Zobrazeno 1 - 10
of 539
pro vyhledávání: '"Taro, Shimizu"'
Autor:
Sho Nishiguchi, Yuji Nishizaki, Miki Hamaguchi, Atshushi Goto, Masahiko Inamori, Kiyoshi Shikino, Tomohiro Shinozaki, Koshi Kataoka, Taro Shimizu, Yu Yamamoto, Sho Fukui, Hiroyuki Kobayashi, Yasuharu Tokuda
Publikováno v:
BMC Medical Education, Vol 24, Iss 1, Pp 1-13 (2024)
Abstract Background As healthcare professional trainees, resident physicians are expected to help with COVID-19 care in various ways. Many resident physicians worldwide have cared for COVID-19 patients despite the increased risk of burnout. However,
Externí odkaz:
https://doaj.org/article/6c969a7fa9e24473bbb8a4098a8be0ec
Autor:
Kiyoshi Shikino, Yasuharu Tokuda, Yu Yamamoto, Taro Shimizu, Hiroyuki Kobayashi, Masanori Nojima, Sho Fukui, Daiki Yokokawa, Koshi Kataoka, Yuji Nishizaki, Kazuya Nagasaki
Publikováno v:
BMJ Open, Vol 14, Iss 10 (2024)
Objectives With physician maldistribution recognised as a global issue, Japan implemented the physician uneven distribution (PUD) index as a strategic measure. Currently, there is a lack of objective assessment of core clinical competencies in region
Externí odkaz:
https://doaj.org/article/317dd70315944493a6da3ccd667e2d11
Autor:
Takanobu Hirosawa, Yukinori Harada, Kazuki Tokumasu, Takahiro Ito, Tomoharu Suzuki, Taro Shimizu
Publikováno v:
JMIR Medical Informatics, Vol 12, p e63010 (2024)
BackgroundGenerative artificial intelligence (GAI) systems by Google have recently been updated from Bard to Gemini and Gemini Advanced as of December 2023. Gemini is a basic, free-to-use model after a user’s login, while Gemini Advanced operates o
Externí odkaz:
https://doaj.org/article/7ba0765fade24733b629e056d3c85d35
Autor:
Kiyoshi Shikino, Miwa Sekine, Yuji Nishizaki, Yu Yamamoto, Taro Shimizu, Sho Fukui, Kazuya Nagasaki, Daiki Yokokawa, Takashi Watari, Hiroyuki Kobayashi, Yasuharu Tokuda
Publikováno v:
BMC Medical Education, Vol 24, Iss 1, Pp 1-10 (2024)
Abstract Background In Japan, postgraduate clinical training encompasses a 2-year residency program, including at least 24 weeks of internal medicine (IM) rotations. However, the fragmented structure of these rotations can compromise the training’s
Externí odkaz:
https://doaj.org/article/9b50e8ab6ab5498aabadd4080f8f9770
Autor:
Takanobu Hirosawa, Yukinori Harada, Kazuya Mizuta, Tetsu Sakamoto, Kazuki Tokumasu, Taro Shimizu
Publikováno v:
Digital Health, Vol 10 (2024)
Background Diagnostic performance of generative artificial intelligences (AIs) using large language models (LLMs) across comprehensive medical specialties is still unknown. Objective We aimed to evaluate the diagnostic performance of generative AIs u
Externí odkaz:
https://doaj.org/article/45e9474c178c46d3b10c137f5ffc74f3
Autor:
Sho Fukui, Taro Shimizu, Yuji Nishizaki, Kiyoshi Shikino, Yu Yamamoto, Hiroyuki Kobayashi, Yasuharu Tokuda
Publikováno v:
JMIR Medical Education, Vol 10, Pp e53193-e53193 (2024)
AbstractTo assess the utility of wearable cameras in medical examinations, we created a physician-view video-based examination question and explanation, and the survey results indicated that these cameras can enhance the evaluation and educational ca
Externí odkaz:
https://doaj.org/article/062d29e890974b8390bf4cd6c524229c
Autor:
Kiyoshi Shikino, Taro Shimizu, Yuki Otsuka, Masaki Tago, Hiromizu Takahashi, Takashi Watari, Yosuke Sasaki, Gemmei Iizuka, Hiroki Tamura, Koichi Nakashima, Kotaro Kunitomo, Morika Suzuki, Sayaka Aoyama, Shintaro Kosaka, Teiko Kawahigashi, Tomohiro Matsumoto, Fumina Orihara, Toru Morikawa, Toshinori Nishizawa, Yoji Hoshina, Yu Yamamoto, Yuichiro Matsuo, Yuto Unoki, Hirofumi Kimura, Midori Tokushima, Satoshi Watanuki, Takuma Saito, Fumio Otsuka, Yasuharu Tokuda
Publikováno v:
JMIR Medical Education, Vol 10, Pp e58758-e58758 (2024)
Abstract BackgroundThe persistence of diagnostic errors, despite advances in medical knowledge and diagnostics, highlights the importance of understanding atypical disease presentations and their contribution to mortality and morbidity. Artificial i
Externí odkaz:
https://doaj.org/article/59a53830d84b43969a24048dc0add974
Autor:
Takanobu Hirosawa, Yukinori Harada, Kazuya Mizuta, Tetsu Sakamoto, Kazuki Tokumasu, Taro Shimizu
Publikováno v:
JMIR Formative Research, Vol 8, p e59267 (2024)
BackgroundThe potential of artificial intelligence (AI) chatbots, particularly ChatGPT with GPT-4 (OpenAI), in assisting with medical diagnosis is an emerging research area. However, it is not yet clear how well AI chatbots can evaluate whether the f
Externí odkaz:
https://doaj.org/article/808db9f686cd4d58b4a67da85a428ba7
Autor:
Koshi Kataoka, Yuji Nishizaki, Taro Shimizu, Yu Yamamoto, Kiyoshi Shikino, Masanori Nojima, Kazuya Nagasaki, Sho Fukui, Sho Nishiguchi, Kohta Katayama, Masaru Kurihara, Rieko Ueda, Hiroyuki Kobayashi, Yasuharu Tokuda
Publikováno v:
JMIR Medical Education, Vol 10, Pp e52207-e52207 (2024)
Abstract BackgroundThe relationship between educational outcomes and the use of web-based clinical knowledge support systems in teaching hospitals remains unknown in Japan. A previous study on this topic could have been affected by recall bias becau
Externí odkaz:
https://doaj.org/article/893f071e94fc47fc95a8e224196fe435
Publikováno v:
JMIR Formative Research, Vol 8, p e53985 (2024)
BackgroundArtificial intelligence (AI) symptom checker models should be trained using real-world patient data to improve their diagnostic accuracy. Given that AI-based symptom checkers are currently used in clinical practice, their performance should
Externí odkaz:
https://doaj.org/article/ecd84d8418524bcfbfe324dcd8d44a68