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Tokyo Medical University

20.210 Arbeiten1.308.567 Zitationen
Land: JPTyp: education

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Meistzitierte Publikationen im Bereich Gesundheit & MedTech

The Accuracy and Potential Racial and Ethnic Biases of GPT-4 in the Diagnosis and Triage of Health Conditions: Evaluation Study

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Predicting the prognosis of lower rectal cancer using preoperative magnetic resonance imaging with artificial intelligence

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Nicolas Girerd, Masatake Kobayashi

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Pixel Tampering: Does Face Redaction Harm Medical AI Performance?

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Machine Learning and Abdominal Aortic Aneurysm: A New Paradigm in Prediction and Prognosis after Endovascular Aneurysm Repair

Toshiya Nishibe, Tsuyoshi Iwasa, Shoji Fukuda et al.

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Challenges, Ethical Considerations, and Best Practices of Using AI-Assisted Translation in Medical Writing: Examples From Japanese-English Translations

Takako Kojima, Tomoko Morita, H. Akiko Popiel

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Prompt-Driven Data Analysis Using Generative AI: The Potential and Limitations of No-Code Machine Learning in Medical Research

Toshiya Nishibe, Tsuyoshi Iwasa, Tomohiro Nakajima et al.

2026 · 0 Zit.

Artificial Intelligence and Digital Innovation in Cardiovascular Medicine

Toru Suzuki, Rick Suzuki

2026 · 0 Zit.

Bridging Statistics and Machine Learning: Understanding Differences and Practical Use in Clinical Research

Toshiya Nishibe, Tsuyoshi Iwasa, Tomohiro Nakajima et al.

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Evaluation of a ChatGPT-based artificial intelligence medical consultation system for frailty and sarcopenia related symptoms in older adults

Ken Tanaka, Tatsuya Motoki, Yosuke Matsui et al.

2026 · 0 Zit.