AIMC Topic: Clinical Competence
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Improving the diagnostic performance of inexperienced readers for thyroid nodules through digital self-learning and artificial intelligence assistance.
Frontiers in endocrinology
Jul 2, 2024
BACKGROUND: Data-driven digital learning could improve the diagnostic performance of novice students for thyroid nodules.
Deep Learning Analysis of Surgical Video Recordings to Assess Nontechnical Skills.
JAMA network open
Jul 1, 2024
IMPORTANCE: Assessing nontechnical skills in operating rooms (ORs) is crucial for enhancing surgical performance and patient safety. However, automated and real-time evaluation of these skills remains challenging.
Unveiling surgical expertise through machine learning in a novel VR/AR spinal simulator: A multilayered approach using transfer learning and connection weights analysis.
Computers in biology and medicine
Jun 29, 2024
BACKGROUND: Virtual and augmented reality surgical simulators, integrated with machine learning, are becoming essential for training psychomotor skills, and analyzing surgical performance. Despite the promise of methods like the Connection Weights Al...
Fostering Clinical Judgment and Promoting Transition Into First Clinical Rotation Through Active Learning.
Nursing education perspectives
Jun 26, 2024
Undergraduate nursing education builds on knowledge obtained from previous semesters to grow critical thinking skills and promote clinical judgment attainment. Transitioning knowledge from the classroom to the clinical setting is often difficult. Stu...
Optimizing Nursing Productivity: Exploring the Role of Artificial Intelligence, Technology Integration, Competencies, and Leadership.
Journal of nursing management
Jun 26, 2024
BACKGROUND: In the rapidly evolving healthcare management landscape, technology integration and artificial intelligence utilization play pivotal roles in shaping employee productivity. This research investigates these dynamics within Riyadh Province,...
Prediction of Robotic Anastomosis Competency Evaluation (RACE) metrics during vesico-urethral anastomosis using electroencephalography, eye-tracking, and machine learning.
Scientific reports
Jun 25, 2024
Residents learn the vesico-urethral anastomosis (VUA), a key step in robot-assisted radical prostatectomy (RARP), early in their training. VUA assessment and training significantly impact patient outcomes and have high educational value. This study a...
The Impact of an Artificial Intelligence Certificate Program on Radiology Resident Education.
Academic radiology
Jun 21, 2024
RATIONALE AND OBJECTIVES: The objective of this study was to evaluate the effectiveness of a pilot artificial intelligence (AI) certificate program in aiding radiology trainees to develop an understanding of the evolving role and application of artif...
Exploring the Use of Natural Language Processing to Understand Emotions of Trainees and Faculty Regarding Entrustable Professional Activity Assessments.
Journal of graduate medical education
Jun 13, 2024
In medical education, artificial intelligence techniques such as natural language processing (NLP) are starting to be used to capture and analyze emotions through written text. To explore the application of NLP techniques to understand resident and...
Assessing AI Awareness and Identifying Essential Competencies: Insights From Key Stakeholders in Integrating AI Into Medical Education.
JMIR medical education
Jun 12, 2024
BACKGROUND: The increasing importance of artificial intelligence (AI) in health care has generated a growing need for health care professionals to possess a comprehensive understanding of AI technologies, requiring an adaptation in medical education.
Artificial Intelligence Improves the Ability of Physicians to Identify Prostate Cancer Extent.
The Journal of urology
Jun 11, 2024
PURPOSE: Defining prostate cancer contours is a complex task, undermining the efficacy of interventions such as focal therapy. A multireader multicase study compared physicians' performance using artificial intelligence (AI) vs standard-of-care metho...
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