Shaping Diagnostics with AI
A Unified Platform Simplifying Business Operations and Knowledge Sharing.
AI-powered PACS, EMR, and workflow automation
Faster reporting, reduced costs, better patient outcomes / Increased patient satisfaction
Automated claims processing, fraud detection
Integration with medical imaging for data-backed decisions
Enterprise-Grade Platform for
Multi-Center Diagnostic Imaging and Remote Reporting


RadpicsAI uses AI and cloud technologies to improve healthcare operations, make diagnosis more accurate, and help share knowledge.

We aim to give medical professionals easy-to-use, efficient, and high-quality healthcare solutions.
RadpicsAI started with a simple but urgent mission: fix the broken links between diagnosis, access, and medical learning. It was created to make imaging smarter, healthcare more reachable, and clinical knowledge easier to share for every doctor. Now, it is reshaping radiology with AI‑powered PACS, decision support, and workflow automation that help clinicians work faster, learn continuously, and serve patients better.
Integrates PACS, appointment management, and simplifies case allocation and reporting.
Simplifies scheduling and patient management for doctors and receptionists. Provides tools for efficient clinic record.
Enables secure storage and management of medical records for patients.
Provides centralised access for tracking and sharing healthcare information.
Mobile based viewer for CT, MRI, X-ray, and Ultrasound with tools like MPR, annotations, & measurements.
Facilitates virtual consultations for patients, doctors, and back-office staff.
Supports real-time discussions and secure video-based advice.
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.
Driven experts committed to innovation and excellence.

Founder & Chairman

CTO & Co-founder

CRDO & Co-founder

CSO