From Cadavers to Neural Networks: A Narrative Review on Artificial Intelligence Tools in Anatomy Teaching

被引:0
作者
Sirasanagandla, Srinivasa Rao [1 ]
Rajendran, Sharmila Saran [2 ]
Mogali, Sreenivasulu Reddy [3 ]
Bouchareb, Yassine [4 ]
Shaffi, Noushath [5 ]
Al-Rahbi, Adham [6 ]
机构
[1] Sultan Qaboos Univ, Coll Med & Hlth Sci, Dept Human & Clin Anat, Muscat 123, Oman
[2] Univ Oxford, Dept Physiol Anat & Genet, Oxford OX1 3PT, England
[3] Nanyang Technol Univ Singapore, Lee Kong Chian Sch Med, Singapore 308232, Singapore
[4] Sultan Qaboos Univ, Coll Med & Hlth Sci, Dept Radiol & Mol Imaging, Muscat 123, Oman
[5] Sultan Qaboos Univ, Coll Sci, Dept Comp Sci, Muscat 123, Oman
[6] Sultan Qaboos Univ, Coll Med & Hlth Sci, Muscat 123, Oman
关键词
artificial intelligence; neural networks; anatomy education; radiological anatomy; machine learning; histology; deep learning; IMAGE-ANALYSIS; EDUCATION; AI; RADIOLOGY; STUDENTS; REALITY;
D O I
10.3390/educsci15030283
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
The application of artificial intelligence (AI) in anatomy teaching is gaining attention due to its potential to support personalized learning and its ability to provide customized, real-time feedback. While the potential impact of complete AI integration in medical education remains unclear, there is a suspicion that it could revolutionize pedagogical and assessment practices. Traditional anatomy teaching strategies that use donated human resources hinder continuous learning due to accessibility and ethical challenges. Existing resources, such as anatomy atlases, may not provide knowledge of spatial relationships. AI-powered applications enable students to access more flexible and accessible learning material beyond physical classrooms. This review critically evaluates current advances and the possible impacts of AI in learning anatomy based on the reported empirical original studies. Additionally, it recognizes the challenges and provides possible solutions for them. Most of the initiatives to integrate AI in anatomy teaching are directed towards the development of customized anatomy chatbots and their integration with virtual reality (VR). Although the crucial role of medical imaging in the anatomy curriculum is recognized, currently, no AI application has been developed to target this field. This review discusses the currently available AI tools for anatomy teaching. Additionally, the knowledge gaps and future directions of AI in medical education, especially anatomy education, are also discussed. With the present advances in AI technologies, their application in anatomical education is still deficient. This review paper provides an overview of recent tools used in anatomy teaching and learning.
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页数:23
相关论文
共 90 条
[1]  
Abadi M, 2016, Arxiv, DOI arXiv:1605.08695
[2]   Teaching, Learning and Assessing Anatomy with Artificial Intelligence: The Road to a Better Future [J].
Abdellatif, Hussein ;
Al Mushaiqri, Mohamed ;
Albalushi, Halima ;
Al-Zaabi, Adhari Abdullah ;
Roychoudhury, Sadhana ;
Das, Srijit .
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2022, 19 (21)
[3]   The "Ice Age" of Anatomy and Obstetrics: Hand and Eye in the Promotion of Frozen Sections around 1900 [J].
Al-Gailani, Salim .
BULLETIN OF THE HISTORY OF MEDICINE, 2016, 90 (04) :611-642
[4]  
Al-Rahbi Adham, 2024, Med Int (Lond), V4, P40, DOI 10.3892/mi.2024.164
[5]   Three-dimensional Virtual Reality as an Innovative Teaching and Learning Tool for Human Anatomy Courses in Medical Education: A Mixed Methods Study [J].
Alharbi, Yasser ;
Al-Mansour, Mubarak ;
Al-Saffar, Radi ;
Garman, Abdullah ;
Al-Radadi, Abdulrahman .
CUREUS JOURNAL OF MEDICAL SCIENCE, 2020, 12 (02)
[6]   A novel radiological software prototype for automatically detecting the inner ear and classifying normal from malformed anatomy [J].
Almansi, Abdulrahman Alkojak ;
Sugarova, Sima ;
Alsanosi, Abdulrahman ;
Almuhawas, Fida ;
Hofmeyr, Louis ;
Wagner, Franca ;
Kedves, Emerencia ;
Sriperumbudur, Kiran ;
Dhanasingh, Anandhan ;
Kedves, Andras .
COMPUTERS IN BIOLOGY AND MEDICINE, 2024, 171
[7]  
[Anonymous], 2022, Industrial-strength Natural Language Processing in Python
[8]  
[Anonymous], 2024, Human anatomy atlas by visible body
[9]  
[Anonymous], 2017, MICROSOFT HOLOLENS
[10]  
[Anonymous], Science. n.d