We build custom AI medical imaging systems — from real-time surgical video analysis and CT/MRI/ultrasound anomaly detection to DICOM/PACS integration and telemedicine AI workflows. Powered by custom-trained deep learning models with sub-500ms latency via WebRTC/LiveKit streaming. Fully HIPAA/SOC II compliant. Proven across 600+ projects since 2005 — including CirrusMED (telehealth in 40+ U.S. states) and iMind.com (AI-powered medical video conferencing).
We develop tailored AI-powered medical imaging software that processes live surgical video, ultrasound feeds, endoscopy streams, and static scans to surface actionable findings without disrupting your existing systems. Our focus stays on real-world healthcare environments: secure data handling, sub-second latency where needed, and seamless connections to hospital infrastructure.
Hospitals and healthtech teams choose us because off-the-shelf tools rarely fit unique protocols, edge-case data, or real-time requirements. We handle the full build so your clinicians get practical value and your systems stay compliant and scalable.
We create AI systems that analyze live surgical and imaging video using custom-trained deep learning models (ResNet, EfficientNet, U-Net, YOLO variants) to flag anomalies, track instrument positioning, and deliver real-time clinical insights — all with sub-500ms latency via WebRTC/LiveKit streaming for operating rooms and remote consultations. CirrusMED delivers telemedicine in 40+ states with our HIPAA-compliant video AI.
Our custom-trained models examine CT, MRI, ultrasound, endoscopy, and intraoperative video to detect abnormalities with 90–98% sensitivity — reducing missed findings by up to 30%. We generate structured HL7/FHIR-compatible reports that integrate directly into clinical workflows, enabling radiologists to process 2–3× more cases per shift.
We build secure DICOM/PACS integrations with HL7/FHIR interoperability, automated worklist prioritization, and AI-driven case routing — so data flows securely without manual steps. Our systems connect to existing hospital EHR/EMR, radiology, and surgical platforms for end-to-end clinical workflow automation.
We follow a clear, transparent process designed for healthcare projects. Every step includes regular reviews so you stay in control and see progress toward a solution that actually works in your environment.
We review your clinical workflows, imaging modalities, data samples, HIPAA/SOC II compliance requirements, and integration needs. You receive a detailed scope, architecture plan, timeline, and cost outline. 600+ deployments inform our planning.
We audit your DICOM imaging data, identify annotation needs, and design custom deep learning architectures (ResNet, U-Net, EfficientNet) optimized for your specific modalities — CT, MRI, ultrasound, endoscopy, or surgical video.
Our team builds the AI inference pipeline, adds sub-500ms video streaming via WebRTC/LiveKit, implements DICOM/PACS/HL7/FHIR integration, and connects to your clinical EHR/EMR systems. Agentic Engineering accelerates delivery 2–10×.
We run rigorous clinical validation: accuracy benchmarking against your datasets, latency testing, HIPAA/SOC II security audits, penetration testing, and real-world scenario validation with your clinical team.
We deploy to your infrastructure — AWS/Azure/GCP cloud, on-premises GPU servers, or edge devices — with zero-downtime migration, BAA-ready configuration, and full integration testing in your production environment.
Post-launch AI performance monitoring, model retraining on new data, accuracy optimization, and long-term support. Most clients continue with us 5+ years for ongoing model improvements and new feature development.
Our Agentic Engineering process delivers reliable Medical Imaging systems 4-10× faster – without sacrificing quality. See how it works for your project →
Our systems are built for security, scalability, and real-time performance from the ground up. We combine proven streaming technology with AI processing layers that handle high-volume medical video without compromising compliance or speed.
Start with a focused MVP (e.g. real-time anomaly detection for one modality) and scale globally to enterprise-grade telemedicine, multi-hospital radiology networks, or AI-assisted surgical platforms.
We solve real challenges for radiology groups, telemedicine providers, surgical centers, and health systems that need more than generic AI tools. Here are examples of projects we commonly deliver.
If your project involves real-time video, custom workflows, integration with hospital systems, or addressing clinician shortages through faster, more accurate diagnostics, we can help build the solution that fits.
Custom AI medical imaging and real-time video software for every case. Secure, scalable, and packed with smart features – built by the pros.
![[background image] image of logistics control room (for a trucking company)](https://cdn.prod.website-files.com/64e8910adc5a63966a68acc1/68e7dfd17638aaf511162f7a_f841ed23dc31eb8a94e23195c64f4acb_develop.webp)
We design, develop, and deploy custom AI medical imaging systems from scratch — from deep learning model training (ResNet, U-Net, EfficientNet) and DICOM/PACS integration to real-time surgical video AI and telemedicine workflows. 600+ projects delivered since 2005.
Upgrade existing radiology, PACS, or telemedicine platforms with AI-powered anomaly detection, automated worklist prioritization, real-time video analysis, and HL7/FHIR integration — improving diagnostic throughput 2–3× without replacing your infrastructure.
![[digital project] image of a showcased project (for a ai robotics and automation)](https://cdn.prod.website-files.com/64e8910adc5a63966a68acc1/68e7e04abb8f1a3770a8625e_fix.webp)
Inherit and stabilize struggling medical AI projects — model accuracy improvements, HIPAA compliance fixes, DICOM integration repairs, and inference pipeline optimization. We audit, fix, and scale underperforming clinical AI systems.
Startup 💡
Single-modality AI model (CT, MRI, or ultrasound), basic DICOM integration, HIPAA-compliant deployment, initial model training on your data. 4–6 week delivery.
from
$6,400
from 4 weeks
Growth 🚀
Multi-modality AI models, full PACS/HL7/FHIR integration, WebRTC/LiveKit real-time video streaming, automated worklist prioritization, expanded training datasets. 2–4 month delivery.
from
$12,800
from 2 months
Enterprise 🏢
Multi-site deployment, advanced HIPAA/SOC II/GDPR compliance, edge+cloud hybrid architecture, continuous model retraining, EHR/EMR integration, 99.9% uptime SLA. AWS/Azure/GCP or on-premises.
from
$24,000
from 4 months
Ready for a realistic timeline and cost breakdown tailored to your needs? We offer free SRS and a code audit for existing projects.
Since 2005, Fora Soft has specialized in AI medical imaging, real-time video AI, and HIPAA-compliant clinical platforms — delivering CirrusMED, iMind.com, MyOnCallDoc, and 600+ custom solutions with proven clinical impact.
Deep learning engineers, medical imaging specialists, DICOM/PACS integration experts, WebRTC/LiveKit developers, and HIPAA compliance specialists — all in-house. We think like clinical product owners, not just coders.. We think like product owners, not just coders.
Over 600+ completed projects including CirrusMED (telehealth in 40+ states), iMind.com, and MyOnCallDoc. 100% Upwork Success rate, 400+ honest client reviews, and 90–98% AI model accuracy. Results you can verify.
Get the scoop on AI, real-time video & advanced medical analytics – straight talk from the top devs
We specialize in real-time surgical video AI, CT/MRI/ultrasound/endoscopy anomaly detection using custom deep learning models (ResNet, U-Net, EfficientNet), DICOM/PACS/HL7/FHIR integrations, telemedicine AI enhancements via WebRTC/LiveKit, automated worklist prioritization, and clinical workflow automation. CirrusMED (40+ states) and iMind.com are examples of our medical AI solutions.
Yes. We implement full HIPAA/SOC II compliance with secure SRTP/DTLS-encrypted WebRTC/LiveKit streaming, end-to-end encryption, audit logging, PHI de-identification, role-based access, and BAA-ready deployment. Latency stays under 500ms for live surgical and telemedicine video. CirrusMED operates HIPAA-compliant telemedicine across 40+ U.S. states.
With custom model training, transfer learning, and domain adaptation on your clinical datasets, we typically achieve 90–98% sensitivity depending on modality and pathology complexity. Our validation pipeline includes ROC/AUC analysis, cross-validation, and real-world clinical testing to ensure robust performance.
Yes. We build secure DICOM/PACS integrations with HL7/FHIR interoperability, connecting to existing radiology, EHR/EMR, and surgical systems. Our AI outputs flow directly into worklists, structured reports, and clinical dashboards without manual workarounds.
Startup MVPs (single-modality AI): 4–6 weeks. Growth platforms (multi-modality, PACS integration, video streaming): 2–4 months. Enterprise deployments (multi-site, compliance, hybrid architecture): 4–6+ months. Agentic Engineering accelerates delivery 2–10×. Free consultation to scope your project.
We provide clinical team training, AI performance monitoring dashboards, continuous model retraining on new data, accuracy optimization, and long-term maintenance. Most clients continue with us 5+ years — including ongoing model improvements, new modality support, and compliance updates.
