Emre Sezgın
Health Professions · The Ohio State University
Publications
160
Citations
2,366
Est. group size
~9
Recurring co-author estimate
Active years
16
Publishing since 2011
Emre Sezgın works on digital health technologies, including mobile health apps, conversational agents and chatbots, and the use of large language models (AI systems that generate and understand text) in healthcare settings. Recent work explores how these AI tools can support tasks like clinical documentation, patient self-management, mental health support, and generating synthetic medical data for research while examining usability and ethical considerations. This research spans clinical areas such as pediatrics, emergency care, dentistry, and neurosurgery.
Publication output has grown substantially over the last decade, rising from single digits in 2017-2019 to around 28 publications per year in 2024-2025.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- V3+ extends the V3 framework to ensure user-centricity and scalability of sensor-based digital health technologies
npj Digital Medicine · 2025
- Large language models generating synthetic clinical datasets: a feasibility and comparative analysis with real-world perioperative data
Frontiers in Artificial Intelligence · 2025
- User Engagement with A Multimodal Conversational Agent for Self-Care and Chronic Disease Management: A Retrospective Analysis
Journal of Medical Systems · 2025
- Synthetic neurosurgical data generation with generative adversarial networks and large language models:an investigation on fidelity, utility, and privacy
Neurosurgical FOCUS · 2025
- 24: LOW PREVALENCE OF NEW MENTAL HEALTH VISITS FOLLOWING PICU ADMISSION: A MULTI-INSTITUTION STUDY
Critical Care Medicine · 2025
- Zero-shot generation of synthetic neurosurgical data with large language models
arXiv (Cornell University) · 2025
- Torque Vectoring Control with Gain Scheduling PID During Cornering Maneuvers for Electrical Vehicles
2025
- 53.1 Leveraging Large Language and Vision Language Models in Behavioral Health: Opportunities and Challenges
Journal of the American Academy of Child & Adolescent Psychiatry · 2025
- Attention is all you need? When responsiveness short-circuits responsibility
AI & Society · 2025
- Artificial Intelligence in Dental Education: Opportunities and Challenges of Large Language Models and Multimodal Foundation Models
JMIR Medical Education · 2024
- Economics and Equity of Large Language Models: Health Care Perspective
Journal of Medical Internet Research · 2024
- Human Factors, Human-Centered Design, and Usability of Sensor-Based Digital Health Technologies: Scoping Review
Journal of Medical Internet Research · 2024
- Evaluation of a Digital Scribe: Conversation Summarization for Emergency Department Consultation Calls
Applied Clinical Informatics · 2024
- Era of Generalist Conversational Artificial Intelligence to Support Public Health Communications
Journal of Medical Internet Research · 2024
- Redefining Virtual Assistants in Health Care: The Future With Large Language Models
Journal of Medical Internet Research · 2024
- medRxiv×12
- Journal of Medical Internet Research×9
- JMIR Formative Research×5
- Radiotherapy and Oncology×5
- JMIR Research Protocols×4
- Lisa K. Militello
Health Professions · The Ohio State University
- Yungui Huang
Health Professions · The Ohio State University
- Karen Sowon
Health Professions · Indiana University
- Christine M. Swoboda
Health Professions · The Ohio State University
- Jill Inderstrodt
Health Professions · Indiana University
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 19, 2026.
Claim or correct this profile