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Nihon University

62.638 Arbeiten2.320.884 Zitationen
Land: JPTyp: education

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Meistzitierte Publikationen im Bereich Gesundheit & MedTech

How will “democratization of artificial intelligence” change the future of radiologists?

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Application of explainable ensemble artificial intelligence model to categorization of hemodialysis-patient and treatment using nationwide-real-world data in Japan

Eiichiro Kanda, Bogdan I. Epureanu, Taiji ADACHI et al.

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Machine Learning in Predicting Tooth Loss: A Systematic Review and Risk of Bias Assessment

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Plagiarism awareness

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Development of Machine-learning Model to Predict Anticoagulant Use and Type in Geriatric Traumatic Brain Injury Using Coagulation Parameters

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Validation of the EuroSCORE in Japan

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2008 · 0 Zit.

Introduction to Coarse Ethics: Tradeoff Between the Accuracy and Interpretability of Explainable Artificial Intelligence

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2024 · 0 Zit.

A deep learning-based prediction model for prognosis of cervical spine injury: a Japanese multicenter survey

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The Comparison of Kellgren-Lawrence Grade Evaluation Between ChatGPT-5 and Orthopedic Surgeons: It’s Conformity and Test-Retest Reliability

Takanori Iriuchishima, Shin Hasegawa

2026 · 0 Zit.

LLM-Based Evaluation of Utterances with Implicature Understanding

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GS10-4 Reconstruction simulation of a concussion case of head injury accidents in playing American football(GS10: Sports and Impact Biomechanics)

Ryoma Kita, Takamasa Aoki, Hiromichi NAKADATE et al.

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Biomedical research publication in the age of artificial intelligence: Current prospects for balancing integrity and innovation

Vivek Kumar Bains, Ujjal K. Bhawal

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From Doubt to Action

Zanwei Wang, Yuta Ashihara, Takashi Omori et al.

2025 · 0 Zit.