Medical Image Analysis
We design and build custom medical image analysis software that helps clinicians read studies faster, quantify disease more consistently, and keep evidence audit-ready for regulators and partners. From classical computer vision in medical image analysis to deep learning–based detection and segmentation, we focus on AI that fits real clinical workflows.
Our Offerings
Imaging Strategy & SaMD Advisory
We translate clinical needs into an imaging roadmap: target use cases, model fit, build-vs-buy, and the regulatory path for Software as a Medical Device (SaMD). We draft intended use statements, risk classification, and a clinical evaluation plan, then align software lifecycle with IEC 62304, ISO 13485 quality processes, and Good Machine Learning Practice principles. You get a phased plan with milestones, budget ranges, and regulatory compliance tracking built into the workstream.
Data & DICOM Infrastructure
We stand up the data layer that imaging AI depends on: DICOM gateways, DICOMweb, PACS/VNA connectors, and a versioned image lake in your cloud. Pipelines handle de-identification, harmonization, and labeling; metadata is normalized for robust cohorting. An OHIF-based viewer and annotation tools power review and ground truth creation. Everything is logged for audit and reproducibility.
Multimodal & Report Intelligence
We link pixels to context. NLP converts radiology reports into structured labels, ties impressions back to series/instances, and mines historical priors. We join imaging with EHR signals via HL7/FHIR to drive triage, quality checks, and outcomes tracking. The result is richer features, stronger training supervision, and decision support that reflects the full patient picture.
3D Visualization & Surgical Planning
We deliver interactive 3D tools for segmentation, registration, and measurement that surgeons and interventional teams can rely on during planning. Workflows include mesh generation, centerline extraction, volumetrics, and implant sizing, with export to standard objects and intra-op viewers. We can add AR/VR review or point-of-care planning for specific services where it adds value.
Radiation Therapy Planning Tooling
We integrate with RT objects, automate contouring with AI, and provide dose visualization, accumulation, and plan comparison. Tooling supports contour quality checks, margin application, and protocol templates so physics and dosimetry teams move from manual steps to guided, repeatable flows. Deliverables can include dashboards for plan QA and, where outcomes data is available, longitudinal toxicity metrics.
Deployment & MLOps for Imaging
Models ship as monitored services. We package inference with gRPC/REST, add a DICOM inference gateway for PACS round-trip, and manage GPU scheduling on-prem or in cloud. CI/CD, canary releases, model registry, drift/latency monitoring, and secure rollback are standard. You get live visibility into adoption, performance by site/scanner, and data drift alerts before quality slips.
Validation & Reader Studies
We design and run multi-reader, multi-case studies with predefined endpoints. Power calculations, case selection, site balance, and adjudication are handled end-to-end. Analyses follow study designs and statistical methods commonly used in FDA submissions, with a protocol, SAP, and a clean evidence package you can hand to regulators, clinical partners, or internal review boards.
Security & Privacy Controls
We implement PHI safeguards across the stack: end-to-end encryption, private networking, RBAC with least privilege, DICOM TLS, key management, and immutable audit trails. De-identification follows Safe Harbor or Expert Determination. We map controls to HIPAA and HITRUST requirements and set up ongoing compliance monitoring so access, changes, and data flows remain transparent.
Industries We Serve
- Retail & eCommerce
- Healthcare & Life Sciences
- Finance & Banking
- Logistics & Supply Chain
- Manufacturing
- Government & Public Sector
- Startups
- SaaS
- Telecommunications
- Education
Benefits You Get
Practical gains teams can plan for after a phased rollout and validation.
Want concrete gains and risks quantified for your setting?
Why Choose WiserBrand
We combine clinical-grade software engineering, SaMD know-how, and enterprise MLOps to take imaging AI from pilot to dependable production at health-system scale.
1
Regulated AI by design
We don’t just “add models” — we design custom medical image analysis software around how radiologists, surgeons, and service line teams actually work. Every engagement starts from use cases, KPIs, and workflow maps, then brings in AI for medical image analysis only where it removes clicks, delays, or ambiguity.
2
Full-stack imaging & integrations
Our teams work with DICOM/DICOMweb, PACS/VNA/RIS, and HL7/FHIR. We set up de-identification pipelines, labeling workflows, OHIF-based review tools, and cloud GPUs on AWS, Azure, or GCP that coexist with legacy systems. The result is repeatable ingestion, reliable routing, and vendor-neutral deployment options.
3
Proof-to-scale delivery
We move imaging AI from scoped PoCs to controlled rollouts using reference architectures, a model registry, canary releases, and site-level monitoring. Success metrics stay clinical and operational — time-to-read, variability, sensitivity/AUC, throughput, and total cost per study — so leadership sees progress in terms that matter.
Our Experts Team Up With Major Players
Partnering with forward-thinking companies, we deliver digital solutions that empower businesses to reach new heights.
Our Workflow
A phased path that reduces risk, exposes ROI early, and keeps clinical users in the loop.
Discovery & Use-Case Prioritization
We align clinical goals and business metrics with radiology leads and IT, then select one or two high-leverage use cases. KPIs, risks, and regulatory posture are defined up front so scope, timelines, and success criteria are unambiguous.
Data, DICOM & Security Foundation
We connect to PACS/VNA via DICOM/DICOMweb, establish a versioned image lake, and set up de-identification, labeling, and an OHIF viewer for review. Access is controlled with RBAC, encryption, and audited networking to keep PHI protected from day one.
Model Development & PoC
We build or adapt models for the chosen task — segmentation, detection, report NLP, or multimodal fusion — and evaluate across scanners and sites. Results cover accuracy, latency, and impact on reader time so leadership sees a clear go/no-go path.
Clinical Validation & Change Management
We run a multi-reader multi-case protocol with predefined endpoints and adjudication, while preparing SOPs, training, and release notes. Radiologists stay in the loop through guided reviews, keeping adoption high and feedback rapid.
Deployment, MLOps & Scale-Out
We ship monitored inference services with DICOM round-trip, start in canary or shadow mode, and expand site by site. A model registry, CI/CD, and drift/latency monitoring keep performance stable, with a steady cadence for new anatomies and locations.
Client Success Stories
Explore how our services have helped businesses across industries solve complex challenges and achieve measurable results.
Frequently Asked Questions
Read-only PACS/VNA access, a small starter cohort spanning scanners/protocols, a BAA, and points of contact for radiology, IT/PACS, and compliance. We can proceed in parallel on security review and network whitelisting.
We help clarify intended use, risk level, and evidence expectations, and we align requirements, testing, and validation activities with that path. When needed, we prepare technical and validation documentation your internal regulatory team or external consultants can use in their submissions.
We connect via DICOM/DICOMweb to PACS/VNA, and use HL7/FHIR to exchange orders, reports, and demographics. For viewing and annotation, we deploy an OHIF-based web viewer or integrate with your existing viewer. No workflow detours—radiologists stay in PACS with round-trip overlays and series routing.
We run retrospective testing across sites and scanners, then a multi-reader, multi-case study with predefined endpoints. Power calculations, case adjudication, and subgroup analyses reduce surprises in production and give leadership confidence in real-world impact.
Options include on-prem GPUs, your cloud in a private VPC, or a hybrid model. PHI is kept inside your network boundary; traffic is encrypted, access is RBAC-controlled, and every action is logged. For research or vendor collaboration, we apply Safe Harbor or Expert Determination de-identification and dataset versioning.