final diagnosis.
RadpicsAI offers a suite of AI-powered radiology calculators including BI-RADS (breast imaging), TIRADS (thyroid nodules), OI-RADS (ovarian lesions), Barcelona BCLC (liver cancer staging), and Obstetric Ultrasound calculators for NT Scan, Anomaly Scan, Growth Scan, and Obs Doppler. All are embedded directly in the PACS workflow.
PACS (Picture Archiving and Communication System) is software that stores, retrieves, and transmits medical images like CT, MRI, and X-ray digitally. Hospitals need it to eliminate physical film, speed up radiology reporting, enable remote access to scans, and integrate with EMR and HIS systems — improving diagnostic speed and patient care.
PACS manages medical images. RIS (Radiology Information System) manages radiology workflow — scheduling, orders, and reports. HIS (Hospital Information System) manages the entire hospital — admissions, billing, and records. RadpicsAI integrates all three, giving hospitals a single unified platform for complete radiology workflow management.
Cloud PACS stores images on secure remote servers — no local hardware needed. On-premises PACS requires expensive servers, IT teams, and maintenance. Cloud PACS, like RadpicsAI, is faster to deploy, scales automatically, and allows radiologists to access DICOM images from anywhere — making it ideal for growing hospitals and diagnostic centers.
A medical PACS system (Picture Archiving and Communication System) is software that digitally stores, retrieves, manages, and transmits medical images such as CT scans, MRI, X-ray, and Ultrasound. It replaces traditional film-based imaging, giving radiologists and doctors instant access to patient scans from any location. RadpicsAI offers a cloud-based medical PACS system built for hospitals and diagnostic centers across the world.
No — and RadpicsAI is not designed to replace radiologists. Our AI radiology software acts as a decision-support tool, helping radiologists work faster and catch more with greater accuracy. The radiologist always makes the final clinical diagnosis. AI handles routine pattern detection and report drafting, so radiologists spend more time on complex cases.
Driven experts committed to innovation and excellence.
Founder & Chairman
CTO & Co-founder
CRDO & Co-founder
CSO