The future ofmedical imagingWe train foundation models on our proprietary datasets and build tools that empower radiologists, researchers, and developers to advance medical imaging together.Visit Research Hub →01Foundation Models02Radiology Suite03Research Hub04Health Layer05Model API01Open-source 3Dmedical imaging modelsOur models and datasets are freely available to accelerate innovation in healthcare AI.CT-CLIPNature Biomedical EngineeringCT-CHATNature Biomedical EngineeringBTB3DNeurIPS 2025CT-RATENature Biomedical EngineeringCT2RepMICCAI 2024GenerateCTECCV 2024MR-RATEPreprint SoonSoonCT FoundationJoin Waitlist02Radiology SuiteAI ReportGenerating draft...DICOM viewer withAI-powered report draftsA modern radiology workstation that generates AI-powered draft reports. Radiologists can edit or dictate changes, then sign off to seamlessly send finalized reports to your EHR/RIS.1AI generates draft reports from your scans2Edit or dictate changes with full clinical control3Sign and send directly to EHR/RISJoin the waitlist03Accelerate medicalimaging research1✓Share datasets securely for external validation2✓Benchmark your models and host challenges3Train your models on our data lakeVisit Research Hub →VLM3D ChallengeVision-Language Modeling in 3D Medical Imaging3D Chest CTReport GenerationAbnormality ClassificationVolume Generation3D Brain MRIReport GenerationAbnormality ClassificationVolume GenerationMICCAI 2025 WorkshopDaejeon, KoreaICCV 2025 WorkshopHonolulu, Hawaii, USAComing SoonMICCAI 2026Strasbourg, FranceOur Data Lake3M+ images with radiology reportsCT 535KMRI 590KCR 947KDX 183KUS 252KPX 175KXA 89KMG 61KAlways expanding04Health LayerUpload→Secure Cloud→AI Analysis→ShareYouAIIntelligent Patient CloudUnify your medical records across institutions, share them securely, and continuously understand your health data through our foundation models.1Unify records across providers and formats2Share data securely with your care team3Continuously understand and monitor your health dataJoin the waitlist05api_example.pyimport forithmus
# Initialize client
client = forithmus.Client("your-api-key")
# Analyze a CT scan
result = client.analyze(
model="ct-foundation",
image="path/to/scan.dcm"
)
# Get the report
print(result.report)One API for all our modelsAccess our foundation models through a simple REST API. No infrastructure to manage, no GPUs to provision. Send your images - get reports in seconds.Python SDKDICOM & NIfTISOC 2 CompliantREST APIJoin the waitlistWe're hiringiOS/Android developers, software and ML engineers, and medical AI researchers - if you want to work on meaningful problems with real clinical impact, reach out.careers@forithmus.com
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