| Readiness for voice assistants to support healthcare delivery during a health crisis and pandemic E Sezgin, Y Huang, U Ramtekkar, S Lin NPJ Digital Medicine 3 (1), 122, 2020 | 110 | 2020 |
| A systematic literature review on Health Recommender Systems E Sezgin, S Özkan 2013 E-Health and Bioengineering Conference (EHB), 1-4, 2013 | 105 | 2013 |
| A literature review on attitudes of health professionals towards health information systems: from e-Health to m-Health E Sezgin, SÖ Yıldırım Procedia Technology 16, 1317-1326, 2014 | 94 | 2014 |
| Operationalizing and implementing pretrained, large artificial intelligence linguistic models in the US health care system: outlook of generative pretrained transformer 3 (GPT … E Sezgin, J Sirrianni, SL Linwood JMIR medical informatics 10 (2), e32875, 2022 | 89 | 2022 |
| Investigation of physicians' awareness and use of mHealth apps: a mixed method study E Sezgin, S Özkan-Yildirim, S Yildirim Health Policy and Technology 6 (3), 251-267, 2017 | 75 | 2017 |
| Understanding the perception towards using mHealth applications in practice: physicians’ perspective E Sezgin, S Özkan-Yildirim, S Yildirim Information Development 34 (2), 182-200, 2018 | 73 | 2018 |
| Sociotechnical factors affecting patients’ adoption of mobile health tools: systematic literature review and narrative synthesis C Jacob, E Sezgin, A Sanchez-Vazquez, C Ivory JMIR mHealth and uHealth 10 (5), e36284, 2022 | 70 | 2022 |
| A scoping review of patient-facing, behavioral health interventions with voice assistant technology targeting self-management and healthy lifestyle behaviors E Sezgin, LK Militello, Y Huang, S Lin Translational Behavioral Medicine 10 (3), 606-628, 2020 | 66 | 2020 |
| Clinical Advice by Voice Assistants on Postpartum Depression: Cross-Sectional Investigation Using Apple Siri, Amazon Alexa, Google Assistant, and Microsoft Cortana S Yang, J Lee, E Sezgin, J Bridge, S Lin JMIR mHealth and uHealth 9 (1), e24045, 2021 | 49 | 2021 |
| Artificial intelligence in healthcare: Complementing, not replacing, doctors and healthcare providers E Sezgin Digital health 9, 20552076231186520, 2023 | 45 | 2023 |
| A cross-sectional investigation of acceptance of health information technology: A nationwide survey of community pharmacists in Turkey E Sezgin, S Özkan-Yıldırım Research in Social and Administrative Pharmacy 12 (6), 949-965, 2016 | 34 | 2016 |
| Capturing at-home health and care information for children with medical complexity using voice interactive technologies: multi-stakeholder viewpoint E Sezgin, G Noritz, A Elek, K Conkol, S Rust, M Bailey, R Strouse, ... Journal of medical Internet research 22 (2), e14202, 2020 | 29 | 2020 |
| Design and evaluation challenges of conversational agents in health care and well-being: selective review study AB Kocaballi, E Sezgin, L Clark, JM Carroll, Y Huang, J Huh-Yoo, J Kim, ... Journal of medical Internet research 24 (11), e38525, 2022 | 20 | 2022 |
| Introduction to current and emerging mHealth technologies: adoption, implementation, and use E Sezgin Current and emerging mHealth technologies: Adoption, implementation, and use …, 2018 | 20 | 2018 |
| Considerations for conducting bring your own “device”(BYOD) clinical studies C Demanuele, C Lokker, K Jhaveri, P Georgiev, E Sezgin, C Geoghegan, ... Digital biomarkers 6 (2), 47-60, 2022 | 19 | 2022 |
| Clinical accuracy of large language models and Google search responses to postpartum depression questions: cross-sectional study E Sezgin, F Chekeni, J Lee, S Keim Journal of Medical Internet Research 25, e49240, 2023 | 18 | 2023 |
| Proposing an ecosystem of digital health solutions for teens with chronic conditions transitioning to self-management and independence: exploratory qualitative study E Sezgin, M Weiler, A Weiler, S Lin Journal of Medical Internet Research 20 (9), e10285, 2018 | 18 | 2018 |
| Technology-based interventions, assessments, and solutions for safe driving training for adolescents: Rapid review E Sezgin, S Lin JMIR mHealth and uHealth 7 (1), e11942, 2019 | 16 | 2019 |
| Extracting medical information from free-text and unstructured patient-generated health data using natural language processing methods: feasibility study with real-world data E Sezgin, SA Hussain, S Rust, Y Huang JMIR Formative Research 7, e43014, 2023 | 14 | 2023 |
| Medical text prediction and suggestion using generative pretrained transformer models with dental medical notes J Sirrianni, E Sezgin, D Claman, SL Linwood Methods of Information in Medicine 61 (05/06), 195-200, 2022 | 14 | 2022 |
Yungui HuangNationwide Children's Hospital在 nationwidechildrens.org 的电子邮件经过验证
