Zhang, Z., Nezhad, M. J. M., Hosseini, S. M. B., Zolnour, A., Zonour, Z., Hosseini, S. M., Topaz, M., & Zolnoori, M. (2025). A Scoping Review of Large Language Model Applications in Healthcare. MEDINFO 2025 — Healthcare Smart × Medicine Deep. https://doi.org/10.3233/shti251302

Fijačko, N., Svenšek, A., Gosak, L., Woo, B. F. Y., Song, J., Kohek, Š., & Štiglic, G. (2025). Do Nursing Students Write More Polite Health Related Prompts in Chatbots Compared to Engineering Students? MEDINFO 2025 — Healthcare Smart × Medicine Deep. https://doi.org/10.3233/shti251224

Hosseini, S. M. B., Momeni Nezhad, M. J., Hosseini, M., & Zolnoori, M. (2025). Optimizing Entity Recognition in Psychiatric Treatment Data with Large Language Models. MEDINFO 2025 — Healthcare Smart × Medicine Deep. https://doi.org/10.3233/shti250947

Zhang, Z., Nezhad, M. J. M., Gupta, P., Topaz, M., & Zolnoori, M. (2025). Performance of LLMs in Citation Screening: A Comparison Across Datasets with Varied Inclusion Rates. MEDINFO 2025 — Healthcare Smart × Medicine Deep. https://doi.org/10.3233/shti251264

Azadmaleki, H., Haghbin, Y., Rashidi, S., Momeni Nezhad, M. J., Naserian, M., Esmaeili, E., Zolnour, A., & Zolnoori, M. (2025). SpeechCARE: Harnessing Multimodal Innovation to Transform Cognitive Impairment Detection – Insights from the National Institute on Aging Alzheimer’s Speech Challenge. MEDINFO 2025 — Healthcare Smart × Medicine Deep. https://doi.org/10.3233/shti251249

Rashidi, S., Azadmaleki, H., Zolnour, A., Momeni Nezhad, M. J., & Zolnoori, M. (2025). SpeechCura: A Novel Speech Augmentation Framework to Tackle Data Scarcity in Healthcare. MEDINFO 2025 — Healthcare Smart × Medicine Deep. https://doi.org/10.3233/shti251250

Lee, R. Y., Cato, K. D., Dykes, P. C., Lowenthal, G., Tuteja, S., & Rossetti, S. C. (2025). Understanding Clinicians’ Usage Patterns of the CONCERN Early Warning System: Insights from a Multi-Site Pragmatic Cluster Randomized Controlled Trial. MEDINFO 2025 — Healthcare Smart × Medicine Deep. https://doi.org/10.3233/shti251040

Woo, K., Min, S. H., Kim, A., Choi, S., Alexander, G. L., O’Malley, T. A., Moen, M. D., & Topaz, M. (2025). Understanding Gender-Specific Daily Care Preferences for Person-Centered Care: A Topic Modeling Study. MEDINFO 2025 — Healthcare Smart × Medicine Deep. https://doi.org/10.3233/shti251335

Schnall, R., Paredes, C., Kuhns, L. M., Radix, A., & Garofalo, R. (2025). Usability Evaluation of the MyPEEPS Plus Mobile App for PrEP Uptake. MEDINFO 2025 — Healthcare Smart × Medicine Deep. https://doi.org/10.3233/shti251051

Xu, Z., Vergez, S., Esmaeili, E., Zolnour, A., Briggs, K. A., Scroggins, J. K., Hosseini Ebrahimabad, S. F., Noble, J. M., Topaz, M., Bakken, S., Bowles, K. H., Spens, I., Onorato, N., Sridharan, S., McDonald, M. V., & Zolnoori, M. (2025). Voice for All: Evaluating the Accuracy and Equity of Automatic Speech Recognition Systems in Transcribing Patient Communications in Home Healthcare. MEDINFO 2025 — Healthcare Smart × Medicine Deep. https://doi.org/10.3233/shti251273

Dos Santos, F., Batey, D. S., & Schnall, R. (2025). Evaluating the Usability of a Mobile Health Technology to Enhance Medication Adherence in People with HIV. Intelligent Health Systems – From Technology to Data and Knowledge. https://doi.org/10.3233/shti250529

Ta, C. N., Liu, C., & Weng, C. (2025). Identifying Phenotypes for Earlier Diagnosis of Rare Diseases. Intelligent Health Systems – From Technology to Data and Knowledge. https://doi.org/10.3233/shti250286

Yoon, S., Sun, F., Patterson, M., Crupi, R., Broadwell, P., Pottinger, T., Kim, M., & Davis, N. (2025). Applying Data Mining to Predict Perceived Benefits Risks of Robotics at Home for Dementia Caregiving Among African American Families. Envisioning the Future of Health Informatics and Digital Health. https://doi.org/10.3233/shti250049

Yoon, S., Crupi, R., Sun, F., Tipiani, D., Patterson, M., Pottinger, T., Kim, M., & Davis, N. (2025). Comparing Emotional Valence from Human Quantitative Ratings and Qualitative Narrative Data on Using Artificial Intelligence to Reduce Caregiving Disparity. Envisioning the Future of Health Informatics and Digital Health. https://doi.org/10.3233/shti250036

Yoon, S., Sun, F., Broadwell, P., Crupi, R., Patterson, M., Pottinger, T. D., Kim, M., & Davis, N. (2025). Using C4.5 Algorithm to Gain Insights on Stakeholder Engagement and Use of Artificial Intelligence on Social Media in Dementia Caregiving Disparity Research. Envisioning the Future of Health Informatics and Digital Health. https://doi.org/10.3233/shti250055

Schnall, R., Halpern, M., Olaya, F., Ramirez, S. O., & Caraballo, P. B. (2024). Development and Testing of the WiseApp for Improving Medication Adherence Among Spanish Speakers. Digital Health and Informatics Innovations for Sustainable Health Care Systems. https://doi.org/10.3233/shti240397

Landau, A. Y., Blanchard, A., Kulkarni, P., Althobaiti, S., Idnay, B., Patton, D. U., Cato, K., & Topaz, M. (2024). Harnessing the Power of Machine Learning and Electronic Health Records to Support Child Abuse and Neglect Identification in Emergency Department Settings. Digital Health and Informatics Innovations for Sustainable Health Care Systems. https://doi.org/10.3233/shti240740

Odlum, M., Moon, S., Broadwell, P., Huang, N., Sun, F., Tipani, D., Davis, N., Kim, M., & Yoon, S. (2024). Using Natural Language Processing on Expert Panel Discussions to Gain Insights for Recruitment, Retention and Intervention Adherence for Online Social Support Interventions on a Stage II-III Clinical Trial Among Hispanic and African American Dementia Care. Digital Health and Informatics Innovations for Sustainable Health Care Systems. https://doi.org/10.3233/shti240405

Reading Turchioe, M., Pepingco, C., Lytle, K., & Austin, R. (2024). Nurses’ Roles in Artificial Intelligence Implementation: Results from a Mixed-Methods Study. Innovation in Applied Nursing Informatics. https://doi.org/10.3233/shti240140

Sun, C., & Burke, C. (2024). Revolutionizing Patient Surveillance in Assisted Living Facilities: Insights from AUGi Technology Implementation. Innovation in Applied Nursing Informatics. https://doi.org/10.3233/shti240274

Hobensack, M., Scharp, D., Song, J., & Topaz, M. (2024). Social Determinants Documented Across Individuals from Different Racial and Ethnic Groups in Home Healthcare. Innovation in Applied Nursing Informatics. https://doi.org/10.3233/shti240303

Dos Santos, F., Garofalo, R., Kuhns, L., Wood, O., Scherr, T., & Schnall, R. (2024). Usability of a Mobile Health Technology for HIV Testing Among Sexual Minorities. Innovation in Applied Nursing Informatics. https://doi.org/10.3233/shti240309

Ostropolets, A., Talapova, P., De Wilde, M., Abedtash, H., Rijnbeek, P., & Reich, C. G. (2024). A High-Fidelity Combined ATC-Rxnorm Drug Hierarchy for Large-Scale Observational Research. MEDINFO 2023 — The Future Is Accessible. https://doi.org/10.3233/shti230926

Hobensack, M., Withall, J., Cato, K., Dykes, P., Lowenthal, G., Cho, S., Ivory, C., Yen, P.-Y., & Rossetti, S. (2024). Understanding the Technical Implementation of a Clinical Decision Support SmartApp: A Qualitative Analysis. MEDINFO 2023 — The Future Is Accessible. https://doi.org/10.3233/shti231205

Broadwell, P., Huang, N., Moon, S., Tipiani, D., De Planell-Saguer, M., Bristol, A., Liu, J., Davis, N., & Yoon, S. (2023). Analyzing Twitter-Based Social Networks of Support Communities for Hispanic and African American Family Caregivers of Persons with Dementia. Healthcare Transformation with Informatics and Artificial Intelligence. https://doi.org/10.3233/shti230450

Yoon, S., Broadwell, P., Sun, F. F., De Planell-Saguer, M., & Davis, N. (2023). Application of Topic Modeling on Artificial Intelligence Studies as a Foundation to Develop Ethical Guidelines in African American Dementia Caregiving. Healthcare Transformation with Informatics and Artificial Intelligence. https://doi.org/10.3233/shti230553

Yoon, S., Broadwell, P., Tipiani, D., Bristol, A., Moon, S., Yoon, B., Liu, J., Huang, N., & Davis, N. (2023). Comparing Emotional Valence Scores of Twitter Messages from Human Coding and Machine Learning Algorithms Among Hispanic and African American Family Caregivers of Persons with Dementia. Healthcare Transformation with Informatics and Artificial Intelligence. https://doi.org/10.3233/shti230526

Liu, H., Peng, Y., & Weng, C. (2023). How Good Is ChatGPT for Medication Evidence Synthesis? Caring Is Sharing – Exploiting the Value in Data for Health and Innovation. https://doi.org/10.3233/shti230347

Schnall, R., Ramirez, S. O., Padilla, J. J., Halpern, M., Olender, S., & Baez, P. (2023). Expert Feedback on the Adaptation and Translation of Spanish Version of WiseApp. Caring Is Sharing – Exploiting the Value in Data for Health and Innovation. https://doi.org/10.3233/shti230190

Borycki, E. M., Kushniruk, A. W., Oluka, H., Minshall, S., Cato, K., Senathirajah, Y., & Kaufman, D. (2023). Modelling Information Needs and Sources in a COVID-19 Designated Hospital. Caring Is Sharing – Exploiting the Value in Data for Health and Innovation. https://doi.org/10.3233/shti230294

Yoon, S., Mendes, A., Burgio, L., Mittelman, M., Dunner, I., Levine, J. A., Hoyos, C., Tipiani, D., Ramirez, M., Teresi, J. A., & Luchsinger, J. A. (2022). Application of Machine Learning Techniques to Examine Social Service Needs Among Hispanic Family Caregivers of Persons with Dementia. Advances in Informatics, Management and Technology in Healthcare. https://doi.org/10.3233/shti220776

Yoon, S., Broadwell, P., Alcantara, C., Davis, N., Sun, F. F., de Planell Saguer, M. D., Nho, J. Y., & Mittelman, M. (2022). Applying Participatory Design Mixed-Methods Approaches to Refine Twitter-Based Social Support Interventions for African Americans and Hispanic Family Caregivers of Persons with Dementia. Advances in Informatics, Management and Technology in Healthcare. https://doi.org/10.3233/shti220728

Yoon, S., Broadwell, P., Sun, F. F., Jang, S. J., & Lee, H. (2022). Comparing Emotional Valence Scores of Twitter Posts from Manual Coding and Machine Learning Algorithms to Gain Insights to Refine Interventions for Family Caregivers of Persons with Dementia. Advances in Informatics, Management and Technology in Healthcare. https://doi.org/10.3233/shti220710

Lee, H., Jang, S. J., Sun, F. F., Broadwell, P., & Yoon, S. (2022). Comparing Themes Extracted via Topic Modeling and Manual Content Analysis: Korean-Language Discussions of Dementia on Twitter. Advances in Informatics, Management and Technology in Healthcare. https://doi.org/10.3233/shti220704

Lin, F., Liu, H., Moon, P., & Weng, C. (2022). A Sample Size Extractor for RCT Reports. MEDINFO 2021: One World, One Health – Global Partnership for Digital Innovation. https://doi.org/10.3233/shti220151

Turfah, A., Liu, H., Stewart, L. A., Kang, T., & Weng, C. (2022). Extending PICO with Observation Normalization for Evidence Computing. MEDINFO 2021: One World, One Health – Global Partnership for Digital Innovation. https://doi.org/10.3233/shti220076

Spotnitz, M., Patterson, J., Huser, V., Weng, C., & Natarajan, K. (2022). Harmonization of Measurement Codes for Concept-Oriented Lab Data Retrieval. MEDINFO 2021: One World, One Health – Global Partnership for Digital Innovation. https://doi.org/10.3233/shti220022

Sun, Y., Tang, J., Butler, A., Liu, C., Fang, Y., & Weng, C. (2022). Interactive Similarity-Based Search of Clinical Trials. MEDINFO 2021: One World, One Health – Global Partnership for Digital Innovation. https://doi.org/10.3233/shti220085

Chen, Z., Liu, H., Liao, S., Bernard, M., Kang, T., Stewart, L. A., & Weng, C. (2022). Representation and Normalization of Complex Interventions for Evidence Computing. MEDINFO 2021: One World, One Health – Global Partnership for Digital Innovation. https://doi.org/10.3233/shti220146

Yoon, S., Broadwell, P., Alcantara, C., Davis, N., Lee, H., Bristol, A., Tipiani, D., Nho, J. Y., & Mittelman, M. (2022). Analyzing Topics and Sentiments from Twitter to Gain Insights to Refine Interventions for Family Caregivers of Persons with Alzheimer’s Disease and Related Dementias (ADRD) During COVID-19 Pandemic. Informatics and Technology in Clinical Care and Public Health. https://doi.org/10.3233/shti210886

Senathirajah, Y., Cho, H., Fawcett, J., Mondejar, K. M., Cato, K., Broadwell, P., & Yoon, S. (2022). Application of Natural Language Processing to Learn Insights on the Clinician’s Lived Experience of Electronic Health Records. Informatics and Technology in Clinical Care and Public Health. https://doi.org/10.3233/shti210864

Yoon, S., Alcantara, C., Davis, N., Broadwell, P., Lee, H., Bristol, A., Tipiani, D., Nho, J. Y., & Mittelman, M. (2022). Applying Social Network Analysis to Compare Dementia Caregiving Networks on Twitter in Hispanic and Black Communities. Informatics and Technology in Clinical Care and Public Health. https://doi.org/10.3233/shti210902

Broadwell, P., Davis, N., & Yoon, S. (2022). Using Artificial Intelligence to Develop a Lexicon-Based African American Tweet Detection Algorithm to Inform Culturally Sensitive Twitter-Based Social Support Interventions for African American Dementia Caregivers. Informatics and Technology in Clinical Care and Public Health. https://doi.org/10.3233/shti210844

Lozada-Perezmitre, E., Landeros-Olvera, E., Galicia-Aguilar, R. M., Peltonen, L.-M., Nibber, R., Lewis, A., Block, L., Pruinelli, L., Ronquillo, C., & Topaz, M. (2021). Description of the Process to Validate the Mexican Nurse Informatics Competency Self-Assessment Scale. Nurses and Midwives in the Digital Age. https://doi.org/10.3233/shti210693

Hobensack, M., Ojo, M., Bowles, K., McDonald, M., Song, J., & Topaz, M. (2021). Home Healthcare Clinicians’ Perspectives on Electronic Health Records: A Qualitative Study. Nurses and Midwives in the Digital Age. https://doi.org/10.3233/shti210763

Chae, S., Song, J., Ojo, M., & Topaz, M. (2021). Identifying Heart Failure Symptoms and Poor Self-Management in Home Healthcare: A Natural Language Processing Study. Nurses and Midwives in the Digital Age. https://doi.org/10.3233/shti210653

Mitha, S., Schwartz, J., Cato, K., Woo, K., Smaldone, A., & Topaz, M. (2021). Natural Language Processing of Nursing Notes: A Systematic Review. Nurses and Midwives in the Digital Age. https://doi.org/10.3233/shti210666

Peltonen, L.-M., Nibber, R., Block, L., Ronquillo, C., Lozada Perezmitre, E., Lewis, A., Alhuwail, D., Ali, S., Georgsson, M., Jeon, E., Tayaben, J. L., Lee, Y.-L., Kuo, C.-H., Shu, S.-H., Hsu, H., Sommer, J., Sarmiento, R. F. R., Jung, H., Eler, G. J., … Pruinelli, L. (2021). Nursing Informatics Research Trends: Findings from an International Survey. Nurses and Midwives in the Digital Age. https://doi.org/10.3233/shti210741

Peltonen, L.-M., Pruinelli, L., Lewis, A., Block, L., Topaz, M., von Gerich, H., & Ronquillo, C. (2021). Will Artificial Intelligence Replace Nurses? A Debate. Nurses and Midwives in the Digital Age. https://doi.org/10.3233/shti210740