The University of Tokyo
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Maximum Classifier Discrepancy for Unsupervised Domain Adaptation
Kuniaki Saito, Kohei Watanabe, Yoshitaka Ushiku et al.
2018 · 2.182 Zit.
Fairness of artificial intelligence in healthcare: review and recommendations
Daiju Ueda, Taichi Kakinuma, Shohei Fujita et al.
2023 · 450 Zit.
Deep learning and artificial intelligence in radiology: Current applications and future directions
Koichiro Yasaka, Osamu Abe
2018 · 226 Zit.
Artificial Intelligence & Creativity: A Manifesto for Collaboration
Florent Vinchon, Todd Lubart, Sabrina Bartolotta et al.
2023 · 171 Zit.
The importance of the assurance that “humans are still in the decision loop” for public trust in artificial intelligence: Evidence from an online experiment
Naomi Aoki
2020 · 90 Zit.
The impact of large language models on radiology: a guide for radiologists on the latest innovations in AI
Takeshi Nakaura, Rintaro Ito, Daiju Ueda et al.
2024 · 88 Zit.
Acceptance, Barriers, and Facilitators to Implementing Artificial Intelligence–Based Decision Support Systems in Emergency Departments: Quantitative and Qualitative Evaluation
Ryo Fujimori, Keibun Liu, Shoko Soeno et al.
2022 · 78 Zit.
Diagnostic performances of Claude 3 Opus and Claude 3.5 Sonnet from patient history and key images in Radiology’s “Diagnosis Please” cases
Ryo Kurokawa, Yuji Ohizumi, Jun Kanzawa et al.
2024 · 72 Zit.
Diagnostic performances of GPT-4o, Claude 3 Opus, and Gemini 1.5 Pro in “Diagnosis Please” cases
Yuki Sonoda, Ryo Kurokawa, Yuta Nakamura et al.
2024 · 72 Zit.
Screening of Alzheimer’s disease by facial complexion using artificial intelligence
Yumi Umeda‐Kameyama, Masashi Kameyama, Tomoki Tanaka et al.
2021 · 71 Zit.
Climate change and artificial intelligence in healthcare: Review and recommendations towards a sustainable future
Daiju Ueda, Shannon L. Walston, Shohei Fujita et al.
2024 · 70 Zit.
PRICAI 2002: Trends in Artificial Intelligence
Mitsuru Ishizuka, Abdul Sattar
2002 · 63 Zit.
The Accuracy and Potential Racial and Ethnic Biases of GPT-4 in the Diagnosis and Triage of Health Conditions: Evaluation Study
N. Ito, Sakina Kadomatsu, Mineto Fujisawa et al.
2023 · 57 Zit.
Natural Language Processing: from Bedside to Everywhere
Eiji Aramaki, Shoko Wakamiya, Shuntaro Yada et al.
2022 · 55 Zit.
PRICAI 2012: Trends in Artificial Intelligence
Patricia Anthony, Mitsuru Ishizuka, Dickson Lukose
2012 · 48 Zit.