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Emre Sezgin

Showing results (21-30 of 77) with videos related to

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NPJ Digital Medicine|October 5, 2020
Readiness for voice assistants to support healthcare delivery during a health crisis and pandemicEmre Sezgin, Yungui Huang, Ujjwal Ramtekkar, et al.
JMIR Formative Research|March 1, 2021
Delivering Perinatal Health Information via a Voice Interactive App (SMILE): Mixed Methods Feasibility StudyLisa Militello, Emre Sezgin, Yungui Huang, et al.
JMIR Research Protocols|October 14, 2020
A Medical Translation Assistant for Non-English-Speaking Caregivers of Children With Special Health Care Needs: Proposal for a Scalable and Interoperable Mobile AppEmre Sezgin, Garey Noritz, Jeffrey Hoffman, et al.
Frontiers in Artificial Intelligence|February 20, 2025
Large language models generating synthetic clinical datasets: a feasibility and comparative analysis with real-world perioperative dataAustin A Barr, Joshua Quan, Eddie Guo, et al.
JMIR Formative Research|March 7, 2023
Extracting Medical Information From Free-Text and Unstructured Patient-Generated Health Data Using Natural Language Processing Methods: Feasibility Study With Real-world DataEmre Sezgin, Syed-Amad Hussain, Steve Rust, et al.
Methods of Information in Medicine|July 14, 2022
Medical Text Prediction and Suggestion Using Generative Pretrained Transformer Models with Dental Medical NotesJoseph Sirrianni, Emre Sezgin, Daniel Claman, et al.
JMIR Mhealth and Uhealth|March 23, 2022
Sociotechnical Factors Affecting Patients' Adoption of Mobile Health Tools: Systematic Literature Review and Narrative SynthesisChristine Jacob, Emre Sezgin, Antonio Sanchez-Vazquez, et al.
Translational Behavioral Medicine|August 9, 2020
A scoping review of patient-facing, behavioral health interventions with voice assistant technology targeting self-management and healthy lifestyle behaviorsEmre Sezgin, Lisa K Militello, Yungui Huang, et al.
JMIR Mhealth and Uhealth|January 11, 2021
Clinical Advice by Voice Assistants on Postpartum Depression: Cross-Sectional Investigation Using Apple Siri, Amazon Alexa, Google Assistant, and Microsoft CortanaSamuel Yang, Jennifer Lee, Emre Sezgin, et al.
Neurosurgical Focus|July 1, 2025
Synthetic neurosurgical data generation with generative adversarial networks and large language models:an investigation on fidelity, utility, and privacyAustin A Barr, Eddie Guo, Brij S Karmur, et al.
Pageof 8

Showing results (21-30 of 77) with videos related to

Sort By:
Pageof 8
NPJ Digital Medicine|October 5, 2020
Readiness for voice assistants to support healthcare delivery during a health crisis and pandemicEmre Sezgin, Yungui Huang, Ujjwal Ramtekkar, et al.
JMIR Formative Research|March 1, 2021
Delivering Perinatal Health Information via a Voice Interactive App (SMILE): Mixed Methods Feasibility StudyLisa Militello, Emre Sezgin, Yungui Huang, et al.
JMIR Research Protocols|October 14, 2020
A Medical Translation Assistant for Non-English-Speaking Caregivers of Children With Special Health Care Needs: Proposal for a Scalable and Interoperable Mobile AppEmre Sezgin, Garey Noritz, Jeffrey Hoffman, et al.
Frontiers in Artificial Intelligence|February 20, 2025
Large language models generating synthetic clinical datasets: a feasibility and comparative analysis with real-world perioperative dataAustin A Barr, Joshua Quan, Eddie Guo, et al.
JMIR Formative Research|March 7, 2023
Extracting Medical Information From Free-Text and Unstructured Patient-Generated Health Data Using Natural Language Processing Methods: Feasibility Study With Real-world DataEmre Sezgin, Syed-Amad Hussain, Steve Rust, et al.
Methods of Information in Medicine|July 14, 2022
Medical Text Prediction and Suggestion Using Generative Pretrained Transformer Models with Dental Medical NotesJoseph Sirrianni, Emre Sezgin, Daniel Claman, et al.
JMIR Mhealth and Uhealth|March 23, 2022
Sociotechnical Factors Affecting Patients' Adoption of Mobile Health Tools: Systematic Literature Review and Narrative SynthesisChristine Jacob, Emre Sezgin, Antonio Sanchez-Vazquez, et al.
Translational Behavioral Medicine|August 9, 2020
A scoping review of patient-facing, behavioral health interventions with voice assistant technology targeting self-management and healthy lifestyle behaviorsEmre Sezgin, Lisa K Militello, Yungui Huang, et al.
JMIR Mhealth and Uhealth|January 11, 2021
Clinical Advice by Voice Assistants on Postpartum Depression: Cross-Sectional Investigation Using Apple Siri, Amazon Alexa, Google Assistant, and Microsoft CortanaSamuel Yang, Jennifer Lee, Emre Sezgin, et al.
Neurosurgical Focus|July 1, 2025
Synthetic neurosurgical data generation with generative adversarial networks and large language models:an investigation on fidelity, utility, and privacyAustin A Barr, Eddie Guo, Brij S Karmur, et al.
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