AIMC Topic: Internship and Residency

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To the Editor: An Urgent Call to Action to Integrate Artificial Intelligence Curriculum Into Medical Education.

Journal of graduate medical education Jun 13, 2024
Artificial Intelligence Curriculum Education, Medical Humans Internship and Residency
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Residency Applications in the Era of Generative Artificial Intelligence.

Journal of graduate medical education Jun 13, 2024
Education, Medical, Graduate Internship and Residency Humans Artificial Intelligence
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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...
Humans Female Pediatrics Educational Measurement Competency-Based Education Emotions Faculty, Medical Male General Surgery Emergency Medicine Natural Language Processing Internship and Residency Surveys and Questionnaires Education, Medical, Graduate Clinical Competence
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Automated detection of steps in videos of strabismus surgery using deep learning.

BMC ophthalmology Jun 10, 2024
BACKGROUND: Learning to perform strabismus surgery is an essential aspect of ophthalmologists' surgical training. Automated classification strategy for surgical steps can improve the effectiveness of training curricula and the efficient evaluation of...
Deep Learning Clinical Competence ROC Curve Ophthalmology Strabismus Education, Medical, Graduate Humans Video Recording Oculomotor Muscles Ophthalmologic Surgical Procedures Neural Networks, Computer Internship and Residency Algorithms
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Artificial Intelligence vs. Doctors: Diagnosing Necrotizing Enterocolitis on Abdominal Radiographs.

Journal of pediatric surgery Jun 8, 2024
BACKGROUND: Radiographic diagnosis of necrotizing enterocolitis (NEC) is challenging. Deep learning models may improve accuracy by recognizing subtle imaging patterns. We hypothesized it would perform with comparable accuracy to that of senior surgic...
Radiography, Abdominal Enterocolitis, Necrotizing Retrospective Studies Infant, Newborn Deep Learning ROC Curve Internship and Residency Clinical Competence Cohort Studies Humans Neural Networks, Computer Artificial Intelligence
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Should my recommendation letter be written by artificial intelligence?

Canadian journal of surgery. Journal canadien de chirurgie Jun 6, 2024
Letters of recommendation are increasingly important for the residency match. We assessed whether an artificial intelligence (AI) tool could help in writing letters of recommendation by analyzing recommendation letters written by 3 academic staff and...
Correspondence as Topic Writing Internship and Residency Orthopedics Humans Personnel Selection Artificial Intelligence
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Gender Bias in Artificial Intelligence-Written Letters of Reference.

Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery May 8, 2024
OBJECTIVE: Letters of reference (LORs) play an important role in postgraduate residency applications. Human-written LORs have been shown to carry implicit gender bias, such as using more agentic versus communal words for men, and more frequent doubt-...
Humans Artificial Intelligence Female Otolaryngology Sexism Male Internship and Residency Correspondence as Topic
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Artificial intelligence improves resident detection of pediatric and young adult upper extremity fractures.

Skeletal radiology May 2, 2024
PURPOSE: We wished to evaluate if an open-source artificial intelligence (AI) algorithm ( https://www.childfx.com ) could improve performance of (1) subspecialized musculoskeletal radiologists, (2) radiology residents, and (3) pediatric residents in ...
Clinical Competence Adolescent Child, Preschool Radiology Radiographic Image Interpretation, Computer-Assisted Child Fractures, Bone Young Adult Pediatrics Humans Male Internship and Residency Algorithms Artificial Intelligence Infant Female Infant, Newborn
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An Artificial Intelligence-Driven Approach for Automatic Evaluation of Right-to-Left Shunt Grades in Saline-Contrasted Transthoracic Echocardiography.

Ultrasound in medicine & biology May 1, 2024
BACKGROUND: Intracardiac or pulmonary right-to-left shunt (RLS) is a common cardiac anomaly associated with an increased risk of neurological disorders, specifically cryptogenic stroke. Saline-contrasted transthoracic echocardiography (scTTE) is ofte...
Internship and Residency Cardiology Foramen Ovale, Patent Echocardiography Contrast Media Ischemic Stroke Datasets as Topic Saline Solution Area Under Curve Artificial Intelligence Image Interpretation, Computer-Assisted Reproducibility of Results Humans Sensitivity and Specificity
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The role of artificial intelligence in training ENT residents: a survey on ChatGPT, a new method of investigation.

Acta otorhinolaryngologica Italica : organo ufficiale della Societa italiana di otorinolaringologia e chirurgia cervico-facciale Apr 30, 2024
OBJECTIVE: The primary focus of this study was to analyze the adoption of ChatGPT among Ear, Nose, and Throat (ENT) trainees, encompassing its role in scientific research and personal study. We examined in which year ENT trainees become involved in c...
Adult Italy Humans Male Internship and Residency Artificial Intelligence Surveys and Questionnaires Otolaryngology Female
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