We build and integrate clinically useful AI for radiology:
NLP & LLMs
We develop report-aware assistants, EMR mining, follow-up tools, and safety guardrails for LLM use in clinical reporting. Focus areas: factuality, uncertainty handling, and bias mitigation. Clinical integration is co-designed with radiologists and IT.
Workflow Automation & Integration
Tools for automated protocoling, imaging-transfer verification, prioritization, and structured-impression support—implemented within clinical systems and evaluated for ROI.
Imaging AI & Quality
Detection, triage, and error-reduction models with prospective validation and post-deployment monitoring; emphasis on robustness across scanners and patient populations, with feedback loops for model-performance drift.
Predictive Analytics (Multimodal)
Outcome and risk models that combine images + text (reports/EMR) for disease management and care pathways.