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The University of Tokyo

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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.