AI Medical Compendium Topic:
Clinical Competence

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Man against machine: diagnostic performance of a deep learning convolutional neural network for dermoscopic melanoma recognition in comparison to 58 dermatologists.

Annals of oncology : official journal of the European Society for Medical Oncology
BACKGROUND: Deep learning convolutional neural networks (CNN) may facilitate melanoma detection, but data comparing a CNN's diagnostic performance to larger groups of dermatologists are lacking.

Medical Education Must Move From the Information Age to the Age of Artificial Intelligence.

Academic medicine : journal of the Association of American Medical Colleges
Noteworthy changes coming to the practice of medicine require significant medical education reforms. While proposals for such reforms abound, they are insufficient because they do not adequately address the most fundamental change-the practice of med...

Artificial Neural Network for Laparoscopic Skills Classification Using Motion Signals from Apple Watch.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
The acquisition of laparoscopic technical skills is constrained by the limited training opportunities and the necessity of having staff physicians on site to provide feedback to the trainees. In addition, the assessment tools used to measure trainees...

SATR-DL: Improving Surgical Skill Assessment And Task Recognition In Robot-Assisted Surgery With Deep Neural Networks.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
PURPOSE: This paper focuses on an automated analysis of surgical motion profiles for objective skill assessment and task recognition in robot-assisted surgery. Existing techniques heavily rely on conventional statistic measures or shallow modelings b...

Robot Utilization for Nursing Technical Support Emphasizing Nurse-Patient Synchronization.

Studies in health technology and informatics
Handing down nursing skills of experienced nurses to newcomer nurses is difficult. Kawano's earlier studies have specifically examined brain wave synchronization between a nurse and patient during intravenous injection. Presumably, a good technique c...

Can Robots Accelerate the Learning Curve for Surgical Training? An Analysis of Residents and Medical Students.

Annals of the Academy of Medicine, Singapore
Surgical traineeship has traditionally been based on a master apprentice model where learning takes place in the operating theatre. This approach has changed over the past few years with greater emphasis on surgical training taking place within the s...