AIMC Topic: Computer-Assisted Instruction

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Digital and artificial intelligence-assisted cephalometric training effectively enhanced students' landmarking accuracy in preclinical orthodontic education.

BMC oral health
BACKGROUND: Digital cephalometric analyses, including those assisted by artificial intelligence (AI), are widely used in clinical practice. Similarly, computer-assisted learning has demonstrated teaching outcomes comparable to those of traditional me...

Using ChatGPT for medical education: the technical perspective.

BMC medical education
BACKGROUND: The chatbot application Bennie and the Chats was introduced due to the outbreak of COVID-19, which is aimed to provide substitution for teaching conventional clinical history-taking skills. It was implemented with DialogFlow with preset r...

Can ChatGPT play a significant role in anatomy education? A scoping review.

Morphologie : bulletin de l'Association des anatomistes
PURPOSE: We performed a scoping review to explore if ChatGPT, an artificial intelligence platform, can play a significant role in anatomy education.

Introducing AnatomyGPT: A customized artificial intelligence application for anatomical sciences education.

Clinical anatomy (New York, N.Y.)
Artificial intelligence (AI) technologies are poised to become an increasingly important part of education in the anatomical sciences. OpenAI has also introduced generative pretrained transformers (GPTs), which are customizable versions of the standa...

Randomized controlled trial of the CMR immersive virtual reality (IVR) headset training compared to e-learning for operating room configuration of the CMR versius robot.

Journal of robotic surgery
Robotic surgery offers potential advantages over laparoscopic procedures, but the training for configuring robotic systems in the operating room remains underexplored. This study seeks to validate immersive virtual reality (IVR) headset training for ...

Educating the next generation of radiologists: a comparative report of ChatGPT and e-learning resources.

Diagnostic and interventional radiology (Ankara, Turkey)
Rapid technological advances have transformed medical education, particularly in radiology, which depends on advanced imaging and visual data. Traditional electronic learning (e-learning) platforms have long served as a cornerstone in radiology educa...

Validating instructional design and predicting student performance in histology education: Using machine learning via virtual microscopy.

Anatomical sciences education
As a part of modern technological environments, virtual microscopy enriches histological learning, with support from large institutional investments. However, existing literature does not supply empirical evidence of its role in improving pedagogy. V...

The rise of ChatGPT: Exploring its potential in medical education.

Anatomical sciences education
The integration of artificial intelligence (AI) into medical education has the potential to revolutionize the way students learn about biomedical sciences. Large language models, such as ChatGPT, can serve as virtual teaching assistants, providing st...

Evaluation of Multimedia Courseware-Assisted Teaching Effect of Medical Images Based on the Deep Learning Algorithm.

Journal of environmental and public health
In order to improve the dynamic evaluation ability of medical image multimedia courseware-assisted teaching effect, the evaluation of medical image multimedia courseware-assisted teaching effect based on a deep learning algorithm is proposed. The sta...

Developing Multiagent E-Learning System-Based Machine Learning and Feature Selection Techniques.

Computational intelligence and neuroscience
Recently, artificial intelligence (AI) domain increased to contain finance, education, health, mining, and education. Artificial intelligence controls the performance of systems that use new technologies, especially in the education environment. The ...