Article ; Online: Improving radiology workflow using ChatGPT and artificial intelligence.
2023 Volume 103, Page(s) 109993
Abstract: Artificial Intelligence is a branch of computer science that aims to create intelligent machines capable of performing tasks that typically require human intelligence. One of the branches of artificial intelligence is natural language processing, which ... ...
Abstract | Artificial Intelligence is a branch of computer science that aims to create intelligent machines capable of performing tasks that typically require human intelligence. One of the branches of artificial intelligence is natural language processing, which is dedicated to studying the interaction between computers and human language. ChatGPT is a sophisticated natural language processing tool that can understand and respond to complex questions and commands in natural language. Radiology is a vital aspect of modern medicine that involves the use of imaging technologies to diagnose and treat medical conditions artificial intelligence, including ChatGPT, can be integrated into radiology workflows to improve efficiency, accuracy, and patient care. ChatGPT can streamline various radiology workflow steps, including patient registration, scheduling, patient check-in, image acquisition, interpretation, and reporting. While ChatGPT has the potential to transform radiology workflows, there are limitations to the technology that must be addressed, such as the potential for bias in artificial intelligence algorithms and ethical concerns. As technology continues to advance, ChatGPT is likely to become an increasingly important tool in the field of radiology, and in healthcare more broadly. |
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MeSH term(s) | Humans ; Artificial Intelligence ; Workflow ; Radiography ; Radiology ; Algorithms |
Language | English |
Publishing date | 2023-10-06 |
Publishing country | United States |
Document type | Journal Article ; Review |
ZDB-ID | 1028123-x |
ISSN | 1873-4499 ; 0899-7071 |
ISSN (online) | 1873-4499 |
ISSN | 0899-7071 |
DOI | 10.1016/j.clinimag.2023.109993 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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