The edge-deployed AI PoC Hub for peri-operative care and full-cycle GGN follow-up — from early-stage adenocarcinoma to nodule surveillance; 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 organizes and presents follow-up scheduling options drawn from published guideline libraries (Fleischner 2017 / NCCN 2025 / CSCO) for clinician review. Changes in the solid component are flagged for clinician review.
Conversations, symptom trends, health records, DICOM images, operative notes — everything about one patient, in one view.
Drafts responses informed by the patient's history and published guideline references, for the clinician to review, edit and confirm 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.