Explore liver risk, donor safety, and LFT-based reasoning through deterministic clinical simulation.
Educational use only. Transparent logic, reproducible outputs, no black-box predictions.
↓ Choose a ModuleEducational tool that helps identify people with metabolic dysfunction-associated steatotic liver disease and estimate their risk of advanced fibrosis.
Best for: Students, trainees, hepatology teaching
Educational tool designed to standardize risk stratification in living donor liver transplantation. It integrates donor and recipient clinical variables, imaging findings, and graft metrics to estimate perioperative risk, graft adequacy, and red-flag scenarios in a transparent, auditable way.
Best for: Transplant teams, fellows, case discussion
Educational tool that analyzes complex liver function test patterns across transplant, oncology, and general hepatology scenarios. It integrates a sophisticated rule-based reasoning engine alongside essential medical calculators to provide comprehensive differentials.
Best for: Trainees, exam prep, clinical reasoning drills
Built for simulation and learning.
Same clinical input, exact same output.
Every decision pathway is visible.
Do not use for real-world diagnostics.
Clinical reasoning should be understood—not predicted.
By strictly defining parameters and exposing the exact logic pathways, this sandbox allows users to test clinical scenarios, modify inputs, and observe outcomes. We are building a rigorous training paradigm that champions transparency over black-box guesswork.
Radiologist, Educator & Institutional Ethics
Founder of BeResponsibleAI and the Institute For Responsible Healthcare AI. Dedicated to bridging the gap between clinical practice and deterministic, ethically-aligned systems.
imagingsimplified@gmail.comCo-Author & Clinical Contributor
Intern at GMERS Medical College, Ahmedabad, India. Focuses on the integration of structured clinical reasoning tools into early medical education and trainee workflows.