Extract donor data, highlight clinical findings, and leverage medical LLMs for evidence-based guidance. Reduce fatigue and save more lives.
The organ evaluation process is fragmented and inefficient. Surgeons sift through disorganized data under intense pressure, leading to information overload and subjective decisions.
Current interfaces are not optimized for rapid navigation, forcing surgeons to sift through disorganized donor PDFs and clinical records.
Late-night evaluations and information overload increase surgeon fatigue and can lead to higher organ discard rates.
Existing non-clinical tools fail to capture nuanced decision-making, leaving organ placement decisions subjective and inconsistent.
We are developing an AI-powered platform that simplifies and improves organ offer evaluation through intelligent data structuring and clinical guidance.
Automatically parses donor PDFs and presents data in a streamlined, organ-specific interface highlighting key clinical red flags.
A specialized medical LLM, fine-tuned on real transplant cases, provides evidence-based insights to support faster decisions.
Beyond clinical guidance, the platform coordinates organ tracking, travel, and automated team notifications in one workspace.
Our system already automatically parses donor PDFs and generates acceptance recommendations. Next Milestone: Fine-tuning a Med-Gemma model using over 100 expert-labeled transplant examples to enhance precision.
Register your interest to get early access and updates on our Med-Gemma pilot program.