Lucus Health offers a professional clinical decision support platform that delivers algorithm‑transparent radiology tools for clinicians and radiology departments. The platform integrates directly into existing workflows, providing real‑time guidance on imaging appropriateness, protocol selection, and diagnostic interpretation to improve patient outcomes and reduce unnecessary scans. By making the underlying algorithms visible, it helps providers understand and trust the recommendations, supporting more consistent and evidence‑based radiology practice.
Funding
Funding not disclosed
Founders
Product
Problem
Radiologists and clinicians often rely on black‑box AI tools or manual interpretation, which can lead to uncertainty about how recommendations are generated and may hinder workflow efficiency and diagnostic confidence.
Solution
Lucus Health delivers a clinical decision support platform that embeds directly into existing imaging workflows, offering radiology tools whose underlying algorithms are fully visible to users. By presenting clear, evidence‑based recommendations alongside the source data, the platform enables clinicians to understand the rationale behind each suggestion, supporting informed decision‑making while adhering to regulatory and clinical standards. The transparent approach helps reduce interpretation time, improve diagnostic accuracy, and streamline collaboration within radiology departments.
Target Audience
Primary customers are radiology departments, hospital imaging centers, and individual radiologists seeking reliable, transparent AI assistance in diagnostic interpretation.
Features
- Seamless integration with PACS, RIS, and EMR systems to fit into current imaging pipelines
- Algorithm‑transparent AI modules that display the decision logic and confidence scores for each recommendation
- Evidence‑based diagnostic suggestions for a range of imaging studies, customizable to departmental protocols
- Real‑time alerts and prioritization of findings to accelerate case review
- Compliance‑focused reporting tools that generate audit‑ready documentation of AI assistance