Chat GPT-4: Potentials, barriers, and future directions for newer medical researchers

Elsevier

Available online 15 March 2024

The American Journal of the Medical SciencesAuthor links open overlay panel, Section snippetsPotentials

Literature has established that the main purpose of GPT-4 in medical research is to support investigators with multiple tasks by utilizing its language processing skills9, which are as follows:

ChatGPT/GPT-4 identifies study designs and pertinent facts by evaluating vast amounts of medical literature to increase the efficiency of newer medical investigators’ writing styles.9

Remarkably, GPT-4 not only saves time for researchers by automatic generation of content and novel research hypotheses but

Barriers

Notwithstanding GPT-4’s potential in medical research, the barriers generated using GPT-4 ought to be evaluated and taken into account. These barriers are as follows which should be focused on in medical research projects:

GPT-4 may be unlikely to understand and analyze certain kinds of health-related data because these tools were limited by the data their training model received.

GPT-4 was not engaged in the actual design of the research protocols and lacked openness and transparency in the

Future directions

In the context of medical research, the author proposes that there are multiple areas of focus for Chat GPT-4 development. Firstly, employing ethical principles. This necessitates a widespread devotion to fundamental values including openness or transparency, diversity, human monitoring, and thorough assessment.15 Secondly, determining that these programs are trained on high-quality and domain-specific input health data. This entails training the model with clinical guidelines, medical

Conclusions

Conversational AI, such as ChatGPT/GPT-4, is a growing, vital, and pivotal contributor to researchers in the future. Also, it was believed that these kinds of tools can be utilized in numerous ways to improve researchers' knowledge, even though challenges and risks continue to exist. Therefore, it is the responsibility of scientific organizations to ascertain the most appropriate way to integrate LLMs into the research and publication workflow as technology advances, paying particular emphasis

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© 2024 Published by Elsevier Inc. on behalf of Southern Society for Clinical Investigation.

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