Sharing reliable information worldwide: healthcare strategies based on artificial intelligence need external validation. Position paper by F. Pennestrì, F. Cabitza, N. Picerno, G. Banfi

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Which criteria are important in usability evaluation of mHealth applications: an umbrella review by Zahra Galavi, Mahdieh Montazeri, Reza Khajouei

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Combining theory and usability testing to inform optimization and implementation of an online primary care depression management tool by Nicola McCleary, Justin Presseau, Isabelle Perkins, Brittany Mutsaers, Claire E. Kendall, Janet Yamada, Katharine Gillis, Douglas Green

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Patients’ and plastic surgeons’ experiences with an online patient decision aid for breast reconstruction: considerations for nationwide implementation by Jacqueline A. ter Stege, Ellen G. Engelhardt, Leonie A.E. Woerdeman, Hester S.A. Oldenburg, Jacobien M. Kieffer, Daniela E.E. Hahn, Frederieke H. van Duijnhoven, Martine A. van Huizum, Regina The, Klemens Karssen, Marianne Kuenen, Miranda A. Gerritsma, Quinten (PQ) Ruhe, Irene S. Krabbe-Timmerman, Martijne van’t Riet, Nikola (AN) Kimmings, Eveline M.L. Corten, Kerry A. Sherman, Arjen J. Witkamp, Eveline M.A. Bleiker

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Death risk prediction model for patients with non-traumatic intracerebral hemorrhage by Yidan Chen, Xuhui Liu, Mingmin Yan, Yue Wan

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Identifying effective immune biomarkers in alopecia areata diagnosis based on machine learning methods by Qingde Zhou, Lan Lan, Wei Wang, Xinchang Xu

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A machine learning-based model for predicting paroxysmal and persistent atrial fibrillation based on EHR by Yuqi Zhang, Sijin Li, Peibiao Mai, Yanqi Yang, Niansang Luo, Chao Tong, Kuan Zeng, Kun Zhang

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The persian version of mhealth app usability questionnaire (MAUQ) for patients: a psychometric assessment study by Khadijeh Moulaei, Fatemeh Dinari, Abbas Sheikhtaheri, Kambiz Bahaadinbeigy, Sadrieh Hajesmaeel-Gohari

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Causal machine learning models for predicting low birth weight in midwife-led continuity care intervention in North Shoa Zone, Ethiopia by Wudneh Ketema Moges, Awoke Seyoum Tegegne, Aweke A. Mitku, Esubalew Tesfahun, Solomon Hailemeskel

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Unlocking the link: predicting cardiovascular disease risk with a focus on airflow obstruction using machine learning by Xiyu Cao, Jianli Ma, Xiaoyi He, Yufei Liu, Yang Yang, Yaqi Wang, Chuantao Zhang

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Examining inclusivity: the use of AI and diverse populations in health and social care: a systematic review by John Gabriel O. Marko, Ciprian Daniel Neagu, P. B. Anand

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Discovering patient groups in sequential electronic healthcare data using unsupervised representation learning by Jingteng Li, Kimberley R. Zakka, John Booth, Louise Rigny, Samiran Ray, Mario Cortina-Borja, Payam Barnaghi, Neil Sebire

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Ontology-based expansion of virtual gene panels to improve diagnostic efficiency for rare genetic diseases by Jaemoon Shin, Toyofumi Fujiwara, Hirotomo Saitsu, Atsuko Yamaguchi

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Accounting for racial bias and social determinants of health in a model of hypertension control by Yang Hu, Nicholas Cordella, Rebecca G. Mishuris, Ioannis Ch. Paschalidis

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Tough choices: the experience of family members of critically ill patients participating in ECMO treatment decision-making: a descriptive qualitative study by Xiangying Yang, Yao Lin, Amao Tang, Xiaokang Zeng, Weiying Dai, Qian Zhang, Li Ning

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Developing clinical prognostic models to predict graft survival after renal transplantation: comparison of statistical and machine learning models by Getahun Mulugeta, Temesgen Zewotir, Awoke Seyoum Tegegne, Mahteme Bekele Muleta, Leja Hamza Juhar

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Using a robust model to detect the association between anthropometric factors and T2DM: machine learning approaches by Nafiseh Hosseini, Hamid Tanzadehpanah, Amin Mansoori, Mostafa Sabzekar, Gordon A. Ferns, Habibollah Esmaily, Majid Ghayour-Mobarhan

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Development of an artificial intelligence-based application for the diagnosis of sarcopenia: a retrospective cohort study using the health examination dataset by Chang-Won Jeong, Dong-Wook Lim, Si-Hyeong Noh, Sung Hyun Lee, Chul Park

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Accuracy of artificial intelligence algorithms in predicting acute respiratory distress syndrome: a systematic review and meta-analysis by Yaxin Xiong, Yuan Gao, Yucheng Qi, Yingfei Zhi, Jia Xu, Kuo Wang, Qiuyue Yang, Changsong Wang, Mingyan Zhao, Xianglin Meng

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Safety and accuracy of digitally supported primary and secondary urgent care telephone triage in England: an observational study using routine data by Vanashree Sexton, Catherine Grimley, Jeremy Dale, Helen Atherton, Gary Abel

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