AIMC Topic: Clinical Competence

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Intelligent detection endoscopic assistant: An artificial intelligence-based system for monitoring blind spots during esophagogastroduodenoscopy in real-time.

Digestive and liver disease : official journal of the Italian Society of Gastroenterology and the Italian Association for the Study of the Liver
BACKGROUND: Observation of the entire stomach during esophagogastroduodenoscopy (EGD) is important; however, there is a lack of effective evaluation tools.

Machine learning analyses of automated performance metrics during granular sub-stitch phases predict surgeon experience.

Surgery
Automated performance metrics objectively measure surgeon performance during a robot-assisted radical prostatectomy. Machine learning has demonstrated that automated performance metrics, especially during the vesico-urethral anastomosis of the robot-...

Ready for the robot? A cross-sectional survey of OB/GYN fellowship directors' experience and expectations of their incoming fellow's robotic surgical skills.

Journal of robotic surgery
To describe OB/GYN fellowship directors' (FDs) observations, expectations, and preferences of incoming fellow's robotic surgery preparedness. Cross-sectional study. OB/GYN FDs in gynecologic oncology, minimally invasive gynecologic surgery, female pe...

The role of data science and machine learning in Health Professions Education: practical applications, theoretical contributions, and epistemic beliefs.

Advances in health sciences education : theory and practice
Data science is an inter-disciplinary field that uses computer-based algorithms and methods to gain insights from large and often complex datasets. Data science, which includes Artificial Intelligence techniques such as Machine Learning (ML), has bee...

Automatic analysis of summary statements in virtual patients - a pilot study evaluating a machine learning approach.

BMC medical education
BACKGROUND: The ability to compose a concise summary statement about a patient is a good indicator for the clinical reasoning abilities of healthcare students. To assess such summary statements manually a rubric based on five categories - use of sema...

Clearness of operating field: a surrogate for surgical skills on in vivo clinical data.

International journal of computer assisted radiology and surgery
PURPOSE: Automatic surgical skill assessment is an emerging field beneficial to both efficiency and quality of surgical education and practice. Prior works largely evaluate skills on elementary tasks performed in the simulation laboratory, which cann...

A machine learning algorithm supports ultrasound-naïve novices in the acquisition of diagnostic echocardiography loops and provides accurate estimation of LVEF.

The international journal of cardiovascular imaging
Left ventricular ejection fraction (LVEF) is the most important parameter in the assessment of cardiac function. A machine-learning algorithm was trained to guide ultrasound-novices to acquire diagnostic echocardiography images. The artificial intell...

easyEndo robotic endoscopy system: Development and usability test in a randomized controlled trial with novices and physicians.

The international journal of medical robotics + computer assisted surgery : MRCAS
BACKGROUND: Some difficulties are common when using endoscopes. Steering is not intuitive, the endoscope weight is a physical burden to physicians and communication problems often occur between operators.

Experienced bedside-assistants improve operative outcomes for surgeons early in their learning curve for robot assisted laparoscopic radical prostatectomy.

Journal of robotic surgery
Robot-assisted laparoscopic radical prostatectomy (RALP) relies heavily on the bedside assistant (BA). Currently, the relationship between BA experience and surgical outcomes in robotic surgery is not clear. We examined whether bedside assistant expe...