Results 101 to 110 of about 250,061 (218)

Cooperative learning in anatomy: Comparing virtual avatars and human specimens

open access: yesAnatomical Sciences Education, EarlyView.
Abstract Contemporary research demonstrated that undergraduate medical students rated an augmented reality learning tool entitled “human muscular arm avatar” as useful for their self‐directed individual learning. Beyond this subjective assessment, it was largely unknown whether avatar‐based study would also improve knowledge test scores at an objective
Christa Maurer   +6 more
wiley   +1 more source

Essential embryology for the Canadian pathologists’ assistant

open access: yesAnatomical Sciences Education, EarlyView.
Abstract Pathologists' assistants (PAs) are pivotal in healthcare, conducting autopsies and examining tissues under a pathologist's guidance. Embryology knowledge is crucial for PAs to accurately assess anomalies and identify pathologies. Yet, it is often overlooked in academic PA training programs.
Samantha H. Nacci   +4 more
wiley   +1 more source

Reigniting engagement: A multidisciplinary, authentic case‐based approach to anatomy and physiology education for medical imaging students

open access: yesAnatomical Sciences Education, EarlyView.
Abstract Anatomy and physiology are foundational to health science education, yet student engagement in these modules often declines during later years of study. This discursive article aims to describe a teaching intervention which increased student engagement and provide educator reflection of implementation and improvement over time.
Nicolene Jooste, Asma Shaikh‐Kader
wiley   +1 more source

Analysis of anxiety levels and perceived satisfaction after a first encounter with human body prosection among nursing undergraduates based on their self‐perceived presession nervousness: An observational study

open access: yesAnatomical Sciences Education, EarlyView.
Abstract Human body prosection practices are a crucial educational tool for learning anatomy. However, the first exposure to donors' material can cause anxiety, which may affect students' learning experiences and emotional adjustment. This observational study aimed to analyze anxiety levels (state and trait) before and after a prosection session in ...
Mónica Grande‐Alonso   +8 more
wiley   +1 more source

Impacts of body donor non‐anonymization on students' educational and humanistic development: A systematic review

open access: yesAnatomical Sciences Education, EarlyView.
Abstract A recent trend in healthcare education has been the increasing emphasis on the development of humanism and empathy in students. Within anatomy education, some institutions have implemented curricular innovations such as donor non‐anonymization to facilitate this development.
Rodrigo Muscogliati   +5 more
wiley   +1 more source

Online anatomical images are an effective resource to improve knowledge acquisition and practical exam performance in gross anatomy

open access: yesAnatomical Sciences Education, EarlyView.
The use of cadaveric images in visceral anatomy is associated with improved knowledge acquisition, higher motivation and satisfaction. Besides, the use of anatomical images significantly improved students' practical exam performance in the dissection room.
Amparo Gimeno   +4 more
wiley   +1 more source

Is artificial intelligence getting better at anatomy? A two‐year review of ChatGPT's free public versions

open access: yesAnatomical Sciences Education, EarlyView.
Abstract Artificial intelligence and large language models have significantly influenced medical education by enhancing learning experiences. While previous studies have assessed ChatGPT's performance on anatomy‐related questions, a notable gap remains in understanding its accuracy over time. This longitudinal study evaluated the progression of ChatGPT'
Bahattin Paslı, Ceren Günenç Beşer
wiley   +1 more source

Performance of multimodal large language models on image‐based surgical anatomy, anatomical pathology, and radiology questions

open access: yesAnatomical Sciences Education, EarlyView.
Abstract Multimodal large language models (LLMs) are now deeply integrated into medical education and widely used by medical students, yet it remains unclear whether current models possess the accuracy and reliability needed to support image‐based learning.
Ming Lu, Josiah Cheng, Vinod Gopalan
wiley   +1 more source

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