Mahsa Khalili - JoVE Visualize

Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Policies

Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Policies

Filters

Mahsa Khalili

Showing results (21-30 of 26) with videos related to

Pageof 3

Sort By:

You have reached the last page of results.This site can display upto 26 results.

IEEE ... International Conference on Rehabilitation Robotics : [Proceedings]|August 4, 2019

Towards the Development of a Learning-Based Intention Classification Framework for Pushrim-Activated Power-Assisted WheelchairsMahsa Khalili, Tianxin Tao, Ruolan Ye, et al.

BMJ Open Quality|August 7, 2025

Identifying diagnostic errors in the emergency department using trigger-based strategiesMahsa Khalili, Moein Enayati, Shrinath Patel, et al.

Journal of Patient Safety|September 24, 2025

Incorporating Machine Learning Driven Factors in the Design of Electronic-triggers to Detect Diagnostic Errors in the Emergency DepartmentMoein Enayati, Mahsa Khalili, Shrinath Patel, et al.

Resuscitation|July 15, 2023

The effect of recognition on survival after out-of-hospital cardiac arrest and implications for biosensor technologiesJacob Hutton, Joseph H Puyat, Michael Asamoah-Boaheng, et al.

Scientific Reports|March 21, 2023

Evaluation of transcutaneous near-infrared spectroscopy for early detection of cardiac arrest in an animal modelKatharina Raschdorf, Arman Mohseni, Kaavya Hogle, et al.

Resuscitation|June 15, 2025

Design projections for prospective studies evaluating the clinical effectiveness of cardiac arrest detection technologiesJacob Hutton, Mahsa Khalili, Saud Lingawi, et al.

Pageof 3

Search research articles

Showing results (21-30 of 26) with videos related to

Sort By:

Pageof 3

You have reached the last page of results.This site can display upto 26 results.

IEEE ... International Conference on Rehabilitation Robotics : [Proceedings]|August 4, 2019

Towards the Development of a Learning-Based Intention Classification Framework for Pushrim-Activated Power-Assisted WheelchairsMahsa Khalili, Tianxin Tao, Ruolan Ye, et al.

BMJ Open Quality|August 7, 2025

Identifying diagnostic errors in the emergency department using trigger-based strategiesMahsa Khalili, Moein Enayati, Shrinath Patel, et al.

Journal of Patient Safety|September 24, 2025

Incorporating Machine Learning Driven Factors in the Design of Electronic-triggers to Detect Diagnostic Errors in the Emergency DepartmentMoein Enayati, Mahsa Khalili, Shrinath Patel, et al.

Resuscitation|July 15, 2023

The effect of recognition on survival after out-of-hospital cardiac arrest and implications for biosensor technologiesJacob Hutton, Joseph H Puyat, Michael Asamoah-Boaheng, et al.

Scientific Reports|March 21, 2023

Evaluation of transcutaneous near-infrared spectroscopy for early detection of cardiac arrest in an animal modelKatharina Raschdorf, Arman Mohseni, Kaavya Hogle, et al.

Resuscitation|June 15, 2025

Design projections for prospective studies evaluating the clinical effectiveness of cardiac arrest detection technologiesJacob Hutton, Mahsa Khalili, Saud Lingawi, et al.

Pageof 3