TY - JOUR
T1 - ChatGPT and Artificial Intelligence in Hospital Level Research
T2 - Potential, Precautions, and Prospects
AU - Arshad, Hassaan B.
AU - Butt, Sara A.
AU - Khan, Safi U.
AU - Javed, Zulqarnain
AU - Nasir, Khurram
N1 - Publisher Copyright:
Copyright: © 2023 The Author(s).
PY - 2023
Y1 - 2023
N2 - Rapid advancements in artificial intelligence (AI) have revolutionized numerous sectors, including medical research. Among the various AI tools, OpenAI's ChatGPT, a state-of-the-art language model, has demonstrated immense potential in aiding and enhancing research processes. This review explores the application of ChatGPT in medical hospital level research, focusing on its capabilities for academic writing assistance, data analytics, statistics handling, and code generation. Notably, it delves into the model's ability to streamline tasks, support decision making, and improve patient interaction. However, the article also underscores the importance of exercising caution while dealing with sensitive healthcare data and highlights the limitations of ChatGPT, such as its potential for erroneous outputs and biases. Furthermore, the review discusses the ethical considerations that arise with AI use in health care, including data privacy, AI interpretability, and the risk of AI-induced disparities. The article culminates by envisioning the future of AI in medical research, emphasizing the need for robust regulatory frameworks and guidelines that balance the potential of AI with ethical considerations. As AI continues to evolve, it holds promising potential to augment medical research in a manner that is ethical, equitable, and patient-centric.
AB - Rapid advancements in artificial intelligence (AI) have revolutionized numerous sectors, including medical research. Among the various AI tools, OpenAI's ChatGPT, a state-of-the-art language model, has demonstrated immense potential in aiding and enhancing research processes. This review explores the application of ChatGPT in medical hospital level research, focusing on its capabilities for academic writing assistance, data analytics, statistics handling, and code generation. Notably, it delves into the model's ability to streamline tasks, support decision making, and improve patient interaction. However, the article also underscores the importance of exercising caution while dealing with sensitive healthcare data and highlights the limitations of ChatGPT, such as its potential for erroneous outputs and biases. Furthermore, the review discusses the ethical considerations that arise with AI use in health care, including data privacy, AI interpretability, and the risk of AI-induced disparities. The article culminates by envisioning the future of AI in medical research, emphasizing the need for robust regulatory frameworks and guidelines that balance the potential of AI with ethical considerations. As AI continues to evolve, it holds promising potential to augment medical research in a manner that is ethical, equitable, and patient-centric.
KW - ChatGPT
KW - artificial intelligence
KW - data analytics
KW - medical research
KW - outcomes research
UR - http://www.scopus.com/inward/record.url?scp=85178642342&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85178642342&partnerID=8YFLogxK
U2 - 10.14797/mdcvj.1290
DO - 10.14797/mdcvj.1290
M3 - Review article
C2 - 38028967
AN - SCOPUS:85178642342
SN - 1947-6094
VL - 19
SP - 77
EP - 84
JO - Methodist DeBakey cardiovascular journal
JF - Methodist DeBakey cardiovascular journal
IS - 5
ER -