Integrating Chat Generative Pretrained Transformer as a New Dimension in Medical Physics: The Way Forward

Author:

Sarma Gautam1,Kashyap Hrishikesh1,Medhi Partha Pratim1

Affiliation:

1. Department of Radiation Oncology, All India Institute of Medical Sciences, Guwahati, Assam, India

Abstract

ABSTRACT Chat Generative Pretrained Transformer (ChatGPT), a groundbreaking language model powered by artificial intelligence, has revolutionized various industries, including healthcare. In the field of medical physics, ChatGPT offers numerous applications and benefits. ChatGPT can enhance patient communication by generating responses to inquiries, providing information, and addressing concerns. It can serve as a decision support tool by analyzing the patient data and providing insights for treatment optimization. Moreover, it can streamline administrative tasks, support quality assurance activities, aid in education and training, and contribute to research and innovation in medical physics. However, it is important to acknowledge ChatGPT’s limitations, such as its limited understanding of complex medical physics concepts and the inability to perform calculations or analyze data with the expertise of a human professional. In addition, ethical considerations regarding authorship, biases, and data reliability should be carefully addressed. Despite these limitations, ChatGPT holds immense promise in the field of medical physics. Hence, it is important to view ChatGPT as a tool to enhance productivity rather than a substitute for human expertise, and verification of its responses is crucial.

Publisher

Medknow

Reference9 articles.

1. ChatGPT in medicine:An overview of its applications, advantages, limitations, future prospects, and ethical considerations;Dave;Frontiers in Artificial Intelligence,2023

2. The potential impact of ChatGPT in clinical and translational medicine;Baumgartner;Clin Transl Med,2023

3. ChatGPT:The future of discharge summaries?;Patel;Lancet Digit Health,2023

4. The capability of ChatGPT in predicting and explaining common drug-drug interactions;Juhi;Cureus,2023

5. Toward a conversational agent to support the self-management of adults and young adults with sickle cell disease:Usability and usefulness study;Issom;Front Digit Health,2021

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