Ultrasound Training for Obstetrics and Gynecology Residents
Bibliographic record
Abstract
ARticleultrasound evaluation of the most common gynecologic disorders.The curriculum consists of the online modules in TTUHSC El Paso Learning Management System (LMS), Canvas, hands-on training sessions, and periodic ultrasound simulation sessions.The purpose of the Pelvic Ultrasound hybrid curriculum was to advance the safe and effective use of ultrasound examination in reproductive medicine, infertility, gynecologic oncology, urogynecology, and assessment of normal and abnormal early pregnancy.The curriculum was created by an OB-GYN professor (SKP) with more than thirty years of experience in academic medicine, reproductive endocrinology, OB-GYN ultrasound, and ultrasound-guided procedures.The trainees are provided with the pelvic ultrasound course syllabus to familiarize themselves with the course content, learning objectives, course organization, technical requirements, and expectations.For interns and/or first-year residents, this may be their first experience with canvas.To familiarize themselves with the LMS, they are provided with the navigation guide and online IntroductIonDiagnostic ultrasound imaging is the most used imaging modality in obstetrics and gynecology (OB-GYN).In the United States and Europe, ultrasound has become an established part of the curriculum in OB-GYN residency programs.Residents are expected to be proficient in understanding, performance, and interpretation of pelvic ultrasound examinations.1,2 American Institute for Ultrasound in Medicine (AIUM) published an ultrasound curriculum for OB-GYN postgraduate training programs in the United States.The program provides a comprehensive introduction to ultrasound, as well as focused training in OB-GYN imaging.On-site faculty instructors are encouraged to use this curriculum for standardized ultrasound education across the United States.3 Here we discuss our experience with creating and implementing the institution-specific pelvic and obstetric ultrasound curriculum for OB-GYN residents. Pelvic Ultrasound CurriculumIn 2015, Green et al. evaluated the state of ultrasound education among Canada's 16 postgraduate training programs in OB-GYN ultrasound. 4 Their results confirmed a suspected gap in resident exposure to GYN-specific ultrasound training.While most residency programs in Canada provided a formal OB ultrasound curriculum consisting of didactics and hands-on, a smaller percentage of programs reported having a formal GYN ultrasound curriculum and hands-on experience.Two-thirds of OB-GYN residents in Canada thought that their current training in OB ultrasound would adequately prepare them for practice, while less than one-third believed that they would be sufficiently trained in GYN ultrasound. 4 The pelvic ultrasound curriculum for OB-GYN residents in our institution was developed to ensure an adequate understanding of 1-
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.041 | 0.009 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".