Literature DB >> 12379939

Anatomical informatics: Millennial perspectives on a newer frontier.

Robert B Trelease1.   

Abstract

One of the most ancient of sciences, anatomy has evolved over many centuries. Its methods have progressively encompassed dissection instruments, manual illustration, stains, microscopes, cameras and photography, and digital imaging systems. Like many other more modern scientific disciplines in the late 20th century, anatomy has also benefited from the revolutionary development of digital computers and their automated information management and analytical capabilities. By using newer methods of computer and information sciences, anatomists have made outstanding contributions to science, medicine, and education. In that regard, there is a strong rationale for recognizing anatomical informatics as a proper subdiscipline of anatomy. A high-level survey of the field reveals important anatomical applications of computer sciences methods in imaging, image processing and visualization, virtual reality, modeling and simulation, structural database processing, networking, and artificial intelligence. Within this framework, computational anatomy is a developing field focusing on data-driven mathematical models of bodily structures. Mastering such computer sciences and informatics methods is crucial for new anatomists, who will shape the future in research, clinical knowledge, and teaching. Copyright 2002 Wiley-Liss, Inc.

Mesh:

Year:  2002        PMID: 12379939     DOI: 10.1002/ar.10177

Source DB:  PubMed          Journal:  Anat Rec        ISSN: 0003-276X


  8 in total

1.  A general XML schema and SPM toolbox for storage of neuro-imaging results and anatomical labels.

Authors:  David Bryant Keator; Syam Gadde; Jeffrey S Grethe; Derek V Taylor; Steven G Potkin
Journal:  Neuroinformatics       Date:  2006

2.  Effectiveness of Video Demonstration over Conventional Methods in Teaching Osteology in Anatomy.

Authors:  Angela A Viswasom; Abraham Jobby
Journal:  J Clin Diagn Res       Date:  2017-02-01

3.  Computer aided three-dimensional reconstruction and modeling of the pelvis, by using plastinated cross sections, as a powerful tool for morphological investigations.

Authors:  Mircea-Constantin Sora; Radu Jilavu; Petru Matusz
Journal:  Surg Radiol Anat       Date:  2011-08-23       Impact factor: 1.246

4.  Item difficulty in the evaluation of computer-based instruction: an example from neuroanatomy.

Authors:  Julia H Chariker; Farah Naaz; John R Pani
Journal:  Anat Sci Educ       Date:  2012-01-09       Impact factor: 5.958

5.  Does an Additional Online Anatomy Course Improve Performance of Medical Students on Gross Anatomy Examinations?

Authors:  Ana Yoe-Cheng Chang Chan; Eugene J F M Custers; Maarten Simon van Leeuwen; Ronald L A W Bleys; Olle Ten Cate
Journal:  Med Sci Educ       Date:  2019-05-30

6.  Computer Assisted Learning: Assessment of the Veterinary Virtual Anatomy Education Software IVALA™.

Authors:  William Brady Little; Elpida Artemiou; Anne Conan; Cathryn Sparks
Journal:  Vet Sci       Date:  2018-06-19

7.  The additional role of virtual to traditional dissection in teaching anatomy: a randomised controlled trial.

Authors:  Rafael Boscolo-Berto; Cinzia Tortorella; Andrea Porzionato; Carla Stecco; Edgardo Enrico Edoardo Picardi; Veronica Macchi; Raffaele De Caro
Journal:  Surg Radiol Anat       Date:  2020-09-17       Impact factor: 1.246

8.  Perceptions, satisfactions, and performance of undergraduate students during Covid-19 emergency remote teaching.

Authors:  Jessica Wilhelm; Spencer Mattingly; Victor H Gonzalez
Journal:  Anat Sci Educ       Date:  2022-01       Impact factor: 6.652

  8 in total

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