Dr. Sezgin’s research interests include implementation of multimodal, intelligent and connected digital health ecosystems for patients and families, improving remote care and patient generated health data, promoting digital equity and inclusion, understanding digital behavior and engagement among patient populations. Dr. Sezgin has experience with using digital health technologies including mobile apps, wearables, sensors, voice technologies and conversational artificial intelligence (AI).
Publications
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Hussain SA, Jackson DI, Thotapalli S, McClellan MB, Stanco M, Varney G, Gleeson S, Nugroho F, Leever W, Fosler-Lussier E, Sezgin E. Socially Grounded Exemplars Improve Synthetic Conversations for Health-Related Social Needs Navigation. medRxiv. 2026 Feb 2;
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Hussain SA, Jackson DI, Lewis A, Fosler-Lussier E, Sezgin E. Toward Trustworthy Chatbots: A Protocol for Red Teaming for Health Related Conversations. medRxiv. 2025 Dec 16;
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Sezgin E, Clarkson E, Logan F, Jackson DI, Hussain SA, Stokes J, Bunger A, Brock G, Fosler-Lussier E, Kemper AR, Pai AL. An AI-Based Chatbot to Support Health-Related Social Needs among Pediatric Primary Care Population: Protocol for a Pilot Randomized Controlled Trial. medRxiv. 2025 Nov 19;
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Griffith MM, Sezgin E, Karkare T, Roche CI, English J, Audino A, Montgomery KE, Saraf AJ, Quinn GP, Housten AJ, Scherer M, Scherer M, Nahata L. Implementing a User-Centered Design to Develop a Web-Based Sperm Banking Decision Tool for Adolescent Males with Cancer. J Adolesc Young Adult Oncol. 2025 Nov 17;
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Sezgin E, Jackson DI, Boch S, Davenport M, Skeens M, Dolce M, Frankin B, Militello LK, Lyman E, Kelleher K. Digital Health Technologies for Screening and Identifying Unmet Social Needs: Scoping Review. J Med Internet Res. 2025 Nov 11; 27: e78793.
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Jackson DI, Wongphothiphan T, Luna J, Maa T, Fristad MA, Huang Y, Schaffner B, Reese J, Wheeler J, Abbott B, Sezgin E. Virtual Reality for Workplace Violence Training of Health Care Workers: Pilot Mixed Methods Usability Study. JMIR Serious Games. 2025 Sep 15; 13: e70817.
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Thotapalli S, Yilanli M, McKay I, Leever W, Youngstrom E, Harvey-Nuckles K, Lowder K, Schweitzer S, Sunderland E, Jackson DI, Sezgin E. Potential of ChatGPT in youth mental health emergency triage: Comparative analysis with clinicians. PCN Rep. 2025 Sep; 4: e70159.
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O'Brien SH, Stanek JR, Adelaja A, Bonny AE, Sezgin E, Chisholm JC, Bala NS, Vesely SK. Sustained Engagement and Usability of a Mobile App to Study Menstrual Cycles in Young Adolescents. J Pediatr Adolesc Gynecol. 2025 Sep 16;
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Moscato EL, Darow E, Quach J, M Winning A, Schmidt M, Wade SL, Gerhardt CA, Sezgin E. Usability Testing of an Internet-Based Responsive Parenting Program for Caregivers of Young Survivors of Childhood Cancer Living in Rural and Appalachian Communities: Mixed Methods Study. JMIR Pediatr Parent. 2025 Aug 5; 8: e70055.
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Barr AA, Guo E, Karmur BS, Sezgin E. Synthetic neurosurgical data generation with generative adversarial networks and large language models:an investigation on fidelity, utility, and privacy. Neurosurg Focus. 2025 Jul 1; 59: E17.
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Abegaz TM, Sezgin E, Bhavnani SK, Donneyong M. Social Determinants of Cost-Related Medication Nonadherence in the All of Us Cohort. medRxiv. 2025 Jun 1;
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Colakoglu S, Durmus M, Polat ZP, Yildiz A, Sezgin E. User Engagement with A Multimodal Conversational Agent for Self-Care and Chronic Disease Management: A Retrospective Analysis. J Med Syst. 2025 Jun 9; 49: 76.
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Kochashvili M, Guttoo P, Sezgin E, Pai A, Bajwa R, Landier W, Gerhardt C, Skeens M. Supporting Medication Adherence in Pediatric Patients Undergoing Hematopoietic Stem Cell Transplant Using the BMT4me mHealth App: Mixed Methods Usability Study. JMIR Cancer. 2025 May 29; 11: e66847.
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Sezgin E, Jackson DI, Kaufman K, Skeens MA, Gerhardt CA, Moscato E. Perceptions about the use of virtual assistants for seeking health information among caregivers of young childhood cancer survivors. Digit Health. 2025 Jan-Dec; 11: 20552076251326160.
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Barr AA, Quan J, Guo E, Sezgin E. Large language models generating synthetic clinical datasets: a feasibility and comparative analysis with real-world perioperative data. Front Artif Intell. 2025; 8: 1533508.
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Bakker JP, Barge R, Centra J, Cobb B, Cota C, Guo CC, Hartog B, Horowicz-Mehler N, Izmailova ES, Manyakov NV, McClenahan S, Motola S, Patel S, Paun O, Schoone M, Sezgin E, Switzer T, Tandon A, van den Brink W, Vairavan S, Vandendriessche B, Vrijens B, Goldsack JC. V3+ extends the V3 framework to ensure user-centricity and scalability of sensor-based digital health technologies. NPJ Digit Med. 2025 Jan 24; 8: 51.
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Sezgin E, Kocaballi AB. Era of Generalist Conversational Artificial Intelligence to Support Public Health Communications. J Med Internet Res. 2025 Jan 20; 27: e69007.
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Sezgin E, Jackson DI, Kocaballi AB, Bibart M, Zupanec S, Landier W, Audino A, Ranalli M, Skeens M. Can Large Language Models Aid Caregivers of Pediatric Cancer Patients in Information Seeking? A Cross-Sectional Investigation. Cancer Med. 2025 Jan; 14: e70554.
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Benhayoun A, Wang M, Beauchemin M, Sezgin E, Skeens MA. Transcreating BMT4me: A protocol for adapting an mobile health medication adherence app for Spanish-speaking caregivers in pediatric hematopoietic stem cell transplant. Digit Health. 2025 Jan-Dec; 11: 20552076241297218.
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Peek MR, Olsavsky AL, Franklin BL, Wisne LM, Sezgin E, Beauchemin MP, Skeens MA. Transcreation and Feasibility of Spanish-Language Pediatric Post-Transplant Adherence App (BMT4me©): Insights from a Community Advisory Board Study. Patient Prefer Adherence. 2025; 19: 3083-3094.
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Nagarajan R, Kondo M, Salas F, Sezgin E, Yao Y, Klotzman V, Godambe SA, Khan N, Limon A, Stephenson G, Taraman S, Walton N, Ehwerhemuepha L, Pandit J, Pandita D, Weiss M, Golden C, Gold A, Henderson J, Shippy A, Celi LA, Hogan WR, Oermann EK, Sanger T, Martel S. Economics and Equity of Large Language Models: Health Care Perspective. J Med Internet Res. 2024 Nov 14; 26: e64226.
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Tandon A, Cobb B, Centra J, Izmailova E, Manyakov NV, McClenahan S, Patel S, Sezgin E, Vairavan S, Vrijens B, Bakker JP, Digital Health Measurement Collaborative Community (DATAcc) hosted by DiMe. Human Factors, Human-Centered Design, and Usability of Sensor-Based Digital Health Technologies: Scoping Review. J Med Internet Res. 2024 Nov 15; 26: e57628.
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Skeens MA, Jackson DI, Sutherland-Foggio MS, Sezgin E. mHealth Apps in the Digital Marketplace for Pediatric Patients With Cancer: Systematic Search and Analysis. JMIR Pediatr Parent. 2024 Oct 1; 7: e58101.
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Skeens MA, Kochashvili M, Benhayoun A, Ralph J, Bajwa R, Vannatta K, Gerhardt CA, Sezgin E. Enhancing medication adherence: A family-centered co-designed mHealth app for children undergoing hematopoietic stem cell transplant. J Pediatr Nurs. 2024 Oct 17;
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Claman D, Sezgin E. Artificial Intelligence in Dental Education: Opportunities and Challenges of Large Language Models and Multimodal Foundation Models. JMIR Med Educ. 2024 Sep 27; 10: e52346.
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Sezgin E, Kocaballi AB, Dolce M, Skeens M, Militello L, Huang Y, Stevens J, Kemper AR. Chatbot for Social Need Screening and Resource Sharing With Vulnerable Families: Iterative Design and Evaluation Study. JMIR Hum Factors. 2024 Jul 19; 11: e57114.
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Sezgin E, McKay I. Behavioral health and generative AI: a perspective on future of therapies and patient care. Npj Ment Health Res. 2024 Jun 7; 3: 25.
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Sezgin E, Sirrianni JW, Kranz K. Evaluation of a Digital Scribe: Conversation Summarization for Emergency Department Consultation Calls. Appl Clin Inform. 2024 May 15;
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Warren S, Claman D, Meyer B, Peng J, Sezgin E. Acceptance of voice assistant technology in dental practice: A cross sectional study with dentists and validation using structural equation modeling. PLOS Digit Health. 2024 May; 3: e0000510.
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Sezgin E. Redefining Virtual Assistants in Health Care: The Future With Large Language Models. J Med Internet Res. 2024 Jan 19; 26: e53225.
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Sezgin E, Sirrianni J, Kranz K. Development and Evaluation of a Digital Scribe: Conversation Summarization Pipeline for Emergency Department Counseling Sessions towards Reducing Documentation Burden. medRxiv. 2023 Dec 7;
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Caulley D, Alemu Y, Burson S, Cárdenas Bautista E, Abebe Tadesse G, Kottmyer C, Aeschbach L, Cheungvivatpant B, Sezgin E. Objectively Quantifying Pediatric Psychiatric Severity Using Artificial Intelligence, Voice Recognition Technology, and Universal Emotions: Pilot Study for Artificial Intelligence-Enabled Innovation to Address Youth Mental Health Crisis. JMIR Res Protoc. 2023 Oct 23; 12: e51912.
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Bala NS, Vesely SK, Bonny AE, Chisholm JC, Sezgin E, Bs CB, McCracken K, O'Brien SH. Mobile Application Measurement of Menstrual Cycle Characteristics and its Association with Dysmenorrhea and Activity Limitation in Early Adolescents. J Pediatr Adolesc Gynecol. 2023 Oct 18;
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Sezgin E, Chekeni F, Lee J, Keim S. Clinical Accuracy of Large Language Models and Google Search Responses to Postpartum Depression Questions: Cross-Sectional Study. J Med Internet Res. 2023 Sep 11; 25: e49240.
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Murnan AW, Tscholl JJ, Ganta R, Duah HO, Qasem I, Sezgin E. Identification of Child Survivors of Sex Trafficking From Electronic Health Records: An Artificial Intelligence Guided Approach. Child Maltreat. 2023 Aug 6; 10775595231194599.
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Alemu Y, Chen H, Duan C, Caulley D, Arriaga RI, Sezgin E. Detecting Clinically Relevant Emotional Distress and Functional Impairment in Children and Adolescents: Protocol for an Automated Speech Analysis Algorithm Development Study. JMIR Res Protoc. 2023 Jun 23; 12: e46970.
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Sezgin E, Hussain SA, Rust S, Huang Y. Extracting Medical Information From Free-Text and Unstructured Patient-Generated Health Data Using Natural Language Processing Methods: Feasibility Study With Real-world Data. JMIR Form Res. 2023 Mar 7; 7: e43014.
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Ralph JE, Sezgin E, Stanek CJ, Landier W, Pai ALH, Gerhardt CA, Skeens MA. Improving medication adherence monitoring and clinical outcomes through mHealth: A randomized controlled trial protocol in pediatric stem cell transplant. PLoS One. 2023; 18: e0289987.
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Sezgin E. Artificial intelligence in healthcare: Complementing, not replacing, doctors and healthcare providers. Digit Health. 2023 Jan-Dec; 9: 20552076231186520.
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Kocaballi AB, Sezgin E, Clark L, Carroll JM, Huang Y, Huh-Yoo J, Kim J, Kocielnik R, Lee YC, Mamykina L, Mitchell EG, Moore RJ, Murali P, Mynatt ED, Park SY, Pasta A, Richards D, Silva LM, Smriti D, Spillane B, Zhang Z, Zubatiy T. Design and Evaluation Challenges of Conversational Agents in Health Care and Well-being: Selective Review Study. J Med Internet Res. 2022 Nov 15; 24: e38525.
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Lieser T, Huang Y, Sezgin E. The Current State of Mobile Apps Owned by Large Pediatric Hospitals in the United States: Systematic Search and Analysis on Google Play and Apple App Stores. JMIR Pediatr Parent. 2022 Oct 6; 5: e38940.
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Boch S, Sezgin E, Lin Linwood S. Ethical artificial intelligence in paediatrics. Lancet Child Adolesc Health. 2022 Sep 6;
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Skeens M, Sezgin E, Stevens J, Landier W, Pai A, Gerhardt C. An mHealth App to Promote Adherence to Immunosuppressant Medication and Track Symptoms in Children After Hematopoietic Stem Cell Transplant: Protocol for a Mixed Methods Usability Study. JMIR Res Protoc. 2022 Jul 21; 11: e39098.
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Sirrianni JW, Sezgin E, Claman D, Linwood SL. Medical text prediction and suggestion using generative pre-trained transformer models with dental medical notes. Methods Inf Med. 2022 Jul 14;
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Lee J, Yang S, Holland-Hall C, Sezgin E, Gill M, Linwood S, Huang Y, Hoffman J. Prevalence of Sensitive Terms in Clinical Notes Using Natural Language Processing Techniques: Observational Study. JMIR Med Inform. 2022 Jun 10; 10: e38482.
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Jacob C, Sezgin E, Sanchez-Vazquez A, Ivory C. Sociotechnical Factors Affecting Patients' Adoption of Mobile Health Tools: Systematic Literature Review and Narrative Synthesis. JMIR Mhealth Uhealth. 2022 May 5; 10: e36284.
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Demanuele C, Lokker C, Jhaveri K, Georgiev P, Sezgin E, Geoghegan C, Zou KH, Izmailova E, McCarthy M. Considerations for Conducting Bring Your Own "Device" (BYOD) Clinical Studies. Digit Biomark. 2022 May-Aug; 6: 47-60.
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Sezgin E, Sirrianni J, Linwood SL. Operationalizing and Implementing Pretrained, Large Artificial Intelligence Linguistic Models in the US Health Care System: Outlook of Generative Pretrained Transformer 3 (GPT-3) as a Service Model. JMIR Med Inform. 2022 Feb 10; 10: e32875.
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Guntu M, Lin ED, Sezgin E, Gregory ME, Huang Y, Linwood SL. Identifying the Factors Influencing Patients' Telehealth Visit Satisfaction: Survey Validation Through a Structural Equation Modeling Approach. Telemed J E Health. 2022 Jan 20;
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Sezgin E, D'Arcy S. Editorial: Voice Technology and Conversational Agents in Health Care Delivery. Front Public Health. 2022; 10: 887492.
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Sezgin E, Oiler B, Abbott B, Noritz G, Huang Y. "Hey Siri, Help Me Take Care of My Child": A Feasibility Study With Caregivers of Children With Special Healthcare Needs Using Voice Interaction and Automatic Speech Recognition in Remote Care Management. Front Public Health. 2022; 10: 849322.
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Lin ED, Guntu M, Sezgin E, McLaughlin L, Ganta R, Lee J, Ramtekkar U, Huang Y, Linwood SL. Rapid Development of a Telehealth Patient Satisfaction Survey Using a Multi-Stakeholder Approach. Telemed J E Health. 2022 Jan 20;
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Sezgin E, Huang Y, Lin D, Ramtekkar U, Pauline L, Lin S. Documented Reasons of Cancellation and Rescheduling of Telehealth Appointments During the Pandemic. Telemed J E Health. 2021 Oct; 27: 1143-1150.
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Boch S, Sezgin E, Ruch D, Kelleher K, Chisolm D, Lin S. Unjust: the health records of youth with personal/family justice involvement in a large pediatric health system. Health Justice. 2021 Aug 1; 9: 20.
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Hussain SA, Sezgin E, Krivchenia K, Luna J, Rust S, Huang Y. A natural language processing pipeline to synthesize patient-generated notes toward improving remote care and chronic disease management: a cystic fibrosis case study. JAMIA Open. 2021 Jul; 4: ooab084.
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Sezgin E, Noritz G, Lin S, Huang Y. Feasibility of a Voice-Enabled Medical Diary App (SpeakHealth) for Caregivers of Children With Special Health Care Needs and Health Care Providers: Mixed Methods Study. JMIR Form Res. 2021 May 11; 5: e25503.
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Militello L, Sezgin E, Huang Y, Lin S. Delivering Perinatal Health Information via a Voice Interactive App (SMILE): Mixed Methods Feasibility Study. JMIR Form Res. 2021 Mar 1; 5: e18240.
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Yang S, Lee J, Sezgin E, Bridge J, Lin S. Clinical Advice by Voice Assistants on Postpartum Depression: Cross-Sectional Investigation Using Apple Siri, Amazon Alexa, Google Assistant, and Microsoft Cortana. JMIR Mhealth Uhealth. 2021 Jan 11; 9: e24045.
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Sezgin E. Can We Use Commercial Mobile Apps Instead of Research Mobile Apps in Healthcare Research? Front Public Health. 2021; 9: 685439.
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