Published July 2024 | Version v1
Journal article

Integrating chat generative pre trained transformer as a new dimension in medical physics: the way forward

  • 1. Department of Radiation Oncology, All India Institute of Medical Sciences, Guwahati (India)

Description

Chat Generative Pre trained 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. (author)

Additional details

Identifiers

Publishing Information

Journal Title
Journal of Radiation and Cancer Research (Print)
Journal Volume
15
Journal Issue
3
Journal Page Range
p. 139-142
ISSN
2588-9273

INIS

Country of Publication
India
Country of Input or Organization
India
INIS RN
55092850
Subject category
S62: RADIOLOGY AND NUCLEAR MEDICINE;
Descriptors DEI
ARTIFICIAL INTELLIGENCE; EDUCATIONAL TOOLS; EXPERT SYSTEMS; PUBLIC HEALTH; QUALITY ASSURANCE; RADIOTHERAPY; TRAINING
Descriptors DEC
EDUCATION; MANAGEMENT; MEDICINE; NUCLEAR MEDICINE; QUALITY MANAGEMENT; RADIOLOGY; THERAPY