AIMC Topic: Clinical Competence
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Defining Medical AI Competencies for Medical School Graduates: Outcomes of a Delphi Survey and Medical Student/Educator Questionnaire of South Korean Medical Schools.
Academic medicine : journal of the Association of American Medical Colleges
Dec 28, 2023
PURPOSE: Given the increasing significance and potential impact of artificial intelligence (AI) technology on health care delivery, there is an increasing demand to integrate AI into medical school curricula. This study aimed to define medical AI com...
AI-augmented clinical decision in paediatric appendicitis: can an AI-generated model improve trainees' diagnostic capability?
European journal of pediatrics
Dec 27, 2023
UNLABELLED: Accurate diagnosis of paediatric appendicitis remains a challenge due to its diverse clinical presentations and reliance on subjective assessments. The integration of artificial intelligence (AI) with an expert's ''clinical sense'' has th...
Effects of a force feedback function in a surgical robot on the suturing procedure.
Surgical endoscopy
Dec 13, 2023
BACKGROUND: Currently, widely used robotic surgical systems do not provide force feedback. This study aimed to evaluate the impact and benefits of a force feedback function on the suturing procedure.
Impact of automatic acquisition of key clinical information on the accuracy of electrocardiogram interpretation: a cross-sectional study.
BMC medical education
Dec 8, 2023
BACKGROUND: The accuracy of electrocardiogram (ECG) interpretation by doctors are affected by the available clinical information. However, having a complete set of clinical details before making a diagnosis is very difficult in the clinical setting e...
How Can the Clinical Aptitude of AI Assistants Be Assayed?
Journal of medical Internet research
Dec 5, 2023
Large language models (LLMs) are exhibiting remarkable performance in clinical contexts, with exemplar results ranging from expert-level attainment in medical examination questions to superior accuracy and relevance when responding to patient queries...
Accuracy of a Large Language Model as a new tool for optometry education.
Clinical & experimental optometry
Dec 3, 2023
CLINICAL RELEVANCE: The unsupervised introduction of certain Artificial Intelligence tools in optometry education may challenge the proper acquisition of accurate clinical knowledge and skills proficiency.
Improving mammography interpretation for both novice and experienced readers: a comparative study of two commercial artificial intelligence software.
European radiology
Nov 8, 2023
OBJECTIVES: To evaluate the improvement of mammography interpretation for novice and experienced radiologists assisted by two commercial AI software.
The application of objective clinical human reliability analysis (OCHRA) in the assessment of basic robotic surgical skills.
Surgical endoscopy
Nov 6, 2023
BACKGROUND: Using a validated, objective, and standardised assessment tool to assess progression and competency is essential for basic robotic surgical training programmes. Objective clinical human reliability analysis (OCHRA) is an error-based asses...
A Deep Learning Approach to Classify Surgical Skill in Microsurgery Using Force Data from a Novel Sensorised Surgical Glove.
Sensors (Basel, Switzerland)
Nov 3, 2023
Microsurgery serves as the foundation for numerous operative procedures. Given its highly technical nature, the assessment of surgical skill becomes an essential component of clinical practice and microsurgery education. The interaction forces betwee...
Surgical skill level classification model development using EEG and eye-gaze data and machine learning algorithms.
Journal of robotic surgery
Oct 21, 2023
The aim of this study was to develop machine learning classification models using electroencephalogram (EEG) and eye-gaze features to predict the level of surgical expertise in robot-assisted surgery (RAS). EEG and eye-gaze data were recorded from 11...
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