Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Integrating Chat Generative Pretrained Transformer as a New Dimension in Medical Physics: The Way Forward
1
Zitationen
3
Autoren
2023
Jahr
Abstract
A BSTRACT 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.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.291 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.143 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.535 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.776 Zit.
Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
2018 · 5.452 Zit.