ChatGPT for Sample-Size Calculation in Sports Medicine and Exercise Sciences: A Cautionary Note.

Methnani Jabeur Latiri Imed Ismail Dergaa Karim Chamari Helmi Ben Saad

Published in: International journal of sports physiology and performance (2023)

While the use of artificial-intelligence tools holds great promise, it should be noted that it might lead to errors and inconsistencies in sample-size calculations even when the tool is fed with the necessary correct information. As artificial-intelligence technology continues to advance and learn from human feedback, there is hope for improvement in sample-size calculation and other research tasks. However, it is important for scientists to exercise caution in utilizing these tools. Future studies should assess more advanced/powerful versions of this tool (ie, ChatGPT4).

Keyphrases

artificial intelligence
big data
machine learning
deep learning
high intensity
endothelial cells
monte carlo
physical activity
resistance training
molecular dynamics
induced pluripotent stem cells
current status
healthcare
emergency department
patient safety
social media
electronic health record
upper limb