Back close

MedSIM Overview

Start Date: March 01, 2011 to Present

Project Incharge : Prof. Dr. Prema Nedungadi

Center : AmritaCREATE

School :  School of Medicine  &  School of Computing

Funded by : MeitY, Government of India

MedSIM Overview

MedSIM 1.0 Project Overview

MedSIM is an e-learning platform that supports computer based medical simulations that replicate clinical scenarios by integrating 2D and 3D animations. It allows features such as deliberate practice and feedback for skills development, exposure to difficult to visualise procedures, protocols and case studies using virtual patient cases.

To know more about MedSIM 1.0 visit Project Page

MedSIM 2.0 Project Overview

MedSIM is an interactive e-learning platform that supports case-based medical simulations that replicate clinical case scenarios by integrating 2D and 3D animations. It allows features such as deliberate practice and feedback for skills development, exposure to challenging visualize procedures, protocols, and case studies using virtual patient cases. This immersive case-based learning software allows the students to review the results and responses before making diagnostic clinical and management choices.

To know more about MedSIM 2.0 visit Project Page.

Related Projects

Digital Shiksha for Advanced Clinical Learning
Digital Shiksha for Advanced Clinical Learning
A Robust Approach for Improving the Accuracy of IMU based Indoor Mobile Robot Localization
A Robust Approach for Improving the Accuracy of IMU based Indoor Mobile Robot Localization
Novel Anti-MRSA Compounds from Padina tetrastromatica: Identification, Isolation and Mass Spectrometric characterization
Novel Anti-MRSA Compounds from Padina tetrastromatica: Identification, Isolation and Mass Spectrometric characterization
Screening, Identification and Characterisation of Bacteriocins Isolated from Wine Microflora
Screening, Identification and Characterisation of Bacteriocins Isolated from Wine Microflora
sEMG based segmentation parameter influence on Hand gesture recognition using Deep Learning
sEMG based segmentation parameter influence on Hand gesture recognition using Deep Learning
Admissions Apply Now