AIMC Topic: Clinical Competence
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Evaluating AI Competence in Specialized Medicine: Comparative Analysis of ChatGPT and Neurologists in a Neurology Specialist Examination in Spain.
JMIR medical education
Nov 14, 2024
BACKGROUND: With the rapid advancement of artificial intelligence (AI) in various fields, evaluating its application in specialized medical contexts becomes crucial. ChatGPT, a large language model developed by OpenAI, has shown potential in diverse ...
Making Pathologists Ready for the New Artificial Intelligence Era: Changes in Required Competencies.
Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc
Nov 13, 2024
In recent years, there has been an increasing interest in developing and using artificial intelligence (AI) models in pathology. Although pathologists generally have a positive attitude toward AI, they report a lack of knowledge and skills regarding ...
Cultivating diagnostic clarity: The importance of reporting artificial intelligence confidence levels in radiologic diagnoses.
Clinical imaging
Nov 13, 2024
Accurate image interpretation is essential in the field of radiology to the healthcare team in order to provide optimal patient care. This article discusses the use of artificial intelligence (AI) confidence levels to enhance the accuracy and dependa...
Precision of artificial intelligence in paediatric cardiology multimodal image interpretation.
Cardiology in the young
Nov 11, 2024
Multimodal imaging is crucial for diagnosis and treatment in paediatric cardiology. However, the proficiency of artificial intelligence chatbots, like ChatGPT-4, in interpreting these images has not been assessed. This cross-sectional study evaluates...
Performance of Multimodal Large Language Models in Japanese Diagnostic Radiology Board Examinations (2021-2023).
Academic radiology
Nov 8, 2024
RATIONALE AND OBJECTIVES: To evaluate the performance of various multimodal large language models (LLMs) in the Japanese Diagnostic Radiology Board Examinations (JDRBE) both with and without images.
Bias Sensitivity in Diagnostic Decision-Making: Comparing ChatGPT with Residents.
Journal of general internal medicine
Nov 7, 2024
BACKGROUND: Diagnostic errors, often due to biases in clinical reasoning, significantly affect patient care. While artificial intelligence chatbots like ChatGPT could help mitigate such biases, their potential susceptibility to biases is unknown.
Artificial Intelligence Efficacy as a Function of Trainee Interpreter Proficiency: Lessons from a Randomized Controlled Trial.
AJNR. American journal of neuroradiology
Nov 7, 2024
BACKGROUND AND PURPOSE: Recently, artificial intelligence tools have been deployed with increasing speed in educational and clinical settings. However, the use of artificial intelligence by trainees across different levels of experience has not been ...
Artificial intelligence based assessment of minimally invasive surgical skills using standardised objective metrics - A narrative review.
American journal of surgery
Nov 6, 2024
INTRODUCTION: Many studies display significant heterogeneity in the reliability of artificial intelligence (AI) assessment of minimally invasive surgical (MIS) skills. Our objective is to investigate whether AI systems utilising standardised objectiv...
Artificial Intelligence (AI)-Based simulators versus simulated patients in undergraduate programs: A protocol for a randomized controlled trial.
BMC medical education
Nov 5, 2024
BACKGROUND: Healthcare simulation is critical for medical education, with traditional methods using simulated patients (SPs). Recent advances in artificial intelligence (AI) offer new possibilities with AI-based simulators, introducing limitless oppo...
A deep learning algorithm that aids visualization of femoral neck fractures and improves physician training.
Injury
Oct 31, 2024
PURPOSE: Missed fractures are the most common radiologic error in clinical practice, and erroneous classification could lead to inappropriate treatment and unfavorable prognosis. Here, we developed a fully automated deep learning model to detect and ...
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