We read the editorial by Botchu and Iyengar entitled “Will ChatGPT drive radiology
in the future?”[1] with great interest. ChatGPT's clinical application in radiology has the potential
to transform the sector. It has the potential to improve productivity, simplify the
preparation of radiology reports, and allow for speedier sharing of patient information.
This would result in faster turnaround times, fewer reporting backlogs, and more timely
decision-making for patient management. ChatGPT can also help with image interpretation
and pathology detection, boosting radiologists' ability with the support of artificial
intelligence (AI).
ChatGPT can also be used to educate patients and teach future radiologists. It can
be used to create interactive modules on various radiology techniques, enabling individualized
instruction and remote access solutions. Patient information tools can also be designed
to be user friendly, with interactive modules to answer patient questions and promote
patient satisfaction. This technology can also help with audit evaluation and subsequent
advancements in the field of radiology. However, as with any emerging technology,
there are legitimate worries about the validity and potential inaccuracies in patient
decision-making procedures. To address these concerns, future safeguarding techniques
such as increased inspection, cost, and seamless incorporation into current radiology
practices should be introduced. It is critical to recognize that technology and innovation
are always advancing and that with suitable safeguards in place, ChatGPT can deliver
increased diagnostic certainty, faster turnaround of patient reports, and improved
work–life balance for radiologists.
If there is no enough human oversight or verification, a chatbot may give a fake reference,
which could cause other issues.[2]
[3] Modern approaches and a large training set are needed to reduce bias and errors
from chatbots.[2]
[3] This is because relying only on a big data source carries hazards. Chatbot use poses
ethical questions because some of the impacts of chatbots might be unpleasant or unexpected.
To prevent the dissemination of harmful ideas and false information, ethical restrictions
and limitations must be put in place as AI language models develop. Human oversight
and verification are necessary because a chatbot may give a fake reference, which
could cause other issues.[2]
[3] New strategies and a broad training portfolio are necessary for success, because
relying only on a big data source can be hazardous. Chatbots pose ethical questions
since some of their effects can be unpleasant or unexpected. As AI language models
develop, ethical boundaries and restrictions must be incorporated to avoid the spread
of destructive ideas and false information. ChatGPT will continue to develop, but
it is important to be wary of any phony information it might create as evidenced by
studies. A previous report clearly showed that inaccurate and fictitious references
commonly result from ChatGPT use.[4] Hence, it is time for us to set a proper method for proper use of ChatGPT to avoid
unwanted problems.
