Zobrazeno 1 - 10
of 4 527
pro vyhledávání: '"Bing"'
Autor:
Ventayen, Randy Joy M.1 rventayen@psu.edu.ph
Publikováno v:
International Journal of Multidisciplinary: Applied Business & Education Research. Mar2024, Vol. 5 Issue 3, p917-924. 8p.
Autor:
Schulman, Lawrence
Publikováno v:
ARSC Journal. Fall2023, Vol. 54 Issue 2, p356-358. 3p.
Autor:
McGrath, Declan
Publikováno v:
Cineaste. Spring2024, Vol. 49 Issue 2, p54-55. 2p. 2 Color Photographs.
Autor:
Zhang, Jane (AUTHOR), Ingles, David (AUTHOR)
Publikováno v:
Bloomberg.com. 5/28/2024, pN.PAG-N.PAG. 1p.
Autor:
Zhang, Jane (AUTHOR), Ingles, David (AUTHOR)
Publikováno v:
Bloomberg.com. 5/27/2024, pN.PAG-N.PAG. 1p.
Autor:
Eyupcan Sensoy, Mehmet Citirik
Publikováno v:
Oman Journal of Ophthalmology, Vol 17, Iss 3, Pp 348-351 (2024)
BACKGROUND This study aims to evaluate the knowledge levels of chat generative pretrained transformer (ChatGPT), Bing, and Bard programs, which are three different artificial intelligence chatbots offered to the market free of charge by various manuf
Externí odkaz:
https://doaj.org/article/89d0a8f31245474c8ac95d39c3996f94
Autor:
Eyupcan Sensoy, Mehmet Citirik
Publikováno v:
Journal of Current Ophthalmology, Vol 36, Iss 1, Pp 78-81 (2024)
Purpose To evaluate the answers to multiple-choice questions about retina and vitreous diseases and treatment modalities of Chat Generative Pre-Trained Transformer (ChatGPT), Bard, and Bing artificial intelligence chatbots, examining the level of kno
Externí odkaz:
https://doaj.org/article/7f8234e4d0574d4abfbbf78676c92551
Autor:
Pradosh Kumar Sarangi, Suvrankar Datta, M. Sarthak Swarup, Swaha Panda, Debasish Swapnesh Kumar Nayak, Archana Malik, Ananda Datta, Himel Mondal
Publikováno v:
Indian Journal of Radiology and Imaging, Vol 34, Iss 04, Pp 653-660 (2024)
Background Artificial intelligence chatbots have demonstrated potential to enhance clinical decision-making and streamline health care workflows, potentially alleviating administrative burdens. However, the contribution of AI chatbots to radiologic d
Externí odkaz:
https://doaj.org/article/b8e718d7ca82458485227d9f596e5b55
Autor:
Eyupcan Sensoy, Mehmet Citirik
Publikováno v:
Taiwan Journal of Ophthalmology, Vol 14, Iss 3, Pp 409-413 (2024)
PURPOSE: The purpose of the study was to evaluate the knowledge level of the Chat Generative Pretrained Transformer (ChatGPT), Bard, and Bing artificial intelligence (AI) chatbots regarding ocular inflammation, uveal diseases, and treatment modalitie
Externí odkaz:
https://doaj.org/article/c573c88485eb4fb58a46044e3793d25f
Publikováno v:
Medicine Advances, Vol 2, Iss 3, Pp 284-290 (2024)
Abstract Background This study evaluated the performance of generative artificial intelligence (AI) models on the Orthopaedic In‐Training Examination (OITE), an annual exam administered to U.S. orthopaedic residency programs. Methods ChatGPT 3.5 an
Externí odkaz:
https://doaj.org/article/ca8c8a07cef24f76a205600c1e867c7d