Do Digital Technologies Enhance Anatomical Education?
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Abstract

Anatomy has been taught by traditional methods for centuries. However, there has been an explosion of a variety of digital training resources for anatomical education.  There is also a requirement from regulatory bodies to embrace digital technologies in teaching, yet no formal analysis has been undertaken as to the effectiveness of these products and tools.

A comprehensive electronic database search was performed to identify the use, and effectiveness or otherwise, of digital technologies in anatomy, medicine, surgery, dentistry and the allied health professions. The data was pooled, analysed and we identified 164 articles.

     We identified two groups – those that did, and those that did not, have empirical data for analysis of the effectiveness of digital technologies in anatomical education. We identified three categories within this –pro, neutral and against the use of digital technologies. For the pro category, there were 35 (21.3%) empirically tested articles, and 91 (55.5%) non-empirically tested articles identified. In the neutral category, there were 19 (11.6%) empirically tested articles, and 16 (9.8%) non-empirically tested articles. Only 3 articles were against the use of digital technologies, and were in the empirically tested category.

     The majority of literature related to digital technologies in anatomical education is supportive of its use. However, most of the literature is not supported with empirical data related to the use of digital technologies in anatomy specific education within the health and related disciplines. Further studies need to be conducted as to the effectiveness of technology in medical/healthcare related education.

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References

D4Medical. Retrieved March 8, 2017, from http://www.3d4medical.com

Adams CM, Wilson TD. (2011). Virtual cerebral ventricular system: an MR-based three-dimensional computer model. Anatomical Science Education. 4(6), 340-347.

Anastasi G, Bramanti P, Bella PD, Favaloro A, Trimarchi F, Magaudda L, Gaeta M, Scribano E, Bruschetta D, Milardi D. (2007). Volume rendering based on magnetic resonance imaging: advances in understanding the three-dimensional anatomy of the human knee. Journal of Anatomy. 211(3), 399-406.

Attardi SM, Rogers KA. (2014). Design and implementation of an online systemic human anatomy cours with laboratory. Anatomical Sciences Education. 8(1), 53-62.

Balogh AA, Preul MC, Laszlo K, Schornak M, Hickman M, Deshmukh P, Spetzler RF. (2006). Multilayer Image Grid Reconstruction Technology: Four-Dimensional Interactive Image Reconstruction of Microsurgical Neuroanatomic Dissections. Neurosurgery. 58(1), 157-165.

Birr S, Monch J, Sommerfeld D, Preim U, Preim B. (2013). The Liver Anatomy Explorer: A WebGL-Based Surgical Teaching Tool. IEEE Computer Graphics and Applications. 33(5), 48-58.

BodyViz. Retrieved March 8, 2017, from: http://www.bodyviz.com

Brown PM, Hamilton NM, Denison AR. (2012). A novel 3D stereoscopic anatomy tutorial. The Clinical Teacher. 9, 50-53.

Cantin M, Munoz M, Olate S. (2015). Generation of 3D Tooth Models Based on Three dimensional Scanning to Study the Morphology of Permanent Teeth. International Journal of Morphology. 33(2), 782-787.

Choi-Lundberg DL, Low TF, Patman P, Turner P, Sinha SN. (2016) Medical student preferences for self- directed study resources in gross anatomy. Anatomical Sciences Education. 9(2), 150-160.

Cohen AR, Lohani S, Manjila S, Natsupakpong S, Brown N, Cavusoglu M. C. (2013). Virtual reality simulation: basic concepts and use in endoscopic neurosurgery training. Child’s Nervous System. 29(8), 1235-1244.

Cyber Anatomy HolographicTM Retrieved April 8, 2015, from: http://cyber-anatomy.com/Holographic.php

Falah J, Khan S, Alfalah T, Alfalah SFM, Chan W, Harrison DK. (2014). Virtual Reality Medical Training System for Anatomy Education. Science and Information Conference; [online] Available at: http://ieeexplore.ieee.org/document/6918271/ [Accessed: March 8th, 2017]

Foreman KB, Morton DA, Musolino GM, Albertine KH. (2005). Design and utility of a web-based computer-assisted instructional tool for neuroanatomy self-study and review for physical and occupational therapy graduate students. The Anatomical Record. 285B(1), 26-31.

Granger NA. (2004). Dissection laboratory is vital to medical gross anatomy education. The Anatomical Record. 281B(1), 6-8.

Gould DJ, Terell MA, Fleming J. (2008). A Usability Study of Users’ Perceptions Toward A Multimedia Computer-Assisted Learning Tool for Neuroanatomy. Anatomical Sciences Education. 1(4), 175- 183.

Hochman JB, Unger B, Kraut J, Pisa J, Hombach-Klonisch S. (2014). Gesture controlled interactive three dimensional anatomy: a novel teaching tool in head and neck surgery. Journal of Otolaryngology – Head & Neck Surgery; [online] 43 Available at: https://journalotohns.biomedcentral.com/articles/10.1186/s40463-014-0038-2 [Accessed: March 8th, 2017].

Huang H-M, Chen Y-L, Chen K-Y. (2010). Investigation of Three-Dimensional Human Anatomy Applied in Mobile Learning. Computer Symposium. [online] Available at: http://ieeexplore.ieee.org/document/5685486/ [Accessed: March 8th, 2017]

Jastrow H, Hollinderbäumer A. (2004). On the use and value of new media and how medical students assess their effectiveness in learning anatomy. The Anatomical Record. 280B(1), 20-29.

Khot Z, Quinlan K, Norman GR, Wainman B. (2013). The relative effectiveness of computer-based and traditional resources for education in anatomy. Anatomical Sciences Education. 6(4), 211-215.

Lewis TL, Burnett B, Tunstall RG, Abrahams PH. (2013). Complementing anatomy education using three dimensional anatomy mobile software applications on tablet computers. Clinical Anatomy. 27(3), 313-320.

Ma M, Bale K Rea P. Constructionist Learning in Anatomy Education: What Anatomy Students Can Learn through Serious Games Development. In M. Ma et al. (Eds.): Serious Games Development and Applications, Lecture Notes in Computer Science, LNCS 2012; 7528, 43-58, Springer-Verlag Berlin Heidelberg, ISBN 9783642336874

Machado JA, Barbosa JM, Ferreira MA. (2013). Student perspectives of imaging anatomy in undergraduate medical education. Anatomical Sciences Education. 6(3), 163-169.

Madurska MJ, Poyade M, Eason D, Rea P, Watson AJM. (2017). Development of patient specific 3D printed liver model for preoperative planning. Surgical Innovation. 2017; (doi:10.1177/1553350616689414) (PMID:28134003).

Manson A, Poyade M, Rea P. (2015). A recommended workflow methodology in the creation of an educational and training application incorporating a digital reconstruction of the cerebral ventricular system and cerebrospinal fluid circulation to aid anatomical understanding. BMC Medical Imaging. 15:44. doi: 10.1186/s12880-015-0088-6.

Marker RD, Juluru K, Long C, Magid D. (2012). Strategic Improvements for Gross Anatomy Web-based Teaching. Anatomy Research International. [online] Available at: https://www.hindawi.com/journals/ari/2012/146262/ [Accessed: March 8th, 2017].

Marsh KR, Giffin BF. Lowrie DJ Jr. (2008). Medical student retention of embryonic development: impact of the dimensions added by multimedia tutorials. Anatomical Sciences Education. 1(6), 252-257.

Mayfield CH, Ohara PT, O’Sullivan PS. (2012). Perceptions of a mobile technology on learning strategies in the anatomy laboratory. Anatomical Sciences Education. 6(2), 81.89.

McCulloch V, Hope S, Loranger B, Rea PM. (2016). Children And Mobile Applications: How to Effectively Design and Create a Concept Mobile Application to Aid in the Management of Type 1Diabetes In Adolescents. In: INTED2016: 10th annual International Technology, Education and Development Conference, Valencia, Spain, 7th-9th March 2016, pp. 6045-6053. ISBN 9788460856177.

McMenamin PG, Quayle MR, McHenry CR, Adams JW. (2014). The Production of Anatomical Teaching Resources Using Three-Dimensional (3D) Printing Technology. Anatomical Sciences Education. 7:476-486.

Nicholson DT, Chalk C, Funnell WRJ, Daniel SJ. (2006). Can virtual reality improve anatomy education? A randomised controlled study of a computer-generated three- dimensional anatomical ear model. Medical Education. 40(11), 1081-1087.

Palomera PR, Babiano PM, Mendez JAJ, Prats-Galino A. (2012). Applied medical informatics for neuroanatomy training. Computers in Education. [online] Available at: http://ieeexplore.ieee.org/document/6403169/ [Accessed: March 8th, 2017]

Park JS, Chung MS, Hwang SB, Shin BS. (2006). The visible Korean human: its techniques and applications. Clinical Anatomy. 19, 216 – 224.

Patel KM, Moxham BJ. (2008). The relationships between learning outcomes and methods of teaching anatomy as perceived by professional anatomists. Clinical Anatomy. 21, 182-189.

Primal Pictures. Retrieved March 8, 2017, from: https://www.primalpictures.com

Raffan H, Guevar J, Poyade M, Rea PM. (2017). Canine neuroanatomy: Development of a 3D reconstruction and interactive application for undergraduate veterinary education. PLoS ONE. 2017; 12(2): e0168911. doi:10.1371/journal.pone.0168911.

Rana MA, Setan H, Majid Z, Chong AK. (2006). Soft tissue reconstruction for craniofacial surgery planning. International Symposium and Exhibition on Geoinformation. p.19-21.

Raynor M, Iggulden H. (2008). Online anatomy and physiology: piloting the use of ananatomy and physiology e-book–VLE hybrid in pre-registration and post-qualifying nursing programmes at the University of Salford. Health Information and Libraries Journal. 25(2), 96-108.

Rea P. (2016). Advances in Anatomical and Medical Visualisation. Handbook of Research on Engaging Digital Natives in Higher Education Settings. Editors M. Pinheiro and D. Pereira. IGI Global. DOI: 10.4018/978-1-5225-0039-1.ch011. Chapter 11, 244-264.

Roach VA, Brandt MG, Moore CC, Wilson TD. (2012). Is three-dimensional videography the cutting edge of surgical skill acquisition? Anatomical Sciences Education. 5(3),138-145.

Ruiz JG, Cook DA, Levinson AJ. (2009). Computer animations in medical education: a critical literature review. Medical Education. 43, 838-846.

Salajan FD, Perschbacher S, Cash M, Talwar R, El-Badrawy W, Mount G. J. (2009). Learning with web-based interactive objects: An investigation into student perceptions of effectiveness. Computers and Education. 53(3), 632-643.

Shomaker TS, Ricks DJ, Hale DC. (2002). A prospective, randomized controlled study of computer-assisted learning in parasitology. Academic Medicine. 77(5), 446-450.

Spitzer VM, Whitlock DG. (1998). Atlas of the Visible Human Male: Reverse Engineering of the Human Body. Sadbury, Jones & Barlett

Sugand K, Abrahams P, Khurana A. (2010). The Anatomy of Anatomy: A Review for its Modernization. Anatomical Sciences Education. 3:83-93.

Turney BW. (2007). Anatomy in a Modern Medical Curriculum. Annals of The Royal College of Surgeons of England. 89(2), 104-107.

Varol A, Basa S. (2009). The role of computer-aided 3D surgery and stereolithographic modelling for vector orientation in premaxillary and trans sinusoidal maxillary distraction osteogenesis. The International Journal of Medical Robotics and Computer Assisted Surgery. 5(2),198-206.

Vuchkova J, Maybury TS, Farah CS. (2011). Testing the Educational Potential of 3D Visualization Software in Oral Radiographic Interpretation. Journal of Dental Education. 75(11), 1417-1425. Visible Body. Retrieved March 8, 2017, from: http://www.visiblebody.com/index.html

Wallace S, Clark M, White J. (2012 ). “It’s on my iPhoneâ€:attitudes to the use of mobile computing devices in medical education, a mix-methods study. BMJ Open [online]. 2012; 2(4) Available at: http://bmjopen.bmj.com/content/2/4/e001099.long [Accessed: March 8th, 2017].

Watson RA. (2014). A Low-Cost Surgical Application of Additive Fabrication. Journal of Surgical Education. 71(1), 14-17.

Wilkinson K., Barter P. (2016 ). ‘Do Mobile Learning Devices Enhance Learning In Higher Education Anatomy Classrooms?’ Journal of Pedagogic Development. 6(1), 14-23

Zhang SX, Heng PA, Liu ZJ, Tan LW, Qui MG, Li QY, Liao RX, Li K, Cui GY, Guo YL, Yang XP, Liu GJ, Shan JL, Liu JJ, Zhang WG, Chen XH, Chen JH, Wang J, Chen W, Lu M, You J, Pang XL, Xiao H, Xie, YM, Cheng JCY. (2004). The Chinese Visible Human (CVH) datasets incorporate technical and imaging advances on earlier digital humans. Journal of Anatomy. 204;165 – 173.

Zhu H, Wang W, Sun J, Meng Q, Yu J, Qin J, Heng PA. An Interactive Web-Based Navigation System for Learning Human Anatomy. Advanced Technologies, Embedded and Multimedia for Human-centric Computing 260 of the series: Lecture Notes in Electrical Engineering 2014; p.73-81.

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