Introduction: Reliability is pivotal in surgical skills assessment. Video-based assessment can be used for objective assessment without physical presence of assessors. However, its reliability for surgical assessments remains largely unexplored. In this study, we evaluated the reliability of video-based versus physical assessments of novices' surgical performances on human cadavers and 3D-printed models-an emerging simulation modality.
Methods: Eighteen otorhinolaryngology residents performed 2 to 3 mastoidectomies on a 3D-printed model and 1 procedure on a human cadaver. Performances were rated by 3 experts evaluating the final surgical result using a well-known assessment tool. Performances were rated both hands-on/physically and by video recordings. Interrater reliability and intrarater reliability were explored using κ statistics and the optimal number of raters and performances required in either assessment modality was determined using generalizability theory.
Results: Interrater reliability was moderate with a mean κ score of 0.58 (range 0.53-0.62) for video-based assessment and 0.60 (range, 0.55-0.69) for physical assessment. Video-based and physical assessments were equally reliable (G coefficient 0.85 vs. 0.80 for 3D-printed models and 0.86 vs 0.87 for cadaver dissections). The interaction between rater and assessment modality contributed to 8.1% to 9.1% of the estimated variance. For the 3D-printed models, 2 raters evaluating 2 video-recorded performances or 3 raters physically assessing 2 performances yielded sufficient reliability for high-stakes assessment (G coefficient >0.8).
Conclusions: Video-based and physical assessments were equally reliable. Some raters were affected by changing from physical to video-based assessment; consequently, assessment should be either physical or video based, not a combination.
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http://dx.doi.org/10.1097/SIH.0000000000000672 | DOI Listing |
Sensors (Basel)
January 2025
Department of Electronics and Electrical Engineering, Faculty of Science and Technology, Keio University, 3-14-1, Hiyoshi, Kohoku-ku, Yokohama 223-8522, Japan.
In recent years, advancements in the interaction and collaboration between humans and have garnered significant attention. Social intelligence plays a crucial role in facilitating natural interactions and seamless communication between humans and Artificial Intelligence (AI). To assess AI's ability to understand human interactions and the components necessary for such comprehension, datasets like Social-IQ have been developed.
View Article and Find Full Text PDFLife (Basel)
January 2025
Department of Coaching Education, Marmara University Faculty of Sport Sciences, 34815 Istanbul, Turkey.
This study evaluated the validity and reliability of the TecnoBody D-Wall system in assessing joint range of motion (ROM) during overhead squat movements in healthy individuals, using Kinovea as a reference tool for data comparison. A total of 29 participants (16 males, 13 females) with a mean age of 28.41 ± 6.
View Article and Find Full Text PDFPLoS One
January 2025
Department of Biomedical and Robotics Engineering, Incheon National University, Incheon, Korea.
Gait disturbance is one of the most common symptoms in patients with Parkinson's disease (PD) that is closely associated with poor clinical outcomes. Recently, video-based human pose estimation (HPE) technology has attracted attention as a cheaper and simpler method for performing gait analysis than marker-based 3D motion capture systems. However, it remains unclear whether video-based HPE is a feasible method for measuring temporospatial and kinematic gait parameters in patients with PD and how this function varies with camera position.
View Article and Find Full Text PDFEur Heart J Digit Health
January 2025
Department of Cardiovascular Surgery of Zhongshan Hospital, Fudan University, Shanghai 200032, China.
Aims: Accurate heart function estimation is vital for detecting and monitoring cardiovascular diseases. While two-dimensional echocardiography (2DE) is widely accessible and used, it requires specialized training, is prone to inter-observer variability, and lacks comprehensive three-dimensional (3D) information. We introduce CardiacField, a computational echocardiography system using a 2DE probe for precise, automated left ventricular (LV) and right ventricular (RV) ejection fraction (EF) estimations, which is especially easy to use for non-cardiovascular healthcare practitioners.
View Article and Find Full Text PDFBMC Med Educ
January 2025
Department of Preventive Dental Sciences, College of Dentistry, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh, 11671, Saudi Arabia.
Background: This systematic review and meta-analysis were conducted to investigate the effects of live and video demonstrations of various dental procedures on undergraduate students' performance and satisfaction scores.
Materials And Methods: A comprehensive search was conducted across multiple databases, including MEDLINE (OVID), PubMed, Scopus, and Web of Science, supplemented by a manual search of bibliographic references from retrieved articles. The aim was to identify relevant randomized controlled trials and quasi-experimental trials that compared live demonstrations to video demonstrations in dental education, specifically focusing on undergraduate students' performance and satisfaction scores assessed using practical assessment rubrics and satisfaction questionnaires.
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