Category Ranking

98%

Total Visits

921

Avg Visit Duration

2 minutes

Citations

20

Article Abstract

Observation plays a key role in the development of surgical skills, as it allows trainees to learn from experts and improve their performance through trial-and-error practice. This process, known as motor learning, involves the creation of new neural pathways that enable precise control of surgical instruments through hand movements. In recent years, there has been a shift towards minimally invasive surgery, which requires surgeons to continually learn new motor skills to control specialized instrumentation. Motor learning can be enhanced through repetition and the observation of expert performances. Observational learning is particularly useful when it is used in combination with physical practice, as it can provide hints and clues about important aspects of the task that may not be immediately apparent through verbal instruction alone. The role of mirror neurons, which are activated both when an action is performed and when it is observed, is also important in the process of observational learning. By understanding the mechanisms behind observational learning and the factors that influence its effectiveness, trainers can optimize the use of this method in surgical training.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10611665PMC
http://dx.doi.org/10.1007/s13193-023-01798-6DOI Listing

Publication Analysis

Top Keywords

observational learning
16
motor learning
8
learning
5
observational
4
surgical
4
learning surgical
4
surgical skill
4
skill development
4
development observation
4
observation plays
4

Similar Publications

Introduction Nephrogenic diabetes insipidus (NDI) is a rare condition caused by renal resistance to the action of antidiuretic hormone (ADH) at the level of the distal tubule, resulting in impaired urinary concentration and consequent polyuria. NDI may be hereditary, most commonly X-linked due to AVPR2 gene mutations, or acquired. Objective To characterize the clinical features, management strategies, and outcomes of patients with NDI followed at a tertiary pediatric nephrology center.

View Article and Find Full Text PDF

Background And Aims: Acute appendicitis is the most common surgical emergency worldwide. Obtaining a correct diagnosis and timely management can be challenging even in modern medicine. Hence, appendicitis is still considered a "high-risk" diagnosis for litigation and claims of malpractice.

View Article and Find Full Text PDF

Familiarity gates socially transmitted aggression via the medial amygdala.

J Neurosci

September 2025

Division of Molecular and Integrative Physiology, Department of Biomedical Sciences, Southern Illinois University School of Medicine, Carbondale, IL, 62903

Aggressive behavior can be acquired through observation, providing adaptive advantages but also posing significant social risks. In humans, individuals repeatedly exposed to aggression are more likely to engage in violent behavior later in life. Yet, the environmental factors and neural mechanisms underlying observationally acquired aggression remain unclear.

View Article and Find Full Text PDF

Introduction: There are estimated to be 3.4 million patients in the UK living after a diagnosis of cancer. We know very little about their quality of life or healthcare usage.

View Article and Find Full Text PDF

Random forest-based predictor selection and pneumonia risk probability assessment in acute respiratory infections: A cross-sectional study in Chongqing, China, 2023-2024.

Biosaf Health

August 2025

Public Health Emergency Management Innovation Center, School of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, State Key Laboratory of Respiratory Health and Multimorbidity, Key Laboratory of Pathogen Infection Prevention and Control (Pek

Progression of acute respiratory infection (ARI) to pneumonia increases severity and healthcare burden. Limited evidence exists on using machine learning to identify predictors from demographics, clinical, and pathogen detection data. This study aimed to identify pneumonia predictors in ARI patients using machine learning methods.

View Article and Find Full Text PDF