Zobrazeno 1 - 10
of 943
pro vyhledávání: '"Virtual patients"'
Autor:
Joanna Fąferek, Pierre-Louis Cariou, Inga Hege, Anja Mayer, Luc Morin, Daloha Rodriguez-Molina, Bernardo Sousa-Pinto, Andrzej A. Kononowicz
Publikováno v:
BMC Medical Education, Vol 24, Iss 1, Pp 1-19 (2024)
Abstract Background Virtual patients (VPs) are widely used in health professions education. When they are well integrated into curricula, they are considered to be more effective than loosely coupled add-ons. However, it is unclear what constitutes t
Externí odkaz:
https://doaj.org/article/b7405593f3c44255baea13eb51db0901
Publikováno v:
Frontiers in Pharmacology, Vol 15 (2024)
Background: Increasing student numbers and logistical challenges in pharmacy education limit patient counselling and clinical placement opportunities. Computer-based simulation (CBS) offers scalable, interactive learning but faces integration barrier
Externí odkaz:
https://doaj.org/article/7ce3869b81f34f3bbd80dbec056eb2e3
Publikováno v:
GMS Journal for Medical Education, Vol 41, Iss 4, p Doc39 (2024)
Introduction: Clinical reasoning ability is one of the core competencies of physicians. It should already be trained during undergraduate medical education. At University Medical Center Göttingen (UMG), medical students can participate in formative
Externí odkaz:
https://doaj.org/article/13945dcc6f214de09c59a8737790a85b
Autor:
Nathalie Paul, Venetia Karamitsou, Clemens Giegerich, Afshin Sadeghi, Moritz Lücke, Britta Wagenhuber, Alexander Kister, Markus Rehberg
Publikováno v:
Frontiers in Systems Biology, Vol 4 (2024)
In the context of in silico clinical trials, mechanistic computer models for pathophysiology and pharmacology (here Quantitative Systems Pharmacology models, QSP) can greatly support the decision making for drug candidates and elucidate the (potentia
Externí odkaz:
https://doaj.org/article/60fdcd65671c491d81e430f1da7b0bf0
Publikováno v:
BMC Medical Education, Vol 24, Iss 1, Pp 1-9 (2024)
Abstract Background History taking and clinical reasoning are important skills that require knowledge, cognition and meta-cognition. It is important that a trainee must experience multiple encounters with different patients to practice these skills.
Externí odkaz:
https://doaj.org/article/4cb28158cae444be935fad66678a571b
Autor:
Alfonso Piciocchi, Marta Cipriani, Monica Messina, Giovanni Marconi, Valentina Arena, Stefano Soddu, Enrico Crea, Maria Valeria Feraco, Marco Ferrante, Edoardo La Sala, Paola Fazi, Francesco Buccisano, Maria Teresa Voso, Giovanni Martinelli, Adriano Venditti, Marco Vignetti
Publikováno v:
eJHaem, Vol 5, Iss 2, Pp 353-359 (2024)
Abstract Artificial Intelligence has the potential to reshape the landscape of clinical trials through innovative applications, with a notable advancement being the emergence of synthetic patient generation. This process involves simulating cohorts o
Externí odkaz:
https://doaj.org/article/b6a23ad93d9f4796ae32e22700a0854d
Publikováno v:
BMC Medical Education, Vol 24, Iss 1, Pp 1-15 (2024)
Abstract Background Using virtual patients integrated in simulators expands students’ training opportunities in healthcare. However, little is known about the usability perceived by students and the factors/determinants that predict the acceptance
Externí odkaz:
https://doaj.org/article/75d3f340e3b340f6a7bfb0728997f2a6
Publikováno v:
Frontiers in Virtual Reality, Vol 5 (2024)
Virtual Reality (VR) technology allows the design and application of realistic but adaptive learning environments in medical education. In particular, virtual patient systems have logistical and methodological advantages compared to non-computerized
Externí odkaz:
https://doaj.org/article/861dbdc4787c4c0c9f0f69dce6145ed6
Autor:
Konstantin Sharafutdinov, Sebastian Johannes Fritsch, Mina Iravani, Pejman Farhadi Ghalati, Sina Saffaran, Declan G. Bates, Jonathan G. Hardman, Richard Polzin, Hannah Mayer, Gernot Marx, Johannes Bickenbach, Andreas Schuppert
Publikováno v:
IEEE Open Journal of Engineering in Medicine and Biology, Vol 5, Pp 611-620 (2024)
Goal: Machine learning (ML) technologies that leverage large-scale patient data are promising tools predicting disease evolution in individual patients. However, the limited generalizability of ML models developed on single-center datasets, and their
Externí odkaz:
https://doaj.org/article/44befcf235114feabf6f4ed4938e85a4
Publikováno v:
BMC Medical Education, Vol 23, Iss 1, Pp 1-12 (2023)
Abstract Background At the Faculty of Medicine of the National University of Malaysia, a virtual patient software program, DxR Clinician, was utilised for the teaching of neurocognitive disorder topics during the psychiatry posting of undergraduate m
Externí odkaz:
https://doaj.org/article/efc22ebe236e452fadded7e226533a75