| Leveraging Large Language Models (LLMs) to create a chatbot assistant for the retrieval of medication information B Tam, SI Chng, J Quiroz Aguilera, R Agarwal, G Brat, GG Gao, ... Conference on Health IT and Analytics, 5-5, 2024 | | 2024 |
| Augmenting physicians with artificial intelligence to transform healthcare: Challenges and opportunities R Agarwal, M Dugas, G Gao Journal of Economics & Management Strategy 33 (2), 360-374, 2024 | 3 | 2024 |
| Toward an “equitable” assimilation of artificial intelligence and machine learning into our health care system R Agarwal, G Gao NC Med J 85 (4), 246-250, 2024 | 1 | 2024 |
| Predicting Heterogeneity in Patient Response to Morphine Treatment for Neonatal Opioid Withdrawal Syndrome D Smolyak, EM Humphries, A Parikh, M Gopalakrishnan, F Aycan, ... Clinical Pharmacology & Therapeutics 114 (5), 1015-1022, 2023 | | 2023 |
| The Value of Virtual Engagement: Evidence from a Running Platform CW Liu, W Wang, G Gao, R Agarwal Management Science, 2023 | 3 | 2023 |
| Friend or foe? Teaming between artificial intelligence and workers with variation in experience W Wang, G Gao, R Agarwal Management Science, 2023 | 19 | 2023 |
| The local environment matters: Evidence from digital healthcare services for patient engagement R Aljafari, F Soh, P Setia, R Agarwal Journal of the Academy of Marketing Science, 1-23, 2023 | 3 | 2023 |
| Echoes of biases: how stigmatizing language affects AI performance Y Liu, W Wang, GG Gao, R Agarwal arXiv preprint arXiv:2305.10201, 2023 | 2 | 2023 |
| Data Science for Health Equity: Perils and Promise of AI/ML in Healthcare R Agarwal, M Bjarnadottir, J Clark, L Rhue, GG Gao ML in Healthcare (April 24, 2023), 2023 | 1 | 2023 |
| Catch me if you can: Identifying fraudulent physician reviews with large language models using generative pre-trained transformers AD Shukla, L Agarwal, J Mein, R Agarwal arXiv preprint arXiv:2304.09948, 2023 | 4 | 2023 |
| Addressing algorithmic bias and the perpetuation of health inequities: An AI bias aware framework R Agarwal, M Bjarnadottir, L Rhue, M Dugas, K Crowley, J Clark, G Gao Health Policy and Technology 12 (1), 100702, 2023 | 45 | 2023 |
| Continue the Conversation: Federal Health Responsible & Trustworthy AI: From Principles to Practice K Crowley, R Agarwal, T Hoppe 2023 Health Datapalooza, 2023 | | 2023 |
| The Impact of Stigmatizing Language in EHR Notes on AI Performance and Fairness Y Liu, W Wang, G Gao, R Agarwal | | 2023 |
| People Talking and AI Listening: How Stigmatizing Language in EHR Notes Affect AI Performance. Y Liu, W Wang, Guodong (Gordon) Gao, R Agarwal arXiv preprint arXiv: 230510201, 2023 | 1 | 2023 |
| Aiding the prescriber: developing a machine learning approach to personalized risk modeling for chronic opioid therapy amongst US Army soldiers MV Bjarnadóttir, DB Anderson, R Agarwal, DA Nelson Health Care Management Science 25 (4), 649-665, 2022 | 4 | 2022 |
| Recency of online physician ratings W Wang, J Luo, M Dugas, GG Gao, R Agarwal, RM Werner JAMA Internal Medicine 182 (8), 881-883, 2022 | 2 | 2022 |
| Market segmentation of South African adolescent girls and young women to inform HIV prevention product marketing strategy: A mixed methods study K Crowley, M Dugas, G Gao, L Burn, K Igumbor, D Njapha, J Piper, ... Health Marketing Quarterly 39 (2), 159-172, 2022 | 5 | 2022 |
| Reciprocity or Self-Interest? Leveraging Digital Social Connections for Healthy Behavior. CW Liu, GG Gao, R Agarwal MIS Quarterly 46 (1), 2022 | 13 | 2022 |
| Consumer journeys of adolescent girls and young women in South Africa: Implications for marketing HIV prevention products M Dugas, K Crowley, G Gao, L McHarry, L Kenmuir, J Piper, F Veronese, ... Social Marketing Quarterly 27 (3), 230-248, 2021 | 1 | 2021 |
| Socioeconomic privilege and political ideology are associated with racial disparity in COVID-19 vaccination R Agarwal, M Dugas, J Ramaprasad, J Luo, G Li, G Gao Proceedings of the National Academy of Sciences 118 (33), e2107873118, 2021 | 141 | 2021 |
