Publications

You can also find my articles on my Google Scholar profile.

2026

Wang S, Xu Z, Najjuuko C, Wu Y, Alba C, Lu C. CURA: Clinical Uncertainty Risk Alignment for Language Model–Based Risk Prediction. Proceedings of the Annual Meeting of the Association for Computational Linguistics (ACL) 2026 (Main Conference). 2026

Holzer KJ, Alaverdyan H, Xu Z, Frumkin MR, Frey KA, Gregory SH, Rodebaugh TL, Lu C, King CR, Head D, Kannampallil T, Haroutounian S. Protocol for Personalised Prediction of Persistent Postsurgical Pain. BMJ Open. 2026

Zhang J, Wang R, Xu Z, Liu H, Rodriguez J, Cos H, Srivastava R, Raper L, Sanford D, Hammill C, Lu C. Addressing Cohort Variability with Adaptive Fusion of Wearable and Clinical Data: A Case Study in Predicting Pancreatic Surgery Outcomes. ACM Transactions on Computing for Healthcare. 2026

Frumkin MR, Messner GR, Holzer KJ, Xu Z, Rodebaugh TL, Bernstein H, Frey K, Lu C, Haroutounian S. Remote perioperative symptom monitoring via smartphone is feasible: Evidence from the Personalized Prediction of Persistent Postsurgical Pain (P5) study. British Journal of Anaesthesia. 2026

2025

Xu Z, Zhang J, Haroutounian S, Liu H, Cao Z, Messner GR, Alaverdyan HB, Ahuja S, Koshy R, Hanns J, Frumkin M, Rodebaugh TL, Lu C. Incorporating Uncertainty in Predictive Models Using Mobile Sensing and Clinical Data: A Case Study on Persistent Post-surgical Pain. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT). 2025. doi:10.1145/3729488

Najjuuko C, Xu Z, Kizito S, Lu C, Ssewamala FM. Patterns of maternal and child health services utilization and associated socioeconomic disparities in sub-Saharan Africa. Nature Communications. 2025. doi:10.1038/s41467-025-61350-8

Warner BC, Xu Z, Haroutounian S, Kannampallil T, Lu C. Utilizing Semantic Textual Similarity for Clinical Survey Data Feature Selection. Findings of the Association for Computational Linguistics: ACL 2025. 2025. doi:10.18653/v1/2025.findings-acl.27

Najjuuko C, Xu Z, Kizito S, Lu C, Ssewamala FM. Using machine learning to predict poor adherence to antiretroviral therapy among adolescents living with HIV in low resource settings. AIDS. 2025

Frumkin MR, Zhang J, Xu Z, Yakdan S, Benedict B, Javeed S, Zhang J, Botterbush K, Goodin BR, Lu C, Ray WZ, Greenberg JK. Rethinking measurement of movement-evoked pain with digital technology. The Journal of Pain. 2025

Yakdan S, Zhang J, Benedict B, Xu Z, Javeed S, Zhang JK, Steel BA, Gupta VP, Botterbush K, Piccirillo JF, Rodebaugh TL, Goodin BR, Buchowski JM, Neuman B, Hafez D, Kelly M, Ray WZ, Lu C, Frumkin M, Greenberg JK. Multidomain postoperative recovery trajectories after lumbar and thoracolumbar spine surgery. The Spine Journal. 2025

Bhan R, Yakdan S, Diaz C, Zhang J, Xu Z, Joseph K, Plog B, Yahanda AT, Zhang JK, Javeed S, Ray WZ, Gupta M, Lu C, Kelly MP, Greenberg JK, Neuman B. Association between preoperative activity levels and postoperative complications in adult spinal deformity surgery. Spine Deformity. 2025

Yakdan S, Zhang J, Botterbush K, Kaleem MI, Benedict B, Xu Z, Frumkin M, Javeed S, Zhang JK, Ogunlade J, Lu C, Neuman B, Steinmetz M, Ray WZ, Gupta M, Greenberg JK. Sleep Physiology in Spine Disease: A Comparative Study of Cervical and Lumbar Patients. Clinical Spine Surgery. 2025

2024

Xu Z, Zhang J, Greenberg JK, Frumkin M, Javeed S, Zhang J, Benedict B, Botterbush K, Rodebaugh TL, Ray WZ, Lu C. Predicting Multi-dimensional Surgical Outcomes with Multi-modal Mobile Sensing: A Case Study with Patients Undergoing Lumbar Spine Surgery. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT). 2024. doi:10.1145/3659628

Vivek Prakash Gupta*, Xu Z* (equal contribution), Jacob K. Greenberg, Jennifer Mae Strahle, Gabriel Haller, Thanda Meehan, Ashley Roberts, David D. Limbrick Jr., Chenyang Lu. Using Artificial Intelligence to Identify Three Presenting Phenotypes of Chiari Type-1 Malformation and Syringomyelia. Neurosurgery. 2024. doi:10.1227/neu.0000000000003249

Jacob K. Greenberg*, Madelyn Frumkin*, Xu Z* (equal contribution), Jingwen Zhang, Saad Javeed, Justin K. Zhang, Braeden Benedict, Kathleen Botterbush, Salim Yakdan, Camilo A. Molina, Brenton H. Pennicooke, Daniel Hafez, John I. Ogunlade, Nicholas Pallotta, Munish C. Gupta, Jacob M. Buchowski, Brian Neuman, Michael Steinmetz, Zoher Ghogawala, Michael P. Kelly, Burel R. Goodin, Jay F. Piccirillo, Thomas L. Rodebaugh, Chenyang Lu, Wilson Z. Ray. Preoperative Mobile Health Data Improve Predictions of Recovery From Lumbar Spine Surgery. Neurosurgery. 2024. doi:10.1227/neu.0000000000002911

Yakdan S, Botterbush K, Xu Z, Lu C, Ray WZ, Greenberg JK. Machine learning and lumbar spondylolisthesis. Seminars in Spine Surgery. 2024

2023

Xue B, Said AS, Xu Z, Liu H, Shah N, Yang H, Payne PR, Lu C. Assisting clinical decisions for scarcely available treatment via disentangled latent representation. Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD). 2023. doi:10.1145/3580305.3599774

Shah N, Xue B, Xu Z, Yang H, Marwali E, Dalton H, Payne PPR, Lu C, Said AS, ISARIC Clinical Characterisation Group. Validation of extracorporeal membrane oxygenation mortality prediction and severity of illness scores in an international COVID-19 cohort. Artificial Organs. 2023

Greenberg JK, Javeed S, Zhang JK, Benedict B, Frumkin MR, Xu Z, Zhang J, Rodebaugh TL, Lu C, Steinmetz M, Ghogawala Z, Bydon M, Ray WZ. Current and future applications of mobile health technology for evaluating spine surgery patients: a review. Journal of Neurosurgery: Spine. 2023