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Using Machine Learning in Veterinary Medical Education: An Introduction for Veterinary Medicine Educators [PDF]

Veterinary Sciences, 2023
Machine learning (ML) offers potential opportunities to enhance the learning, teaching, and assessments within veterinary medical education including but not limited to assisting with admissions processes as well as student progress evaluations.
Sarah E. Hooper, Kent G. Hecker, Elpida Artemiou   +2 more
doaj   +6 more sources

Key Assumptions Underlying a Competency-Based Approach to Medical Sciences Education, and Their Applicability to Veterinary Medical Education [PDF]

Frontiers in Veterinary Science, 2021
This perspective explores six key assumptions of a competency-based approach to medical-sciences education, as they relate to veterinary medical education.
Jared A. Danielson
doaj   +4 more sources

Prevalence of mistreatment in veterinary medical education; a survey of 3rd year veterinary students at a single university [PDF]

BMC Medical Education
Background Improving quality of life in veterinary medicine has emerged as an important topic. One factor which may influence quality of life in medical education is mistreatment (verbal abuse, power abuse, and physical abuse to establish and maintain a ...
Katherine H. Barnes, Stephanie Johnson, Chin-Chi Liu, Karanvir S. Aulakh   +3 more
doaj   +3 more sources

Integrative veterinary medical education and consensus guidelines for an integrative veterinary medicine curriculum within veterinary colleges [PDF]

Open Veterinary Journal, 2016
Integrative veterinary medicine (IVM) describes the combination of complementary and alternative therapies with conventional care and is guided by the best available evidence.
M.A. Memon, J. Shmalberg, H.S. Adair III, S. Allweiler, J.N. Bryan, S. Cantwell, E. Carr, C. Chrisman, C.M. Egger, S. Greene, K.K. Haussler, B. Hershey, G.R. Holyoak, M. Johnson, S. Le Jeune, A. Looney, R.S. McConnico, C. Medina, A.J. Morton, A. Munsterman, G.J. Nie, N. Park, M. Parsons-Doherty, J.A. Perdrizet, J.L. Peyton, D. Raditic, H.P. Ramirez, J. Saik, S. Robertson, M. Sleeper, J. Van Dyke, J. Wakshlag   +31 more
doaj   +2 more sources

Establishing veterinary graduation competencies and its impact on veterinary medical education in Korea. [PDF]

J Vet Sci, 2023
Competencies are defined as an observable and assessable set of knowledge, skills, and attitudes. Graduation competencies, which are more comprehensive, refer to the required abilities of students to perform on-site work immediately after graduation.
Nahm SS, Lee K, Chun MS, Kang J, Kim S, Jeong SM, Chung JY, Ryu PD.   +7 more
europepmc   +3 more sources

The Past, Present, and Future: A Discussion of Cadaver Use in Medical and Veterinary Education

Frontiers in Veterinary Science, 2021
Cadaver usage in medical training, although controversial, has persisted over centuries. In veterinary education various methods have been proposed to either improve cadaver preservation, reduce cadaver use, or to replace cadavers entirely, but to date ...
Caitlin Varner, Lucinda Dixon, Micha C. Simons   +2 more
doaj   +3 more sources

Status Quo of Progress Testing in Veterinary Medical Education and Lessons Learned [PDF]

Frontiers in Veterinary Science, 2020
Progress testing is an assessment tool for longitudinal measurement of increase in knowledge of a specific group, e.g., students, which is well-known in medical education.
Lisa Herrmann, Christina Beitz-Radzio, Dora Bernigau, Stephan Birk, Jan P. Ehlers, Birte Pfeiffer-Morhenn, Ingrid Preusche, Andrea Tipold, Elisabeth Schaper   +8 more
doaj   +2 more sources

Medicine, Value, and Knowledge in the Veterinary Clinic: Questions for and From Medical Anthropology and the Medical Humanities

Frontiers in Veterinary Science, 2022
The welcome development of the veterinary humanities, and veterinary anthropology specifically, raises the question of its potential relationship with the now well-established field(s) of the medical humanities, and of medical anthropology.
Jane Desmond
doaj   +3 more sources

Global cross-sectional student survey on AI in medical, dental, and veterinary education and practice at 192 faculties

BMC Medical Education
Background The successful integration of artificial intelligence (AI) in healthcare depends on the global perspectives of all stakeholders. This study aims to answer the research question: What are the attitudes of medical, dental, and veterinary ...
Felix Busch, Lena Hoffmann, Daniel Truhn, Esteban Ortiz-Prado, Marcus R. Makowski, Keno K. Bressem, Lisa C. Adams, COMFORT Consortium   +7 more
doaj   +2 more sources

The intersection of Interprofessional Education and One Health: A qualitative study in human and veterinary medical institutions

One Health
Interprofessional Education (IPE) and One Health are two common and overlapping frameworks for teaching collaborative practice. IPE is common at human medical institutions, while One Health is more common in graduate and veterinary programs.
Claire Tucker, Jake Keyel, Amy Blue, Ruthanne Chun, Amara Estrada, Hossein Khalili, Anuja Riles, Rohini Roopnarine, Brian Sick, Sue VandeWoude, Brittany Watson, Lauren Wisnieski, Tracy Webb   +12 more
doaj   +3 more sources