AI Medical Compendium Topic:
Clinical Competence

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Robotics in Dental Implantology.

Oral and maxillofacial surgery clinics of North America
Robotic surgery is no longer a fiction and its clinical applications are rapidly developing. Robotic surgery is increasingly used because of its minimal invasiveness. This article provides an overview of robotic surgery and its current applications i...

Surgical skill levels: Classification and analysis using deep neural network model and motion signals.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVES: Currently, the assessment of surgical skills relies primarily on the observations of expert surgeons. This may be time-consuming, non-scalable, inconsistent and subjective. Therefore, an automated system that can objectivel...

Automated semantic labeling of pediatric musculoskeletal radiographs using deep learning.

Pediatric radiology
BACKGROUND: An automated method for identifying the anatomical region of an image independent of metadata labels could improve radiologist workflow (e.g., automated hanging protocols) and help facilitate the automated curation of large medical imagin...

Machine learning methods for automated technical skills assessment with instructional feedback in ultrasound-guided interventions.

International journal of computer assisted radiology and surgery
OBJECTIVE: Currently, there is a worldwide shift toward competency-based medical education. This necessitates the use of automated skills assessment methods during self-guided interventions training. Making assessment methods that are transparent and...

Expert-led and artificial intelligence (AI) system-assisted tutoring course increase confidence of Chinese medical interns on suturing and ligature skills: prospective pilot study.

Journal of educational evaluation for health professions
PURPOSE: Lack of confidence in suturing/ligature skills due to insufficient practices and assessments was common among novice Chinese medical interns. This study aims to improve the skill acquisition of medical interns with new interventional program...

Design feasibility of an automated, machine-learning based feedback system for motivational interviewing.

Psychotherapy (Chicago, Ill.)
Direct observation of psychotherapy and providing performance-based feedback is the gold-standard approach for training psychotherapists. At present, this requires experts and training human coding teams, which is slow, expensive, and labor intensive...

A deep neural network improves endoscopic detection of early gastric cancer without blind spots.

Endoscopy
BACKGROUND: Gastric cancer is the third most lethal malignancy worldwide. A novel deep convolution neural network (DCNN) to perform visual tasks has been recently developed. The aim of this study was to build a system using the DCNN to detect early g...

Sensor-based machine learning for workflow detection and as key to detect expert level in laparoscopic suturing and knot-tying.

Surgical endoscopy
INTRODUCTION: The most common way of assessing surgical performance is by expert raters to view a surgical task and rate a trainee's performance. However, there is huge potential for automated skill assessment and workflow analysis using modern techn...

A randomized controlled trial of suicide prevention training for primary care providers: a study protocol.

BMC medical education
BACKGROUND: Suicide is a national public health crisis and a critical patient safety issue. It is the 10th leading cause of death overall and the second leading cause of death among adolescents and young adults (15-34 years old). Research shows 80% o...