AI Medical Compendium Topic:
Clinical Competence

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Physicians' required competencies in AI-assisted clinical settings: a systematic review.

British medical bulletin
BACKGROUND: Utilizing Artificial Intelligence (AI) in clinical settings may offer significant benefits. A roadblock to the responsible implementation of medical AI is the remaining uncertainty regarding requirements for AI users at the bedside. An ov...

Investigating surgeon performance metrics as key predictors of robotic herniorrhaphy outcomes using iterative machine learning models: retrospective study.

BJS open
BACKGROUND: Robotic data streams allow for capture of objective performance indicators, providing the ability to quantify and analyse operator technique and movement in optimizing postoperative outcomes. This study provided proof-of-concept demonstra...

Authentic assessment in medical education: exploring AI integration and student-as-partners collaboration.

Postgraduate medical journal
BACKGROUND: Traditional assessments often lack flexibility, personalized feedback, real-world applicability, and the ability to measure skills beyond rote memorization. These may not adequately accommodate diverse learning styles and preferences, nor...

Care to Explain? AI Explanation Types Differentially Impact Chest Radiograph Diagnostic Performance and Physician Trust in AI.

Radiology
Background It is unclear whether artificial intelligence (AI) explanations help or hurt radiologists and other physicians in AI-assisted radiologic diagnostic decision-making. Purpose To test whether the type of AI explanation and the correctness and...

Nursing Education and Artificial Intelligence.

Studies in health technology and informatics
The American Association of Colleges of Nursing (AACN) is shifting the nursing education paradigm to competency-based education. Competency-based nursing education focuses on the nursing students' demonstration of knowledge. This shift in nursing edu...

Automated Assessment of Simulated Laparoscopic Surgical Performance using 3DCNN.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Artificial intelligence & Computer vision have the potential to improve surgical training, especially for minimally invasive surgery by analyzing intraoperative and simulation videos for training or performance improvement purposes. Among these, tech...

Surgical Suturing Skill Assessment Using Estimated Hand Roll Angle from a Deep-learning Computer Vision Algorithm.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
This paper proposes a deep-learning computer vision algorithm to estimate hand roll angles for metric-based assessment of surgical suturing skills. The number of rolls metric, previously calculated directly from IMU data, counts the number of hand ro...