AI to assess surgical skills

Share this Post:

Twitter
LinkedIn
Email
Print

Led by Dr. Marisa Louridas, this mixed methods study explores if the BlackBox Explorer system (Surgical Safety Technology, Toronto Ontario) can streamline how surgical trainees learn from video review, improve the quality of technical skills assessment, and relieve multiple time demands for surgical trainees and faculty.

Other PROJECTS To Explore:

AI to assess surgical skills

Led by Dr. Marisa Louridas, this mixed methods study explores if the BlackBox Explorer system (Surgical Safety Technology, Toronto Ontario) can streamline how surgical trainees

Read More »

PEIT-MH Project

PEIT-MH: Patient Experiencing involuntary transport in Mental Health. Led by Dr. Saadia Sediqzadah, this study will examine the experiences of patients apprehended by the police

Read More »

QuILT Project

QuILT: Quality Improvement in Labour & Delivery Transfers and Consults QuILT brings family doctors, midwives, nurses, obstericians and other clinicians together with education researchers to

Read More »

TeaChR Project

TeaChR: Teaching Critical Reflection The TeaChR project builds off prior work that shows critical reflection could be a crucial capacity underlying the social roles of health professionals

Read More »
Skip to content