Results 81 to 90 of about 10,330,551 (322)

End to End Generative Meta Curriculum Learning For Medical Data Augmentation [PDF]

open access: yesarXiv, 2022
Current medical image synthetic augmentation techniques rely on intensive use of generative adversarial networks (GANs). However, the nature of GAN architecture leads to heavy computational resources to produce synthetic images and the augmentation process requires multiple stages to complete.
arxiv  

Medical students in psychiatry [PDF]

open access: yesInternational Review of Psychiatry, 2013
Psychiatric services around the globe are undergoing signifi cant changes. As has been repeatedly pointed out, in the next decade depression is likely to become more prevalent and carry a higher burden. In addition, it is well recognized that chronic physical diseases will contribute to psychiatric disorders, and vice versa.
Greg Lydall   +3 more
openaire   +3 more sources

Medical students’ preference for returning to the clinical setting during the COVID‐19 pandemic

open access: yesMedical Education, 2020
The coronavirus disease 2019 (COVID‐19) pandemic has led to widespread disruptions in the clinical education of medical students. In managing students’ return to the clinical setting, medical schools face the challenge of balancing education, service and
S. Compton   +3 more
semanticscholar   +1 more source

Open access, open education resources and open data in Uganda

open access: yesThe Pan African Medical Journal, 2015
As a follow up to OpenCon 2014, International Federation of Medical Students' Associations (IFMSA) students organized a 3 day workshop Open Access, Open Education Resources and Open Data in Kampala from 15-18 December 2014.
Ivana Di Salvo   +8 more
doaj   +1 more source

Competitive Ensembling Teacher-Student Framework for Semi-Supervised Left Atrium MRI Segmentation [PDF]

open access: yesarXiv, 2023
Semi-supervised learning has greatly advanced medical image segmentation since it effectively alleviates the need of acquiring abundant annotations from experts and utilizes unlabeled data which is much easier to acquire. Among existing perturbed consistency learning methods, mean-teacher model serves as a standard baseline for semi-supervised medical ...
arxiv  

Unmuting Medical Students’ Education: Utilizing Telemedicine During the COVID-19 Pandemic and Beyond

open access: yesJournal of Medical Internet Research, 2020
Due to the coronavirus disease (COVID-19) pandemic, medical schools have paused traditional clerkships, eliminating direct patient encounters from medical students’ education for the immediate future.
A. Iancu, M. Kemp, H. Alam
semanticscholar   +1 more source

A comparison of course-related stressors in undergraduate problem-based learning (PBL) versus non-PBL medical programmes [PDF]

open access: yes, 2009
Background: Medical students report high levels of stress related to their medical training as well as to other personal and financial factors. The aim of this study is to investigate whether there are differences in course-related stressors reported by ...
Alexander D Lewis   +27 more
core   +2 more sources

The importance of scientific competencies in German medical curricula - the student perspective

open access: yesBMC Medical Education, 2018
Background Scientific competencies are of great importance for physicians; not only for conducting reliable research, but also for patient care. However, there is growing concern that a lack of scientific competencies among physicians may lead to a ...
Antonius Ratte   +2 more
doaj   +1 more source

Medical Students Are Not Essential Workers: Examining Institutional Responsibility During the COVID-19 Pandemic

open access: yesAcademic medicine : journal of the Association of American Medical Colleges, 2020
In light of the evolving COVID-19 pandemic, the Association of American Medical Colleges (AAMC) and Liaison Committee on Medical Education (LCME) released a joint statement in March 2020 recommending an immediate suspension of medical student ...
A. Menon   +3 more
semanticscholar   +1 more source

Home - About - Disclaimer - Privacy