Clinical Intelligence
at the Speed of Thought
Paste a discharge summary. Get instant readmission risk, length-of-stay predictions, or specialty classification — with explainable AI highlighting the clinical phrases that matter.
3
Prediction Tasks
3
Model Architectures
100%
Explainable Output
Real-time
Groq-Powered
Prediction Tasks
Three clinical outcomes, one interface
Model Architectures
Choose the right model for every scenario
Groq LLM
LLaMA-3 70B
State-of-the-art language model analyzes clinical text with deep medical reasoning and structured JSON output.
TF-IDF Baseline
Logistic Regression
Fast, interpretable model using 20k TF-IDF features with trigrams. Trains in under 60 seconds on synthetic data.
Hybrid Model
Text + Vitals Fusion
Combines TF-IDF text embeddings with 18 engineered clinical features for maximum predictive accuracy.
Platform Capabilities
Built for clinical-grade analysis
Clinical NLP
Purpose-built prompts extract structured predictions from unstructured discharge summaries.
Explainable AI
Every prediction surfaces key phrases, risk factors, and confidence scores — not black-box outputs.
Multi-Model
Switch between Groq LLM, TF-IDF baseline, and hybrid fusion to compare architectures.
Synthetic Data
Realistic clinical note generator covers 5 specialties with templated discharge summaries.