AIMC Topic: Clinical Competence

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What are clinically relevant performance metrics in robotic surgery? A systematic review of the literature.

Journal of robotic surgery
A crucial element of any surgical training program is the ability to provide procedure-specific, objective, and reliable measures of performance. During robotic surgery, objective clinically relevant performance metrics (CRPMs) can provide tailored c...

Multi-Modal Deep Learning for Assessing Surgeon Technical Skill.

Sensors (Basel, Switzerland)
This paper introduces a new dataset of a surgical knot-tying task, and a multi-modal deep learning model that achieves comparable performance to expert human raters on this skill assessment task. Seventy-two surgical trainees and faculty were recruit...

Is primary health care ready for artificial intelligence? What do primary health care stakeholders say?

BMC medical informatics and decision making
BACKGROUND: Effective deployment of AI tools in primary health care requires the engagement of practitioners in the development and testing of these tools, and a match between the resulting AI tools and clinical/system needs in primary health care. T...

Competencies for the Use of Artificial Intelligence-Based Tools by Health Care Professionals.

Academic medicine : journal of the Association of American Medical Colleges
PURPOSE: The expanded use of clinical tools that incorporate artificial intelligence (AI) methods has generated calls for specific competencies for effective and ethical use. This qualitative study used expert interviews to define AI-related clinical...

Training in the protocol for robotic undocking for life emergency support (RULES) improves team communication, coordination and reduces the time required to decouple the robotic system from the patient.

The international journal of medical robotics + computer assisted surgery : MRCAS
INTRODUCTION: Robotic surgery has expanded on it's surgical application and it is also noted an increase in surgical procedures complexity. Occurrence of emergency situations that require conversion of the minimally invasive access route to open acce...

Exploration of the Application Effect of the Darongtong Course Model Based on Deep Learning Enhancement in Nursing.

Contrast media & molecular imaging
In order to explore the application effect of the Darongtong course model based on deep learning enhancement in nursing, a total of 500 students in the school are investigated. The students in the contrast set are given the traditional teaching mode,...

Robotic simulation: validation and qualitative assessment of a general surgery resident training curriculum.

Surgical endoscopy
BACKGROUND: The da Vinci skills simulation curriculum has been validated in the literature. The updated simulator, SimNow, features restructured exercises that have not been formally validated. The purpose of this study is to validate the SimNow resi...

The development of an eye movement-based deep learning system for laparoscopic surgical skills assessment.

Scientific reports
The development of valid, reliable, and objective methods of skills assessment is central to modern surgical training. Numerous rating scales have been developed and validated for quantifying surgical performance. However, many of these scoring syste...