Application and evaluation of virtual technologies for anatomy education to medical students: A review

Student Engagement Using HoloLens Mixed-Reality Technology in Human Anatomy Laboratories for Osteopathic Medical Students: an Instructional Model

Mixed-reality technology is a powerful tool used in healthcare and medical education to engage students in life-like scenarios. This blend of virtual and augmented reality images incorporates virtual projections with the real environment to allow real-time observation and interaction [1]. While this immersive technology offers advantages over cadaver dissections, it creates new challenges to keeping students engaged [2, 3]. Student engagement improves students' commitment to learning, critical thinking, and motivation and results in successful course outcomes [4, 5]. This paper provides an activity model using the HoloLens mixed-reality technology to deliver human gross anatomy laboratory sessions to first-year osteopathic medical students. The activity was designed using Gagne's model for instructional design and team-based learning to create an active learning model, which targets the behavioral, emotional, and cognitive dimensions of student engagement [6, 7]: behavioral engagement through autonomy and time on task, emotional engagement through providing the guiding exploration and narrative flow to accompany students' visual experience, and cognitive engagement by incorporating team-based learning (TBL) and case-based learning (CBL). The instructional model also answers the call for a new type of virtual reality instructor and pedagogical strategy that addresses the unique challenges and increases student engagement with this new technology. The effectiveness of this classroom activity was assessed by observing students for indicators or behaviors of student engagement, which are discussed. Further studies are required to measure the extent to which these indicators were exhibited and compare student engagement with this mixed-reality to didactic cadaver-based laboratory sessions.

Teaching, Learning and Assessing Anatomy with Artificial Intelligence: The Road to a Better Future

Anatomy is taught in the early years of an undergraduate medical curriculum. The subject is volatile and of voluminous content, given the complex nature of the human body. Students frequently face learning constraints in these fledgling years of medical education, often resulting in a spiraling dwindling academic performance. Hence, there have been continued efforts directed at developing new curricula and incorporating new methods of teaching, learning and assessment that are aimed at logical learning and long-term retention of anatomical knowledge, which is a mainstay of all medical practice. In recent years, artificial intelligence (AI) has gained in popularity. AI uses machine learning models to store, compute, analyze and even augment huge amounts of data to be retrieved when needed, while simultaneously the machine itself can be programmed for deep learning, improving its own efficiency through complex neural networks. There are numerous specific benefits to incorporating AI in education, which include in-depth learning, storage of large electronic data, teaching from remote locations, engagement of fewer personnel in teaching, quick feedback from responders, innovative assessment methods and user-friendly alternatives. AI has long been a part of medical diagnostics and treatment planning. Extensive literature is available on uses of AI in clinical settings, e.g., in Radiology, but to the best of our knowledge there is a paucity of published data on AI used for teaching, learning and assessment in anatomy. In the present review, we highlight recent novel and advanced AI techniques such as Artificial Neural Networks (ANN), or more complex Convoluted Neural Networks (CNN) and Bayesian U-Net, which are used for teaching anatomy. We also address the main advantages and limitations of the use of AI in medical education and lessons learnt from AI application during the COVID-19 pandemic. In the future, studies with AI in anatomy education could be advantageous for both students to develop professional expertise and for instructors to develop improved teaching methods for this vast and complex subject, especially with the increasing paucity of cadavers in many medical schools. We also suggest some novel examples of how AI could be incorporated to deliver augmented reality experiences, especially with reference to complex regions in the human body, such as neural pathways in the brain, complex developmental processes in the embryo or in complicated miniature regions such as the middle and inner ear. AI can change the face of assessment techniques and broaden their dimensions to suit individual learners.

Are extended reality technologies (ERTs) more effective than traditional anatomy education methods?

PURPOSE

Reviews and meta-analyses concerning the effectiveness of extended reality technologies (ERTs) (namely virtual, augmented, and mixed reality-VR, AR, and MR) in anatomy education (AE) have resulted in conflicting outcomes. The current review explores the existing evidence provided by reviews of AE literature regarding the effectiveness of ERTs after their comparison with traditional (either cadaveric or two-dimensional) anatomy teaching modalities and sheds light on the factors associated with the conflicting outcomes.

METHODS

PubMed, SCOPUS, ERIC, and Cochrane databases were searched for review articles with the purpose to investigate the effectiveness of ERTs in AE.

RESULTS

Nine (four systematic with or without meta-analysis and five non-systematic) reviews were included. A lack of robust evidence provided by those reviews was noted, mainly due to a remarkable confusion in the definition of each ERT, along with confusion when authors referred to traditional AE (TAE) methods.

CONCLUSIONS

To clarify to what extent VR, AR, or MR can replace or supplement TAE methods, there is a primary need for addressing issues regarding the definition of each technology and determining which specific TAE methods are used as comparators.

Assessing medical students' perception and educational experience during COVID-19 pandemic

INTRODUCTION

The COVID-19 pandemic has significantly impacted the traditional delivery of medical education. Medical education programmes have had to cope with limitations on face-to-face learning, and accelerate the adoption of digital learning. In addition, the pandemic has potential serious implications on the psychological well-being of medical students. We aim to assess the changes in perceptions and experiences of medical students as a consequence of this pandemic.

METHODS

Cross-sectional survey of medical students at Trinity College Dublin (TCD) between March and April 2022 was performed. The survey explored student satisfaction with the current education program, teaching delivery and the impact of COVID-19 on education and student well-being.

RESULTS

175 medical students participated in the survey. Overall, the majority of students were happy/neutral with their medical education. 93 (53.1%) felt tutorials and problem-based learning (PBL) to be the most effective method of teaching, followed by laboratory and clinical placements in 78 participants (44.6%) and hybrid-learning in 85 participants (48.6%). There was a mixed reaction to the changes in the delivery of education brought about by the pandemic. 67 participants (40.6%) felt happy with the changes, another 64 participants (38.8%) felt neutral, whilst only 34 participants (20.6%) were unhappy. However, most participants felt the pandemic negatively impacted their mental health, with 96 participants (55.8%) reporting negative responses. 58% of participants (n = 102/175) reported utilising the student support services at university campus and 49% (n = 50) were satisfied with their services.

CONCLUSION

Digital content and delivery confer the benefit of greater flexibility in learning, the ability to learn at one's own pace and in a preferred environment, however lacks the advantage of bedside teaching and hands-on training. Our findings reinforce the potential advantages of online learning.