Publications
Predicting persistent opioid use after surgery using electronic health record and patient-reported data
Singh, K,
Murali, A,
Stevens, H,
Vydiswaran, VGV,
Bohnert, A,
Brummett, CM,
Fernandez, AC,
Surgery, 2022 Jul; DOI:10.1016/j.surg.2022.01.008 A validated algorithm using current literature to judge the appropriateness of anatomic total shoulder arthroplasty utilizing the RAND/UCLA appropriateness method
Le Breton, S,
Sylvia, S,
Saini, S,
Mousad, A,
Chilton, M,
Lee, S,
Li, L,
MacAskill, M,
Ross, G,
Gentile, J,
Otto, RJ,
Kaar, SG,
Pinnamaneni, S,
Jawa, A,
Kirsch, J,
Ode, G,
Aibinder, W,
Greiwe, RM,
DeAngelis, J,
King, JJ,
J Shoulder Elbow Surg, 2022 Jul; DOI:10.1016/j.jse.2021.12.025 Meta-Bayesian Optimization for Deep Brain Stimulation
Connolly, MJ,
Opri, E,
Miocinovic, S,
Devergnas, AD,
Annu Int Conf IEEE Eng Med Biol Soc, 2022 Jul; DOI:10.1109/EMBC48229.2022.9871279 The utilization of telehealth during the COVID-19 pandemic: An American pediatric surgical association survey.
Shah, A,
Skertich, NJ,
Sullivan, GA,
Silverberg, JT,
Gadepalli, S,
Raval, MV,
Gulack, BC,
J Pediatr Surg, 2022 Jul; DOI:10.1016/j.jpedsurg.2022.01.048 Children aged 3-4 years were more likely to be given mobile devices for calming purposes if they had weaker overall executive functioning.
Danet, M,
Miller, AL,
Weeks, HM,
Kaciroti, N,
Radesky, JS,
Acta Paediatr, 2022 Jul; DOI:10.1111/apa.16314 “Virtual” attenuation correction: improving stress myocardial perfusion SPECT imaging using deep learning
Hagio, T,
Poitrasson-Rivière, A,
Moody, JB,
Renaud, JM,
Arida-Moody, L,
Shah, RV,
Ficaro, EP,
Murthy, VL,
Eur J Nucl Med Mol Imaging, 2022 Jul; DOI:10.1007/s00259-022-05735-7 Implementation of an Electronic Health Record Intervention to Improve Resident Documentation and Communication about Overnight Cross-Cover Events
Breeden, M,
Hartley, S,
Huey, A,
McTaggart, S,
Heidemann, LA,
Am J Med Qual, 2022 Jul; DOI:10.1097/JMQ.0000000000000058 Artificial intelligence and machine learning for early detection and diagnosis of colorectal cancer in sub-Saharan Africa.
Waljee, AK,
Weinheimer-Haus, EM,
Abubakar, A,
Ngugi, AK,
Siwo, GH,
Kwakye, G,
Singal, AG,
Rao, A,
Saini, SD,
Read, AJ,
Baker, JA,
Balis, U,
Opio, CK,
Zhu, J,
Saleh, MN,
Gut, 2022 Jul; DOI:10.1136/gutjnl-2022-327211 Artificial intelligence-enabled decision support in nephrology.
Loftus, TJ,
Shickel, B,
Ozrazgat-Baslanti, T,
Ren, Y,
Glicksberg, BS,
Cao, J,
Singh, K,
Chan, L,
Nadkarni, GN,
Bihorac, A,
Nat Rev Nephrol, 2022 Jul; DOI:10.1038/s41581-022-00562-3 Understanding Baseline Physical Activity in Cardiac Rehabilitation Enrollees Using Mobile Health Technologies.
Golbus, JR,
Gupta, K,
Stevens, R,
Jeganathan, VS,
Luff, E,
Boyden, T,
Mukherjee, B,
Klasnja, P,
Kheterpal, S,
Kohnstamm, S,
Nallamothu, BK,
Circ Cardiovasc Qual Outcomes, 2022 Jul; DOI:10.1161/CIRCOUTCOMES.122.009182 Future of Cholangioscopy
Machicado, JD,
Raijman, I,
Shah, RJ,
Gastrointest Endosc Clin N Am, 2022 Jul; DOI:10.1016/j.giec.2022.03.002 A GAN based approach for inferring progression trajectories of costal cartilage calcification from cross-sectional data at image level
Huang, Y,
Holcombe, SA,
Zhou, Q,
Wang, SC,
Tang, J,
Nie, B,
Comput Biol Med, 2022 Jul; DOI:10.1016/j.compbiomed.2022.105647 Moving from "Surgeries" to Patients: Progress and Pitfalls While Using Machine Learning to Personalize Transfusion Prediction.
Mathis, MR,
Singh, K,
Kheterpal, S,
Anesthesiology, 2022 Jul; DOI:10.1097/ALN.0000000000004250 Value in Acute Care Surgery, Part 2: Defining and Measuring Quality Outcomes.
Ross, SW,
Wandling, MW,
Bruns, BR,
Martin, RS,
Scott, JW,
Doucet, JJ,
Davis, KA,
Staudenmayer, KL,
Minei, JP,
J Trauma Acute Care Surg, 2022 Jul; DOI:10.1097/TA.0000000000003638 Wearables in Sports Cardiology
Beavers, DL,
Chung, EH,
Clin Sports Med, 2022 Jul; DOI:10.1016/j.csm.2022.02.004 Regression and Random Forest Machine Learning Have Limited Performance in Predicting Bowel Preparation in Veteran Population
Kurlander, JE,
Waljee, AK,
Menees, SB,
Lipson, R,
Kokaly, AN,
Read, AJ,
Shehadeh, KS,
Cohn, A,
Saini, SD,
Dig Dis Sci, 2022 Jul; DOI:10.1007/s10620-021-07113-z Stochastic enzyme kinetics and the quasi-steady-state reductions: Application of the slow scale linear noise approximation à la Fenichel
Eilertsen, J,
Srivastava, K,
Schnell, S,
J Math Biol, 2022 Jul; DOI:10.1007/s00285-022-01768-6 Detrusor Pressure Estimation from Single-Channel Urodynamics
Zareen, F,
Ouyang, Z,
Majerus, SJA,
Bruns, TM,
Damaser, MS,
Karam, R,
Annu Int Conf IEEE Eng Med Biol Soc, 2022 Jul; DOI:10.1109/EMBC48229.2022.9871663 Integration of artificial vision with non-visual peripheral cues to guide mobility
Jeganathan, VSE,
Lin, CE,
Son, H,
Krishnagiri, DS,
Wei, Y,
Weiland, JD,
Annu Int Conf IEEE Eng Med Biol Soc, 2022 Jul; DOI:10.1109/EMBC48229.2022.9871117 Population-based signals of benzodiazepine drug interactions associated with unintentional traumatic injury
Pham Nguyen, TP,
Soprano, SE,
Hennessy, S,
Brensinger, CM,
Bilker, WB,
Miano, TA,
Acton, EK,
Horn, JR,
Chung, SP,
Dublin, S,
Oslin, DW,
Wiebe, DJ,
Leonard, CE,
J Psychiatr Res, 2022 Jul; DOI:10.1016/j.jpsychires.2022.04.033 PEPPI: Whole-proteome Protein-protein Interaction Prediction through Structure and Sequence Similarity, Functional Association, and Machine Learning.
Bell, EW,
Schwartz, JH,
Freddolino, PL,
Zhang, Y,
J Mol Biol, 2022 Jun; DOI:10.1016/j.jmb.2022.167530 A low-power communication scheme for wireless, 1000 channel brain-machine interfaces
Costello, JT,
Nason-Tomaszewski, SR,
An, H,
Lee, J,
Mender, MJ,
Temmar, H,
Wallace, DM,
Lim, J,
Willsey, MS,
Patil, PG,
Jang, T,
Phillips, JD,
Kim, H-S,
Blaauw, D,
Chestek, CA,
J Neural Eng, 2022 Jun; DOI:10.1088/1741-2552/ac7352 Estimating circadian phase in elementary school children: leveraging advances in physiologically informed models of circadian entrainment and wearable devices
Moreno, JP,
Hannay, KM,
Walch, O,
Dadabhoy, H,
Christian, J,
Puyau, M,
El-Mubasher, A,
Bacha, F,
Grant, SR,
Park, RJ,
Cheng, P,
Sleep, 2022 Jun; DOI:10.1093/sleep/zsac061 AI-based structure prediction empowers integrative structural analysis of human nuclear pores
Mosalaganti, S,
Obarska-Kosinska, A,
Siggel, M,
Taniguchi, R,
Turoňová, B,
Zimmerli, CE,
Buczak, K,
Schmidt, FH,
Margiotta, E,
Mackmull, M-T,
Hagen, WJH,
Hummer, G,
Kosinski, J,
Beck, M,
Science, 2022 Jun; DOI:10.1126/science.abm9506 AMAISE: a machine learning approach to index-free sequence enrichment.
Krishnamoorthy, M,
Ranjan, P,
Erb-Downward, JR,
Dickson, RP,
Wiens, J,
Commun Biol, 2022 Jun; DOI:10.1038/s42003-022-03498-3 