Zobrazeno 1 - 10
of 4 503
pro vyhledávání: '"Large language model"'
Publikováno v:
Zhihui kongzhi yu fangzhen, Vol 46, Iss 6, Pp 8-14 (2024)
Aiming at the intelligent design of combat systems, we proposed a conceptual framework and application methods of Agent based on artificial intelligence technology. First, we analyze the concept of Agent and discusse the important significance of stu
Externí odkaz:
https://doaj.org/article/c28dc6f1d89a439a984b71419b18c4ad
Autor:
Partha Pratim Ray
Publikováno v:
Laparoscopic, Endoscopic and Robotic Surgery, Vol 7, Iss 4, Pp 174-180 (2024)
This opinion paper explores the transformative potential of large language models (LLMs) in laparoscopic surgery and argues for their integration to enhance surgical education, decision support, reporting, and patient care. LLMs can revolutionize sur
Externí odkaz:
https://doaj.org/article/d52f241735db4de1ad32208b2eb1ba70
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 23, Iss , Pp 3254-3257 (2024)
Introduction: OpenAI's ChatGPT, a Large Language Model (LLM), is a powerful tool across domains, designed for text and code generation, fostering collaboration, especially in public health. Investigating the role of this advanced LLM chatbot in assis
Externí odkaz:
https://doaj.org/article/ad7c1179750548eda95e5bd524072673
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 23, Iss , Pp 843-858 (2024)
Cerebral cavernous malformation (CCM) is a polygenic disease with intricate genetic interactions contributing to quantitative pathogenesis across multiple factors. The principal pathogenic genes of CCM, specifically KRIT1, CCM2, and PDCD10, have been
Externí odkaz:
https://doaj.org/article/02a11133a81840af86234ca6ff76dc57
Autor:
Cindy N. Ho, Tiffany Tian, Alessandra T. Ayers, Rachel E. Aaron, Vidith Phillips, Risa M. Wolf, Nestoras Mathioudakis, Tinglong Dai, David C. Klonoff
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 24, Iss 1, Pp 1-14 (2024)
Abstract Background The large language models (LLMs), most notably ChatGPT, released since November 30, 2022, have prompted shifting attention to their use in medicine, particularly for supporting clinical decision-making. However, there is little co
Externí odkaz:
https://doaj.org/article/5dbdaf49c6ce4b80a1165eb04ddf4847
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 24, Iss 1, Pp 1-11 (2024)
Abstract Background Owing to the rapid growth in the popularity of Large Language Models (LLMs), various performance evaluation studies have been conducted to confirm their applicability in the medical field. However, there is still no clear framewor
Externí odkaz:
https://doaj.org/article/cf779519175b464995d3c83bac9da465
Publikováno v:
CVIR Endovascular, Vol 7, Iss 1, Pp 1-6 (2024)
Abstract Purpose The study aims to evaluate how current interventional radiologists view ChatGPT in the context of informed consent for interventional radiology (IR) procedures. Methods ChatGPT-4 was instructed to outline the risks, benefits, and alt
Externí odkaz:
https://doaj.org/article/504058f9b7034a10a5ca554a4c2b1c75
Publikováno v:
Biomedical Papers, Vol 168, Iss 4, Pp 277-283 (2024)
Artificial Intelligence (AI) has evolved significantly over the past decades, from its early concepts in the 1950s to the present era of deep learning and natural language processing. Advanced large language models (LLMs), such as Chatbot Generative
Externí odkaz:
https://doaj.org/article/eaf5269551dc4ed2bc5b41f493705ba0
Autor:
Abdullah Mohd Hafizul Afifi, Aziz Norshakirah, Abdulkadir Said Jadid, Hussain Kashif, Alhussian Hitham, Talpur Noureen
Publikováno v:
Journal of Data and Information Science, Vol 9, Iss 4, Pp 196-238 (2024)
The purpose of this study is to serve as a comprehensive review of the existing annotated corpora. This review study aims to provide information on the existing annotated corpora for event extraction, which are limited but essential for training and
Externí odkaz:
https://doaj.org/article/da0b237916ea40ac954a326756205742
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract This study aims to measure the performance of different AI-language models in three sets of pre-internship medical exams and to compare their performance with Iranian medical students. Three sets of Persian pre-internship exams were used, al
Externí odkaz:
https://doaj.org/article/55a2a43630df4072b56d97be3da11111