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Emre Sezgin
Emre Sezgin
Intelligent Futures Research Lab. Nationwide Children’s | Assist. Prof. @ Ohio State University
Email verificata su nationwidechildrens.org - Home page
Titolo
Citata da
Citata da
Anno
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
1332020
Artificial intelligence in healthcare: Complementing, not replacing, doctors and healthcare providers
E Sezgin
Digital health 9, 20552076231186520, 2023
1232023
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
1152022
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
1072022
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
1072014
A systematic literature review on Health Recommender Systems
E Sezgin, S Özkan
2013 E-Health and Bioengineering Conference (EHB), 1-4, 2013
1072013
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
872017
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
812018
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
782020
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
602021
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
392023
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
392016
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
362023
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
352020
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
272022
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
272022
Introduction to current and emerging mHealth technologies: adoption, implementation, and use
E Sezgin
Current and emerging mHealth technologies: Adoption, implementation, and use …, 2018
222018
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
212022
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
212018
Potential of Large Language Models in Health Care: Delphi Study
K Denecke, R May, LLMHealthGroup, O Rivera Romero
Journal of Medical Internet Research 26, e52399, 2024
202024
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