Results 51 to 60 of about 2,790,559 (273)
A comparison of medical education in Germany and the United States: From applying to medical school to the beginnings of residency [PDF]
, 2017 Both Germany and the United States of America have a long tradition of science and medical excellence reaching back as far as the nineteenth century. The same tribute must be paid to the medical educational system in both countries.
Gansbacher, Bernd +3 more
core +2 more sources
Learning Optimal Dynamic Treatment Regimes Using Causal Tree Methods in Medicine [PDF]
In Machine Learning for Healthcare Conference (pp. 146-171). PMLR
2022, 2022 Dynamic treatment regimes (DTRs) are used in medicine to tailor sequential treatment decisions to patients by considering patient heterogeneity. Common methods for learning optimal DTRs, however, have shortcomings: they are typically based on outcome prediction and not treatment effect estimation, or they use linear models that are restrictive for ...
arxiv
Do coursework summative assessments predict clinical performance? A systematic review [PDF]
, 2017 BACKGROUND: Two goals of summative assessment in health profession education programs are to ensure the robustness of high stakes decisions such as progression and licensing, and predict future performance.
Hing, Wayne +3 more
core +1 more source
BMC Medical Education, 2021 Background United States Medical Licensing Examination Step 1 will transition from numeric grading to pass/fail, sometime after January 2022. The aim of this study was to compare how program directors in orthopaedics and internal medicine perceive a pass/
Frederick Mun +8 more
doaj +1 more source
The Journal of the American Osteopathic Association, 2020 Context While recent streamlining of the graduate medical education process signals an important change from the traditional dichotomy between doctors of osteopathic medicine (DOs) and US-trained doctors of medicine (USMDs), this new uniformity does not ...
Michał Gajewski +7 more
semanticscholar +1 more source
AdaMedGraph: Adaboosting Graph Neural Networks for Personalized Medicine [PDF]
arXiv, 2023 Precision medicine tailored to individual patients has gained significant attention in recent times. Machine learning techniques are now employed to process personalized data from various sources, including images, genetics, and assessments. These techniques have demonstrated good outcomes in many clinical prediction tasks.
arxiv
USMLE Scores Do Not Predict the Clinical Performance of Emergency Medicine Residents [PDF]
, 2020 Background: Scores on “high-stakes” multiple choice exams such as the United States Medical Licensing Examination® (USMLE) are important screening and applicant ranking criteria used by residencies.Objective: We tested the hypothesis that USMLE scores do
Ramoska, Edward A +2 more
core
Should Osteopathic Students Applying to Allopathic Emergency Medicine Programs Take the USMLE Exam?
Western Journal of Emergency Medicine, 2014 Introduction: Board scores are an important aspect of an emergency medicine (EM) residency application. Residency directors use these standardized tests to objectively evaluate an applicant’s potential and help decide whether to interview a candidate ...
Moshe Weizberg +4 more
doaj +1 more source
Pharmacogenomics Instruction Depth, Extent, and Perception in US Medical Curricula
Journal of Medical Education and Curricular Development, 2020 Introduction: This descriptive study aimed to evaluate the depth, extent, and perception of pharmacogenomics instruction in schools and colleges of medicine in the United States.
Dara Basyouni, Aymen Shatnawi
doaj +1 more source
Advanced Intelligent Systems, EarlyView.This work presents a method to create neuron‐like (neuromorphic) spiking representations of texture that are invariant to the scanning speed and contact force applied in the tactile sensing process. In offline and real‐time experiments, these representations improve classification accuracy, computational efficiency, and the ability to identify textures
Mark M. Iskarous +9 more
wiley +1 more source