AIMC Topic: Internship and Residency
Clear Filters Showing 161 to 170 of 184 articles
Considerations for use of artificial intelligence in the dermatology residency application process.
Clinical and experimental dermatology
Aug 22, 2024
Hybrid Artificial Intelligence Solution Combining Convolutional Neural Network and Analytical Approach Showed Higher Accuracy in A-lines Detection on Lung Ultrasound in Thoracic Surgery Patients Compared with Radiology Resident.
Neuro endocrinology letters
Aug 12, 2024
OBJECTIVES: Lung ultrasound reduces the number of chest X-rays after thoracic surgery and thus the radiation. COVID-19 pandemic has accelerated research in lung ultrasound artifacts detection using artificial intelligence. This study evaluates the ac...
Preparing Radiologists for an Artificial Intelligence-enhanced Future: Tips for Trainees.
Radiographics : a review publication of the Radiological Society of North America, Inc
Aug 1, 2024
Practical applications of artificial intelligence in dermatology residency training.
Clinical and experimental dermatology
Jul 19, 2024
Integrating Artificial Intelligence Into Radiology Resident Training: A Call to Action.
WMJ : official publication of the State Medical Society of Wisconsin
Jul 1, 2024
Revolutionizing dermatology residency: artificial intelligence for knowledge and clinical milestones assessment.
Clinical and experimental dermatology
Jun 25, 2024
Artificial Intelligence: Reflections on Its Use to Promote DEIA Principles for Residency Recruitment.
Family medicine
Jun 1, 2024
Letter to the Editor Regarding "Targeting the Future: Developing a Training Curriculum for Robotic Assisted Neurosurgery".
World neurosurgery
Apr 1, 2024
Residents, Faculty, and Artificial Intelligence: Brave New World or Utopia?
Journal of graduate medical education
Oct 1, 2023
Resident Training in Robotic Thoracic Surgery.
Thoracic surgery clinics
Feb 1, 2023
The use of a robotic surgical platform has become common place in thoracic surgery programs throughout the United States. Formal training paradigms need to be reevaluated to allow for effective and efficient training of thoracic surgery residents and...
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