Development of a Sensor Technology to objectively measure dexterity for Cardiac Surgical proficiency
GP Boyajian, A Zulbaran-Rojas, B Najafi… - The Annals of Thoracic …, 2024 - Elsevier
Background Technical skill is essential for good outcomes in cardiac surgery. However, no
objective methods exist to measure dexterity while performing surgery. The purpose of this …
objective methods exist to measure dexterity while performing surgery. The purpose of this …
Objective assessment of postural ergonomics in neurosurgery: integrating wearable technology in the operating room
OBJECTIVE Physical stress associated with the static posture of neurosurgeons over
prolonged periods can result in fatigue and musculoskeletal disorders. Objective …
prolonged periods can result in fatigue and musculoskeletal disorders. Objective …
Craniotomy simulator with force myography and machine learning-based skills assessment
Craniotomy is a fundamental component of neurosurgery that involves the removal of the
skull bone flap. Simulation-based training of craniotomy is an efficient method to develop …
skull bone flap. Simulation-based training of craniotomy is an efficient method to develop …
Movement-level process modeling of microsurgical bimanual and unimanual tasks
J Koskinen, A Huotarinen, AP Elomaa, B Zheng… - International Journal of …, 2022 - Springer
Purpose Microsurgical techniques require highly skilled manual handling of specialized
surgical instruments. Surgical process models are central for objective evaluation of these …
surgical instruments. Surgical process models are central for objective evaluation of these …
[HTML][HTML] A novel latex patch model enables cost-effective hands-on teaching in vascular surgery
M Gaenzle, A Geisler, H Hering, A Sabanov… - Surgery Open …, 2024 - Elsevier
Objectives We developed a new simulator for hands-on teaching of vascular surgical skills,
the Leipzig Latex Patch Model (LPM). This study aimed to quantify the effectiveness and …
the Leipzig Latex Patch Model (LPM). This study aimed to quantify the effectiveness and …
Identifying novel metrics of operative performance in surgical training: protocol for a Delphi consensus study
Introduction: Acquiring the technical and non-technical skills necessary to perform
operations safely requires time and dedication. The learning curve is steep and regular …
operations safely requires time and dedication. The learning curve is steep and regular …
Image-Guided Surgery Through ML and IoT
P Pandey, P Gauniya - Evolution of Machine Learning and Internet …, 2024 - taylorfrancis.com
The new era for surgical procedures has been brought about by the merging of machine
learning (ML) and the Internet of Things (IoT) in the quickly changing field of medical …
learning (ML) and the Internet of Things (IoT) in the quickly changing field of medical …
SURGICAL TEAM PERFORMANCE ANALYSIS USING COMPUTER VISION: A METHODOLOGY and USE CASE STUDY
M Ebnali - 2023 - psyarxiv.com
Current methods for assessing the performance of surgical teams, such as observational
rating scales and team self-assessments, have significant limitations. Existing methods …
rating scales and team self-assessments, have significant limitations. Existing methods …
[PDF][PDF] Craniotomy Simulator with Force Myography and Machine Learning-Based Skills Assessment. Bioengineering 2023, 10, 465
Craniotomy is a fundamental component of neurosurgery that involves the removal of the
skull bone flap. Simulation-based training of craniotomy is an efficient method to develop …
skull bone flap. Simulation-based training of craniotomy is an efficient method to develop …
[PDF][PDF] SURGICAL TEAM PERFORMANCE ANALYSIS USING COMPUTER VISION: A METHODOLOGY and USE CASE STUDY
MG Brigham, MC Gombolay - core-robotics.gatech.edu
Current methods for assessing the performance of surgical teams, such as observational
rating scales and team self-assessments, have significant limitations. Existing methods …
rating scales and team self-assessments, have significant limitations. Existing methods …