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AI-Derived Blood Biomarkers for Ovarian Cancer Diagnosis: Systematic Review and Meta-Analysis

He-Li Xu, Xiao-Ying Li, Ming-Qian Jia, Qi-Peng Ma, Ying-Hua Zhang, Fang-Hua Liu, Ying Qin, Yu-Han Chen, Yu Li, Xi-Yang Chen, Yi-Lin Xu, Dong-Run Li, Dong-Dong Wang, Dong-Hui Huang, Qian Xiao, Yu-Hong Zhao, Song Gao, Xue Qin, Tao Tao, Ting-Ting Gong, Qi-Jun Wu

J Med Internet Res 2025;27:e67922

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Usability, Acceptability, and Barriers to Implementation of a Collaborative Agenda-Setting Intervention (CASI) to Promote Person-Centered Ovarian Cancer Care: Development Study

Rachel A Pozzar, James A Tulsky, Donna L Berry, Jeidy Batista, Paige Barwick, Charlotta J Lindvall, Patricia C Dykes, Michael Manni, Ursula A Matulonis, Nadine J McCleary, Alexi A Wright

JMIR Cancer 2025;11:e66801

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Preliminary Screening for Hereditary Breast and Ovarian Cancer Using an AI Chatbot as a Genetic Counselor: Clinical Study

Ann Sato, Eri Haneda, Yukihiko Hiroshima, Hiroto Narimatsu

J Med Internet Res 2024;26:e48914

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Efficacy of a WeChat-Based, Multidisciplinary, Full-Course Nutritional Management Program on the Nutritional Status of Patients With Ovarian Cancer Undergoing Chemotherapy: Randomized Controlled Trial

Xiaojuan Tian, Yan Liu, Jiahua Zhang, Lixiao Yang, Linyao Feng, Aidong Qi, Hanjiazi Liu, Pengju Liu, Ying Li

JMIR Mhealth Uhealth 2024;12:e56475

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Survivorship Care for Women Living With Ovarian Cancer: Protocol for a Randomized Controlled Trial

Elizabeth Kvale, Farya Phillips, Samiran Ghosh, Jayanthi Lea, Claire Hoppenot, Anthony Costales, Jan Sunde, Hoda Badr, Eberechi Nwogu-Onyemkpa, Nimrah Saleem, Rikki Ward, Bijal Balasubramanian

JMIR Res Protoc 2024;13:e48069

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Predictive Value of Machine Learning for Platinum Chemotherapy Responses in Ovarian Cancer: Systematic Review and Meta-Analysis

Qingyi Wang, Zhuo Chang, Xiaofang Liu, Yunrui Wang, Chuwen Feng, Yunlu Ping, Xiaoling Feng

J Med Internet Res 2024;26:e48527

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Predicting Postoperative Hospital Stays Using Nursing Narratives and the Reverse Time Attention (RETAIN) Model: Retrospective Cohort Study

Sungjoo Han, Yong Bum Kim, Jae Hong No, Dong Hoon Suh, Kidong Kim, Soyeon Ahn

JMIR Med Inform 2023;11:e45377

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Evaluation of the Rosa Chatbot Providing Genetic Information to Patients at Risk of Hereditary Breast and Ovarian Cancer: Qualitative Interview Study

Elen Siglen, Hildegunn Høberg Vetti, Mirjam Augestad, Vidar M Steen, Åshild Lunde, Cathrine Bjorvatn

J Med Internet Res 2023;25:e46571

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Paradigmatic Approach to Support Personalized Counseling With Digital Health (iKNOW)

Dorothee Speiser, Maren Heibges, Laura Besch, Caren Hilger, Marie Keinert, Katharina Klein, Gudrun Rauwolf, Christine Schmid, Sven Schulz-Niethammer, Steffi Stegen, Viola Westfal, Isabell Witzel, Benedikt Zang, Friederike Kendel, Markus A Feufel

JMIR Form Res 2023;7:e41179

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Using Shopping Data to Improve the Diagnosis of Ovarian Cancer: Computational Analysis of a Web-Based Survey

Elizabeth H Dolan, James Goulding, Laila J Tata, Alexandra R Lang

JMIR Cancer 2023;9:e37141

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