The edge-deployed AI PoC Hub for peri-operative care and full-cycle GGN follow-up — from nodule discovery through personalized intervention to post-op recovery, maintaining comprehensive oversight of every patient.
A complete closed Workflow — from first detection to long term follow up — tracked, analyzed, and organized automatically.
Enter CT findings — the system auto-classifies and generates the initial follow-up plan
Generate a binding code for your patient — health data syncs automatically
Each follow-up CT auto-compares nodule changes, assesses growth, and adjusts intervals
Record procedure details, pathology results — system auto-switches to post-op follow-up protocol
From tracking to action — AI-powered agents that analyze, alert, and assist autonomously. Every feature designed to save you time and sharpen your clinical decisions.
Enter nodule type and dimensions — the system auto-generates personalized follow-up plans based on Fleischner 2017 / NCCN 2025 / CSCO guidelines. Solid component changes trigger automatic re-evaluation.
Conversations, symptom trends, health records, DICOM images, operative notes — everything about one patient, in one view.
Auto-generates professional responses informed by complete patient history and the latest clinical guidelines. Doctor reviews and confirms before sending.
Background daemon monitors 24/7: overdue CT scans, sudden weight loss, SpO₂ drops, symptom deterioration — flagged and escalated instantly.
PubMed auto-tracks new NSCLC literature. LLM extracts rule changes for clinician review. One-click approval updates all follow-up plans.
Generate an 8-character binding code for your patient — they enter it once and all health data syncs automatically. No IT setup needed.
Import DICOM files — auto-extract exam dates, slice thickness, HU measurements. Review historical exams by date.
Built-in 60+ disease nodes for lung nodule and cancer ontology. Query diagnosis → treatment → progression pathways.
Voice-enter key surgical milestones — resection extent, lymph node dissection, frozen section results — auto-structured storage.
Locate patients by name, phone, or symptom keywords. Powered by BM25 + vector semantic fusion search.
Auto-tracks patient-reported symptom trajectories — cough, chest pain, dyspnea, fatigue — flagged as improving or worsening.
PII auto-masked before AI processing, restored in responses. All data stays on your local AI PoC Hub.