Our proprietary MedState dynamic physiological simulation engine and MedPersona personality-emotion interaction engine deeply fuse real clinical cases, international guidelines and generative AI — making emergency training, clinical teaching and emergency command fully intelligent.
SimmedAI brings together three words: Simulation, Medicine and AI. We believe high-quality emergency and clinical teaching should no longer be limited by scarce instructors, insufficient space or rare cases.
Condition Simulation + Personality Interaction + Intelligent AssessmentBuilt on more than a decade of emergency training, event medical coverage and frontline response, SimmedAI fuses real case data, authoritative international guidelines (AHA/ERC) and generative AI into a complete technical loop.
From medical students to senior emergency instructors, from classrooms to institutional quality control, from basic life support to complex ACLS arrhythmias — SimmedAI makes every training session come infinitely close to reality, with every action precisely recorded, instantly fed back and scientifically debriefed.
Making quality medical education accessible to all.
MedState rests on a four-layer architecture — data, AI engine, application and interaction — integrating three engines: dynamic physiological modeling, real-time interactive feedback, and intelligent assessment and decision-making.
From virtual patients to cloud collaboration, from offline terminals to the online platform — click through to explore each product's capabilities in detail.
An AI virtual standardized patient driven by dynamic condition feedback, combining ordinary differential equations with machine learning for millisecond-level multi-organ simulation.
High-sensitivity sensors capture compression data in real time with green / amber / red feedback, and key metrics are automatically folded into assessment scoring.
From basic life support to advanced cardiovascular life support, every course has a matching AI simulation training module.
Adult, child and infant CPR, AED use and choking management. For the general public, corporate employees and lay responders.
Arrhythmia recognition, defibrillator and monitor operation, team resuscitation leadership and emergency drugs. For healthcare professionals.
Management of pediatric respiratory failure, shock and arrhythmias, plus pediatric team resuscitation.
Trauma assessment, polytrauma management, on-scene triage and transport decisions. For prehospital and event medical teams.
Workplace first aid, automated external defibrillator use and on-site injury management, delivered through gamified self-directed training.
Breaking bad news, calming anxious patients, managing conflict and end-of-life communication. A MedPersona-exclusive module.
Not to replace instructors, but to free them from repetitive scoring so they can focus on teaching that truly requires experienced judgment.
| Capability Dimension | Traditional Training | SimmedAI |
|---|---|---|
| Condition Evolution | Preset scripts, static and unchanging | Real-time multi-organ interaction, millisecond-level dynamic simulation |
| Assessment Method | Manual observation, subjective scoring | Sensor-quantified, fully traceable at every node |
| Case Diversity | Dependent on manikins and textbooks | 200+ preset cases, with rare emergencies generated on demand |
| Clinician-Patient Communication Training | Peer role-play, detached from reality | AI-personified patients with multimodal emotional feedback |
| Training Cost | Venue + manikin + instructor — costly | Cloud-based and ready to use, with near-zero marginal cost |
| Data Accumulation | Paper records that are hard to analyze | Full behavioral data with an institutional capability dashboard |
A finite state machine precisely maps the AHA 2025 adult BLS algorithm; every step corresponds to a clear scoring point and feedback.
A gamified tier system lets learners see their own progress.
Basic BLS Skills
CPR Compression Training
AED Use
Team Coordination Drills
ACLS Arrhythmias
Defibrillator & Monitor Simulation
Complex Emergency Decision-Making
Advanced Clinician-Patient Communication
Leading Teaching Teams
Event Command & Dispatch
Launched emergency training operations, accumulating frontline BLS/ACLS teaching and event medical coverage experience
Formed an AI team and began developing the MedState dynamic physiological simulation engine and the MedPersona personality interaction engine
MedState and MedPersona completed internal testing; the online ACLS simulation training platform was officially released
MedPersona won Third Prize in the final of the National Medical Manikin Intelligent Sensing Competition; both projects advanced from 196 entries across 29 provinces
Standardized BLS/ACLS training and assessment end to end, with large-class concurrency, real-time dashboards and auto-generated learning reports.
Critical care simulation and team drills for emergency, ICU and anesthesia departments, building institution-level training data.
Using multimodal emotion recognition and role-play to train soft skills: intake, disclosure, reassurance and conflict management.
Drawing on event medical coverage experience, simulate mass-casualty dispatch and coordinated resource response, with intelligent AED and personnel allocation.
Lightweight, gamified self-directed training for corporate EHS teams and community first responders, lowering the barrier to training.
Through cloud collaboration and edge computing, top-tier teaching capability reaches grassroots clinics and remote schools.
Working hand in hand with medical schools, tertiary hospitals, emergency centers and industry partners to advance AI medical simulation standards.
No installation needed — just open it in a browser. Click to enter a system.
Dynamic physiological simulation virtual standardized patient, with real-time condition evolution and quantitative CPR assessment.
Enter System →Personality-driven digital patients, 16 personality types, multimodal emotional interaction, and clinician-patient communication training.
Enter System →High-fidelity defibrillator and monitor simulation, multi-device collaboration, with real-time instructor orchestration and assessment.
Enter System →An intelligent ACLS assistant with real-time guideline prompts, arrhythmia recognition and medication decision support.
Enter System →Resuscitation timer, compression cycle prompts, team role assignment and automatic debrief data recording.
Enter System →Training data and learner privacy are our bottom line. End-to-end security assurance, from architecture design to operations.
Join SimmedAI in building a new ecosystem for AI medical simulation
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