Publications

Research Papers

Laca, J., Kocielnik, R., Nguyen, J. H., You, J., Tsang, R., Wong, E. Y., Shtulman, A., Anandkumar, A., Hung, A. J. Using Real-time Feedback To Improve Surgical Performance on a Robotic Tissue Dissection Task. European Urology Open Science. 46, 15-21 (2022). https://doi.org/10.1016/j.euros.2022.09.015

Ma, R., Kiyasseh, D., Laca, J., Kocielnik, R., Wong, E., Chu, T., Cen, S., Yang, C., Dalieh, I., Haque, T., Goldenberg, M., Anandkumar, A., Hung, A. J. AI-based video feedback to improve novice performance on robotic suturing skills - a pilot study. Journal of Endourology. (2023). https://doi.org/10.1089/end.2023.0328

Kiyasseh, D., Laca, J., Haque, T.F. et al. A multi-institutional study using artificial intelligence to provide reliable and fair feedback to surgeons. Commun Med 3, 42 (2023). https://doi.org/10.1038/s43856-023-00263-3

Kiyasseh, D., Laca, J., Haque, T.F. et al. Human visual explanations mitigate bias in AI-based assessment of surgeon skills. npj Digit. Med. 6, 54 (2023). https://doi.org/10.1038/s41746-023-00766-2

Inouye, D.A., Ma, R., Nguyen, J.H., Laca, J., Kocielnik, R., Anandkumar, A., Hung, A. J. Assessing the efficacy of dissection gestures in robotic surgery. J Robotic Surg 17, 597–603 (2023). https://doi.org/10.1007/s11701-022-01458-x

Ma, R., Ramaswamy, A., Xu, J. Trinh, L., Kiyasseh, D., Chu, T. N., Wong, E. Y., Lee, R. S., Rodriguez, I., Demeo, G., Desai, A., Otiato, M. X., Roberts, S. I., Nguyen, J. S., Laca J., Liu, Y., Urbanova, K., Wagner, C., Anandkumar, A., Hu, J. C., Hung, A. J. Surgical gestures as a method to quantify surgical performance and predict patient outcomes. npj Digit. Med. 5, 187 (2022). https://doi.org/10.1038/s41746-022-00738-y

Young, A. G., Laca, J., Dieffenbach, G., Hossain, E., Mann, D., & Shtulman, A. (2018). Can science beat out intuition? Increasing the accessibility of counterintuitive scientific ideas. Proceedings of the 40th Annual Conference of the Cognitive Science Society, 1238-1243. https://sites.oxy.edu/shtulman/documents/2018d.pdf

Laca, J., Laca, E., Ho, T. Age- and Sex-Dependent Effects of Global and Within-Network Integration in Sleep-Deprived Versus Well-Rested Individuals: Application of Functional Principal Component Analysis on Resting-State fMRI Data, Flux 2024 September 28-30, Flux Congress, Society for Developmental and Cognitive Neuroscience, 2024. https://pmg.joynadmin.org/documents/1093/66e356347e9eb7544b2adf53.pdf

Laca, J., Kiyasseh, D., Kocielnik, R., Haque, T. F., Ma, R., Anandkumar, A., Hung, A. J. AI-BASED VIDEO FEEDBACK TO IMPROVE NOVICE PERFORMANCE ON A ROBOTIC SUTURING TASK. The Journal of Urology. 209, Supp. 4. (2023/4). https://doi.org/10.1097/JU.0000000000003316.05

Wong, E. Y., Yang, C. H., Dalieh, I. S., Sotelo, D. C., Laca, J., Ma, R., Chu, T. N., Kocielnik, R., Goldenberg, M. G., Nabhani, J. A., Cen, S., Hung, A. J. DECONSTRUCTING AND QUANTIFYING LIVE SURGICAL FEEDBACK IN THE OPERATING ROOM. The Journal of Urology. 209, Supp. 4. (2023/4). https://doi.org/10.1097/JU.0000000000003316.07

Kocielnik, R., Laca, J., Wong, E. Y., Chu, T. N., Roberts, S. I., Marshall, S., Anandkumar, A., Hung, A. J. IMPORTANCE OF COGNITIVE LOAD FOR AUTOMATED ERROR DETECTION IN ROBOT-ASSISTED SURGERY EDUCATION. The Journal of Urology. 209, Supp. 4. (2023/4). https://doi.org/10.1097/JU.0000000000003316.03

Laca, J., Kocielnik, R., Nguyen, J. H., Tsang, R., You, J., Hui, A., Anandkumar, A., Hung, A. J. BUILDING A REAL-TIME FEEDBACK SYSTEM TO IMPROVE PERFORMANCE ON A ROBOTIC TISSUE DISSECTION TASK. The Journal of Urology. 207, Supp. 5. (2022/5). https://doi.org/10.1097/JU.0000000000002532.15

Inouye, D., Ma, R., Nguyen, J. H., Laca, J., Kocielnik, R., Anandkumar A., Hung, A. J. EVALUATING THE EFFICACY OF TISSUE DISSECTION GESTURES DURING ROBOTIC SIMULATION TASK. The Journal of Urology. 207, Supp. 5. (2022/5). https://doi.org/10.1097/JU.0000000000002607.05

Kocielnik, R., Lee, I., Laca, J., Roberts, S. I., Nguyen, J. H., Sunmola, I. O., Huang, D.-A., Marshall, S. P., Anandkumar, A., Hung, A. J. COMPUTER VISION FOR SURGICAL ERRORS DETECTION DURING ROBOTIC TISSUE DISSECTION. The Journal of Urology. 207, Supp. 5. (2022/5). https://doi.org/10.1097/JU.0000000000002607.03