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PLATO AI-LEARN

AI for Medical Education

Personalized learning pathways, interactive simulations, and real-time performance feedback for healthcare professionals.

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What is PLATO AI LEARN? 

PLATO | AI-LEARN is the medical education and learning vertical of the PLATO platform, designed to transform how healthcare professionals learn by combining AI-powered tutoring, interactive clinical simulations, and continuous performance evaluation.

Instead of passive learning (slides, videos, exams), AI-LEARN enables active, practice-based learning where learners interact with AI tutors and virtual patients to apply knowledge, make decisions, and receive immediate coaching.

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Why PLATO AI LEARN?

PLATO  AI-LEARN is the next evolution of learning transforming traditional medical and clinical education with AI-powered personalized learning, interactive simulations, and real-time feedback.

  • Personalized & Adaptive Learning

  • Interactive Clinical Simulations

  • Real-Time Performance Feedback

  • Multi-Agent AI Support

  • Scientifically Designed & Validated

  • Real Outcomes for Real Learners

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AI Agents for Learning

01

Delivers educational content and explanations tailored to individual learning progress and comprehension levels.

Teaching Agent

Tests understanding and retention through adaptive assessments that identify knowledge gaps and reinforce learning.

02

Evaluation
Patient Diagnosis Simulation Agent

03

Provides realistic clinical scenarios for practical application of medical knowledge in safe, simulated environments.

Adaptive AI Learning Framework

A configurable AI learning framework that adapts to any content, simulates real-world clinical scenarios, and continuously evaluates learner performance through an intelligent feedback loop.

Configurable & Personalized Learning

Configurable Learning Modules

PLATO adapts to customer-specific content, therapeutic areas, curricula, and learning objectives. Modules are fully configurable by educational administrators and can support any medical or scientific domain.

Personalized Learning Pathways

Learners follow adaptive learning paths that evolve based on performance, prior knowledge, and demonstrated competencies — ensuring the right content at the right level, for every learner.

Adaptive Performance Intelligence

Continuous Assessment System

An integrated evaluation framework that:

  • Provides real-time performance feedback

  • Dynamically adjusts difficulty based on learner progress

  • Generates comprehensive assessments across knowledge, reasoning, and application


This creates a closed-loop learning system that continuously measures development, identifies gaps, and guides learners toward mastery.

Interactive Clinical Learning

Interactive Clinical Simulations

Scenario-based, hands-on learning environments that simulate realistic clinical and patient situations. Learners actively engage in case discussions, diagnostic reasoning, and decision-making within a safe, risk-free setting.

This approach moves learning from passive consumption to active clinical practice.

AI-LEARN Study

Sapienza Università di Roma

A comprehensive clinical study evaluating the efficacy of adaptive AI agents in medical training environments. This research measures knowledge retention, diagnostic accuracy, and student engagement compared to traditional learning methodologies.

Announcement

November 2025

Start Date

Academic Year 2025–2026

Expected Results

Spring 2026

PLATO AI LEARN Support

Our AI-powered assistant is here to support you with everything related to PLATO AI LEARN and ctcHealth. Whether you’re looking for information about PLATO AI LEARN features, usage, access, known limitations, or ctcHealth policies such as our Privacy Policy and Terms of Service, the assistant is here to help.

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Want to know more about PLATO AI LEARN or ctcHealth services?

Talk with our AI assistant to explore features, use cases, and capabilities.

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