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Usefulness of Interventions Using a Smartphone Cognitive Behavior Therapy Application for Children With Mental Health Disorders: Prospective, Single-Arm, Uncontrolled Clinical Trial

Shinichiro Nagamitsu, Ayumi Okada, Ryoichi Sakuta, Ryuta Ishii, Kenshi Koyanagi, Chizu Habukawa, Takashi Katayama, Masaya Ito, Ayako Kanie, Ryoko Otani, Takeshi Inoue, Tasuku Kitajima, Naoki Matsubara, Chie Tanaka, Chikako Fujii, Yoshie Shigeyasu, Michiko Matsuoka, Tatsuyuki Kakuma, Masaru Horikoshi

JMIR Form Res 2025;9:e60943

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eHealth Literacy and Adolescent Health in Japanese Female High School Students in Sendai: Cross-Sectional Study

Takashi Takeda, Kana Yoshimi, Sayaka Kai, Fumi Inoue

JMIR Pediatr Parent 2025;8:e73237

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Safety Evaluation in Healthy Adults of Motion-Based Virtual Reality Dichoptic Training for Pediatric Patients With Amblyopia: Prospective Intervention Study

Masakazu Hirota, Yuichi Okumura, Ken Nagino, Takao Hayashi, Takashi Negishi, Shintaro Nakao, Hitoshi Kawasaki, Takenori Inomata

JMIR Form Res 2025;9:e69801

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Assessing the Reliability and Validity of Principles for Health-Related Information on Social Media (PRHISM) for Evaluating Breast Cancer Treatment Videos on YouTube: Instrument Validation Study

Hiroki Kusama, Yoshimitsu Takahashi, Shunichiro Orihara, Kayo Adachi, Yumiko Ishizuka, Ryoko Semba, Hidetaka Shima, Yoshiya Horimoto, Hiroshi Kaise, Masataka Taguri, Sho Inoue, Takeo Nakayama, Takashi Ishikawa

JMIR Infodemiology 2025;5:e66416

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Machine Learning for Predicting Postoperative Functional Disability and Mortality Among Older Patients With Cancer: Retrospective Cohort Study

Yuki Hashimoto, Norihiko Inoue, Takuaki Tani, Shinobu Imai

JMIR Aging 2025;8:e65898

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Machine Learning Model for Predicting Coronary Heart Disease Risk: Development and Validation Using Insights From a Japanese Population–Based Study

Thien Vu, Yoshihiro Kokubo, Mai Inoue, Masaki Yamamoto, Attayeb Mohsen, Agustin Martin-Morales, Research Dawadi, Takao Inoue, Jie Ting Tay, Mari Yoshizaki, Naoki Watanabe, Yuki Kuriya, Chisa Matsumoto, Ahmed Arafa, Yoko M Nakao, Yuka Kato, Masayuki Teramoto, Michihiro Araki

JMIR Cardio 2025;9:e68066

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Stigma Attitudes Toward HIV/AIDS From 2011 Through 2023 in Japan: Retrospective Study in Japan

Yi Piao, Nao Taguchi, Keisuke Harada, Kunihiro Hirahara, Yosuke Takaku, John Austin, KuanYeh Lee, Yui Shiozawa, Yunfei Cheng, Yoji Inoue

J Med Internet Res 2025;27:e69696

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Disease Prediction Using Machine Learning on Smartphone-Based Eye, Skin, and Voice Data: Scoping Review

Research Dawadi, Mai Inoue, Jie Ting Tay, Agustin Martin-Morales, Thien Vu, Michihiro Araki

JMIR AI 2025;4:e59094

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Using Machine Learning to Predict the Duration of Atrial Fibrillation: Model Development and Validation

Satoshi Shimoo, Keitaro Senoo, Taku Okawa, Kohei Kawai, Masahiro Makino, Jun Munakata, Nobunari Tomura, Hibiki Iwakoshi, Tetsuro Nishimura, Hirokazu Shiraishi, Keiji Inoue, Satoaki Matoba

JMIR Med Inform 2024;12:e63795

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Movement Component Analysis of Reaching Strategies in Individuals With Stroke: Preliminary Study

Hirofumi Ota, Masahiko Mukaino, Yukari Inoue, Shoh Matsuura, Senju Yagi, Yoshikiyo Kanada, Eiichi Saitoh, Yohei Otaka

JMIR Rehabil Assist Technol 2023;10:e50571

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