Nanda, S., Abaza, K., Kyaw, P. H., Frankel, R., Sardar, P., Parikh, S. A., Shyam, T., & Chatterjee, S. (2025). Evaluating the Ability of Artificial Intelligence to Address Nuanced Cardiology Subspecialty Questions: ChatGPT and CathSAP. Journal of the Society for Cardiovascular Angiography & Interventions, 4(3), 102563. https://doi.org/10.1016/j.jscai.2025.102563

Biber, S. A., Prado, M. G., Culhane, J. E., Phuong, J., Keller, B., Lerch, M., Wang, S., Noble, J. M., Moulder, K. L., Saykin, A. J., Gao, S., Lai, A., Natarajan, K., Kukull, W. A., Mooney, S., & Stephens, K. (2024). Advancing Alzheimer’s disease and related dementias (ADRD) and COVID‐19 research by linking real‐world data with a standardized longitudinal ADRD data platform. Alzheimer’s & Dementia, 20(S8). Portico. https://doi.org/10.1002/alz.094785

Ma, J., Yoon, J. H., Lu, L., Yang, H., Guo, P., Yang, D., Li, J., Shen, J., Schwartz, L. H., & Zhao, B. (2024). A quantitative analysis of the improvement provided by comprehensive annotation on CT lesion detection using deep learning. Journal of Applied Clinical Medical Physics. Portico. https://doi.org/10.1002/acm2.14434

Sathe, T. S., Roshal, J., Naaseh, A., L’Huillier, J. C., Navarro, S. M., & Silvestri, C. (2024). How I GPT It: Development of Custom Artificial Intelligence (AI) Chatbots for Surgical Education. Journal of Surgical Education, 81(6), 772–775. https://doi.org/10.1016/j.jsurg.2024.03.004

Liu, Y., Hsu, H. Y., Lin, T., Peng, B., Saqi, A., Salvatore, M. M., & Jambawalikar, S. (2024). Lung nodule malignancy classification with associated pulmonary fibrosis using 3D attention-gated convolutional network with CT scans. Journal of Translational Medicine, 22(1). https://doi.org/10.1186/s12967-023-04798-w

Ramlall, V., Gisladottir, U., Kefeli, J., Tanaka, Y., May, B., & Tatonetti, N. (2023). Using machine learning probabilities to identify effects of COVID-19. Patterns, 4(12), 100889. https://doi.org/10.1016/j.patter.2023.100889

Guzman, N. A., & Guzman, D. E. (2023). A COVID-19 Infection with Positive Sputum and Negative Nasopharyngeal/Oropharyngeal Rapid Antigen-Based Testing: A Case Report and Pilot Study. Medical & Clinical Case Reports Journal, 1(2), 77–84. https://doi.org/10.51219/mccrj/norberto-a-guzman/22

Wadhwa, S., Dave, S., Daily, M. L., Nardone, A., Li, R., Rosario, J., Cantos, A., Shah, J., Lu, H. H., McMahon, D. J., & Yin, M. T. (2022). The Role of Oral Health in the Acquisition and Severity of SARS-CoV-2: A Retrospective Chart Review. The Saudi Dental Journal, 34(7), 596–603. https://doi.org/10.1016/j.sdentj.2022.08.001

Reading Turchioe, M., Ahmed, R., Masterson Creber, R., Axsom, K., Horn, E., Sayer, G., Uriel, N., Stein, K., & Slotwiner, D. (2022). Detecting early physiologic changes through cardiac implantable electronic device data among patients with COVID-19. Cardiovascular Digital Health Journal, 3(5), 247–255. https://doi.org/10.1016/j.cvdhj.2022.07.070

Abramov, A., Fuller, J., Su, I., Flatley, M., Abrams, D., Stanifer, B. P., Agerstrand, C., Brodie, D., Sonett, J., Azizi, E., & Lemaitre, P. (2022). P94: COVID-19-related ARDS Supported with Extracorporeal Membrane Oxygenation: Using Machine Learning Models to Improve Care. ASAIO Journal, 68(Supplement 2), 146–146. https://doi.org/10.1097/01.mat.0000841592.03089.c7

Kostka, K., Duarte-Salles, T., Prats-Uribe, A., Sena, A. G., Pistillo, A., Khalid, S., Lai, L. Y., Golozar, A., Alshammari, T. M., Dawoud, D. M., Nyberg, F., Wilcox, A. B., Andryc, A., Williams, A., Ostropolets, A., Areia, C., Jung, C. Y., Harle, C. A., Reich, C. G., … Prieto-Alhambra, D. (2022). Unraveling COVID-19: A Large-Scale Characterization of 4.5 Million COVID-19 Cases Using CHARYBDIS. Clinical Epidemiology, Volume 14, 369–384. https://doi.org/10.2147/clep.s323292