Academic Journal

Large language models in radiology: fundamentals, applications, ethical considerations, risks, and future directions

التفاصيل البيبلوغرافية
العنوان: Large language models in radiology: fundamentals, applications, ethical considerations, risks, and future directions
المؤلفون: Akinci D'Antonoli T., Stanzione A., Bluethgen C., Vernuccio F., Ugga L., Klontzas M. E., Cuocolo R., Cannella R., Kocak B.
المساهمون: Akinci D'Antonoli T., Stanzione A., Bluethgen C., Vernuccio F., Ugga L., Klontzas M.E., Cuocolo R., Cannella R., Kocak B.
بيانات النشر: Galenos Publishing House
سنة النشر: 2024
المجموعة: IRIS Università degli Studi di Palermo
مصطلحات موضوعية: artificial intelligence, ChatGPT, deep learning, Large language models, natural language processing
الوصف: With the advent of large language models (LLMs), the artificial intelligence revolution in medicine and radiology is now more tangible than ever. Every day, an increasingly large number of articles are published that utilize LLMs in radiology. To adopt and safely implement this new technology in the field, radiologists should be familiar with its key concepts, understand at least the technical basics, and be aware of the potential risks and ethical considerations that come with it. In this review article, the authors provide an overview of the LLMs that might be relevant to the radiology community and include a brief discussion of their short history, technical basics, ChatGPT, prompt engineering, potential applications in medicine and radiology, advantages, disadvantages and risks, ethical and regulatory considerations, and future directions.
نوع الوثيقة: article in journal/newspaper
اللغة: English
Relation: info:eu-repo/semantics/altIdentifier/pmid/37789676; info:eu-repo/semantics/altIdentifier/wos/WOS:001222062400006; volume:30; issue:2; firstpage:80; lastpage:90; numberofpages:11; journal:DIAGNOSTIC AND INTERVENTIONAL RADIOLOGY; https://hdl.handle.net/10447/639561; info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85187104292
DOI: 10.4274/dir.2023.232417
الاتاحة: https://hdl.handle.net/10447/639561
https://doi.org/10.4274/dir.2023.232417
Rights: info:eu-repo/semantics/openAccess
رقم الانضمام: edsbas.173F4976
قاعدة البيانات: BASE