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GPT-3.5 Turbo and GPT-4 Turbo in Title and Abstract Screening for Systematic Reviews

Takehiko Oami, Yohei Okada, Taka-aki Nakada

JMIR Med Inform 2025;13:e64682

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Performance Improvement of a Natural Language Processing Tool for Extracting Patient Narratives Related to Medical States From Japanese Pharmaceutical Care Records by Increasing the Amount of Training Data: Natural Language Processing Analysis and Validation Study

Yukiko Ohno, Tohru Aomori, Tomohiro Nishiyama, Riri Kato, Reina Fujiki, Haruki Ishikawa, Keisuke Kiyomiya, Minae Isawa, Mayumi Mochizuki, Eiji Aramaki, Hisakazu Ohtani

JMIR Med Inform 2025;13:e68863

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Breast Cancer Screening Participation and Internet Search Activity in a Japanese Population: Decade-Long Time-Series Study

Noriaki Takahashi, Mutsuhiro Nakao, Tomio Nakayama, Tsutomu Yamazaki

JMIR Cancer 2025;11:e64020

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Changes in Physical Activity Across Cancer Diagnosis and Treatment Based on Smartphone Step Count Data Linked to a Japanese Claims Database: Retrospective Cohort Study

Yoshihide Inayama, Ken Yamaguchi, Kayoko Mizuno, Sachiko Tanaka-Mizuno, Ayami Koike, Nozomi Higashiyama, Mana Taki, Koji Yamanoi, Ryusuke Murakami, Junzo Hamanishi, Satomi Yoshida, Masaki Mandai, Koji Kawakami

JMIR Cancer 2025;11:e58093

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Evaluating and Enhancing Japanese Large Language Models for Genetic Counseling Support: Comparative Study of Domain Adaptation and the Development of an Expert-Evaluated Dataset

Takuya Fukushima, Masae Manabe, Shuntaro Yada, Shoko Wakamiya, Akiko Yoshida, Yusaku Urakawa, Akiko Maeda, Shigeyuki Kan, Masayo Takahashi, Eiji Aramaki

JMIR Med Inform 2025;13:e65047

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Educational Utility of Clinical Vignettes Generated in Japanese by ChatGPT-4: Mixed Methods Study

Hiromizu Takahashi, Kiyoshi Shikino, Takeshi Kondo, Akira Komori, Yuji Yamada, Mizue Saita, Toshio Naito

JMIR Med Educ 2024;10:e59133

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eHealth Literacy and Web-Based Health Information–Seeking Behaviors on COVID-19 in Japan: Internet-Based Mixed Methods Study

Seigo Mitsutake, Koichiro Oka, Orkan Okan, Kevin Dadaczynski, Tatsuro Ishizaki, Takeo Nakayama, Yoshimitsu Takahashi

J Med Internet Res 2024;26:e57842

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Is Boundary Annotation Necessary? Evaluating Boundary-Free Approaches to Improve Clinical Named Entity Annotation Efficiency: Case Study

Gabriel Herman Bernardim Andrade, Shuntaro Yada, Eiji Aramaki

JMIR Med Inform 2024;12:e59680

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Using the Natural Language Processing System Medical Named Entity Recognition-Japanese to Analyze Pharmaceutical Care Records: Natural Language Processing Analysis

Yukiko Ohno, Riri Kato, Haruki Ishikawa, Tomohiro Nishiyama, Minae Isawa, Mayumi Mochizuki, Eiji Aramaki, Tohru Aomori

JMIR Form Res 2024;8:e55798

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Illicit Trade of Prescription Medications Through X (Formerly Twitter) in Japan: Cross-Sectional Study

Hayase Hakariya, Natsuki Yokoyama, Jeonse Lee, Arisa Hakariya, Tatsuki Ikejiri

JMIR Form Res 2024;8:e54023

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