Forithmus provides a cloud‑based radiology workstation that integrates a DICOM viewer with AI‑generated draft reports for CT, MRI, X‑ray, ultrasound and other modalities. Radiologists can edit, dictate, or approve the drafts within the same interface and then sign and transmit finalized reports directly to EHR/RIS systems via standard APIs. The platform also includes a research hub for secure dataset sharing and a model API with Python SDK and REST endpoints for custom analysis pipelines.
Funding
Funding not disclosed
Founders
Product
Problem
Radiology departments often rely on manual report generation from imaging studies, which is time‑consuming, prone to variability, and requires separate tools for viewing DICOM data and drafting reports. This workflow limits throughput and hampers rapid integration of imaging findings into electronic health records (EHR) or radiology information systems (RIS).
Solution
Forithmus offers a cloud‑based radiology workstation that combines a DICOM viewer with AI‑generated draft reports. The system automatically analyzes CT, MRI, and other modality scans to produce structured report drafts, which radiologists can edit, dictate, or approve within the same interface. Once finalized, reports are signed and transmitted directly to the institution’s EHR/RIS via standard integrations. The platform also provides a research hub for secure dataset sharing and a model API that lets developers access the underlying AI models through a Python SDK, REST API, or DICOM/NIfTI interfaces. By centralizing imaging review, AI assistance, and report delivery, Forithmus streamlines clinical workflows and supports accelerated medical‑imaging research.
Target Audience
Primary customers are radiology departments in hospitals and imaging centers, as well as medical‑imaging research groups that require AI‑assisted reporting and secure data sharing capabilities.
Features
- Integrated DICOM viewer with AI‑driven draft report generation for CT, MRI, X‑ray, ultrasound, and other modalities
- Editable report interface allowing radiologists to modify, dictate, or approve drafts with full clinical control
- One‑click signing and automatic transmission of finalized reports to EHR/RIS systems via standard APIs
- Secure data lake containing over 3 million de‑identified images and reports for model training and validation
- Model API with Python SDK, REST endpoints, and DICOM/NIfTI support for custom analysis pipelines
- Compliance with SOC 2, ISO 27001, and DICOM standards to ensure data security and interoperability
- Research hub enabling controlled dataset sharing for external validation and collaborative studies