Abstract
The large language models (LLMs) represent a technology that has not yet seen widespread use. In addition to the automatic transcription of doctor-patient conversations, these tools will be able to support doctors in diagnosis and improve communication between doctors and patients. Their large-scale adoption is still limited due to concerns about sharing sensitive data, a lack of digital literacy, and the need to build new processes in clinical routines. To fully realize their potential, it is essential to train healthcare personnel on the functionalities of LLMs and to promote interdisciplinarity and scientific research, transforming artificial intelligence into augmented intelligence.
Published Version
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
