AI and Machine Learning

MedVR Ed’s AI-based patient assessment uses NLP, ML and deep learning technologies. A large volume of data is fed and trained using various algorithms to recognize patterns and understand the human language. It includes part of speech tagging, named entity recognition, co-reference solution and sentimental analysis etc.

Softskills training powered by AI/ML

Creating replicas of real-life patient cases places learners in realistic scenarios. This provides learners with opportunities to conduct patient assessments helping build necessary skills for the purpose. Accurately diagnosing diseases, interacting with patients, understanding ailments, and deciphering body language are useful skills in a healthcare providers arsenal.

Build your own AI model

A no-code authoring platform to create new patient cases and customize patient history enables SMEs to build any patient case virtually.

  • Create with web-based authoring tool
  • Publish in VR, desktop, and mobile devices
  • Train your virtual patient by yourself
  • Perform real-time testing
  • Track and train new data

Features

Unlimited Cases

Create unlimited patient cases with unique history

Sentimental Analysis

Analyze verbal interactions with the patient

Deep Data Analysis

Understand what learner asks using deep data analysis

Natural Language Processing

NLP stack uses millions of training datasets for language understanding

Facial Expression

Program facial expressions of patients for specific answers

No-Code Authoring

Web-based interface for smooth case creation and customization

Custom Responses

Program specific response for any question

Case Management

A detailed dashboard to create, edit and add custom patient cases

Benefits

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