AIMC Topic: Learning Curve

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One-year outcomes for da Vinci single port robot for transoral robotic surgery.

Head & neck
BACKGROUND: The da Vinci single-port (SP) robot is a new instrument for transoral robotic surgery (TORS) in oropharyngeal cancers (OPSCCs). We describe one-year SP surgical outcomes and compare them to da Vinci Si outcomes.

Retzius-sparing Robotic Radical Prostatectomy for Surgeons in the Learning Curve: A Propensity Score-matching Analysis.

European urology focus
BACKGROUND: Several authors claimed that the Retzius-sparing robot-assisted radical prostatectomy (RS-RARP) needs a prolonged learning curve, and outcomes during this phase could be suboptimal.

Achieving robotic program best practice performance and cost versus laparoscopy: Two case studies define a framework for optimization.

The international journal of medical robotics + computer assisted surgery : MRCAS
BACKGROUND: Robotic surgery is seen by many hospital administrators and surgeons as slower and more expensive than laparoscopic surgery despite the implementation of commonly held robotic best practices. Multiple factors, including surgeon learning c...

Robotic simulation experience in undergraduate medical education: a perspective.

Journal of robotic surgery
Robotic surgery has been one of the most revolutionary advancements in surgery, and demand is anticipated to grow. The performance of robotic surgery has seen an exponential increase in recent years. This is largely due to the benefits offered by rob...

A machine learning approach to predict surgical learning curves.

Surgery
BACKGROUND: Contemporary surgical training programs rely on the repetition of selected surgical motor tasks. Such methodology is inherently open ended with no control on the time taken to attain a set level of proficiency, given the trainees' intrins...

A semi-supervised machine learning framework for microRNA classification.

Human genomics
BACKGROUND: MicroRNAs (miRNAs) are a family of short, non-coding RNAs that have been linked to critical cellular activities, most notably regulation of gene expression. The identification of miRNA is a cross-disciplinary approach that requires both c...

Semiautomatic Fetal Intelligent Navigation Echocardiography Has the Potential to Aid Cardiac Evaluations Even in Less Experienced Hands.

Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine
OBJECTIVES: To investigate the interobserver and intraobserver variability and corresponding learning curve in a semiautomatic approach for a standardized assessment of the fetal heart (fetal intelligent navigation echocardiography [FINE]).