Artificial intelligence in Anatomy: Potential uses and challenges
AI is the name of advanced technology that enables machines to simulate human intelligence and behaviour which has already been used and will continue in future as well to transform whole generations. It is widely opted not only at the industrial level but also in large numbers used for educati...
Saved in:
| Main Author: | |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Liaquat National Hospital and Medical College
2025-04-01
|
| Series: | Journal of Liaquat National Hospital |
| Subjects: | |
| Online Access: | https://journals.lnh.edu.pk/jlnh/pdf/b453ad45-118e-46aa-9231-44d420b12a0d.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | AI is the name of advanced technology that enables
machines to simulate human intelligence and behaviour
which has already been used and will continue in future
as well to transform whole generations. It is widely
opted not only at the industrial level but also in large
numbers used for educational purposes and in research
[1].
The subject of Anatomy is taught in the first two
years of undergraduate and it is considered as a core
component of medical curriculum. It provides the basis
for clinicians to explore skills in diagnoses, treatments
and management which are essential for safe medical
drill. Anatomy is a highly volatile, complex subject and
without continuous revision and recall it is difficult to
memorize for the long term. However, with the proper
approach and appropriate guidance, it can be explored.
For this new innovative technologies and teaching
methods should be incorporated for both learning and
assessment of anatomy [2]. There are a large number
of benefits to incorporating AI in anatomy for indepth-learning, distance teaching, quick feedback from
students, engagement of students in large as well as
in small group teaching sessions through digital 3D
anatomy for hidden structures, interactive teaching
educational tools e.g. (socrative, Kahoot, pedlet).
Digital anatomy through 3D printing of the human body
is the latest discipline that allows excelling in digital
medical technologies [3]. Almost all leading medical
schools venturing into digital anatomy as an area of
growing interest and importance. There has been a
clear shift in the last decade from traditional cadavericbased anatomy curricula to 3D digital imaging, 3D
reconstruction, and artificial intelligence [4]. Gamified
technological tools based on artificial intelligence have
functionalities which can help students of undergraduate
to understand and learn anatomy and also enable them
to identify and recognize human anatomical structures
anytime, anywhere because it is designed for mobile
apps. Anatomy education based on artificial intelligence
in medical schools has had to adapt to the integration
of new innovative teaching modalities. Assimilation of
educational technologies has gained distinction mainly
because it has been proven as a tool for the retention of
anatomy. AI is currently transitioning from theoretical to
practical not only during the first two years of medical
students but also during clinical curriculum such as in
radiology, emergency, internal medicine and neurology.
Morphological Anatomy can be taught in detail by
incorporating computer software that presents animated
anatomical images which have already had a positive
impact on the practical learning of human anatomy
[5]. It became insufficient for students to rely only on
traditional approaches (printed atlases and textbooks) to
meet the emerging demands of the era. Due to this with
the advent of AI, a transition occurs to generate accurate,
detailed and customized anatomical illustrations to
retain complex anatomical concepts of the human body.
Visual representations of anatomical illustrations are an
essential tool for educators, AI-powered text-to-image
generators in developing anatomical illustrations of
human skulls, hearts brains etc. A few examples of these
are Craiyon V3, Microsoft Binge Image Creator, and
Stable Diffusion [6].
AI-infused anatomy education excels in areas such
as object matching, pattern recognition and image
identification. Thus, AI benefits students in identifying
not only primitive anatomical structures, relations,
functions, and innervations but also unobserved
anatomical structures [7]. During the period of the
COVID-19 pandemic in 2020, there was a rapid shift to
emergency distance learning resulted in the adaptation
of many new learning and teaching approaches in
the subject of anatomy for a better understanding of
undergraduate students in an artificial intelligence
context. However, all the faculty, and health care
professionals were trained and educated to use artificial
intelligence to maintain factual knowledge secondly
more important how to use it in future also [8]. One
more example of AI in anatomy teaching is ChatGPT.
No doubt it increases students’ engagement, and ability
to learn and has strong text analysis. However, Chat
GPT faces many challenges and limitations. ChatGPT
forces human beings to explore more, to change the
original way of teaching and learning. However, the
creativity of human beings is not replaced by artificial machines and human beings are always creators of
machines [9].
It is a big challenge for the faculty of Anatomy but
in future, there should be a combination of virtual
assistants and artificial intelligence which will
improve the learning and academic performance of
undergraduate students in medical colleges. In this
era of the digital world, students are deeply engaged
through social networks, AI-based game tools and
online platforms. The traditional classroom should be
changed to make educational practices more interactive
and attractive [10]. |
|---|---|
| ISSN: | 2959-1805 2960-2963 |