Prabhakar A, Ward CT, Tidwell AM, et al. Cardiac surgery-associated acute kidney injury in a single healthcare system: a retrospective observational study. Crit Care Sci. 2026;38:e20260370.
Setty S, Barta L, Gorbaty B, Moll V. Venous pulsation artifact and BIS-CVP waveform mimicry in cardiac surgery. J Cardiothorac Vasc Anesth. Published online April 8, 2026. doi:10.1053/j.jvca.2026.03.052
Mai T, Crawford AM, Moll V. Call to action for anesthesiologist leadership: critically ill patients depend on perioperative care. ASA Monitor. 2026;90(4):14,16. doi:10.1097/01.ASM.0001191884.18827.d2
Crawford AM, Sheyo N, Moll V, Odinkemelu D. Artificial intelligence: catapult for global perioperative care, or growing digital divide? ASA Monitor. 2026;90(4):15-16. doi:10.1097/01.ASM.0001191888.10781.d9
Siddiqui S, Khanna A, Tung A, et al. The changing landscape of academic anesthesiology research funding: preliminary insights from a national survey. Cureus. 2026;18(2):e103599. doi:10.7759/cureus.103599
Barroso A, Meco BC, Moll V, Guay CS, Radtke FM; Safe Brain Society. Responsibility cannot be abdicated: a mandate for patient-centred precision care in perioperative brain health. Br J Anaesth. 2026;137(1):26-30. doi:10.1016/j.bja.2026.02.009
Harper P, Ellinas H, Lindenbaum L, et al. A multimodal quality improvement approach to reduce sevoflurane consumption and greenhouse gas emissions in an academic health system. Cureus. 2026;18(1):e101430. doi:10.7759/cureus.101430
Moriguchi F, Cherveny M, Moll V. Advancing brain-centered anesthesia: highlights from the SBI EEG Bootcamp at the University of Minnesota. ASA Monitor. 2026;90(1):e4. doi:10.1097/01.ASM.0001176528.39078.c5
Bubser F, Jakobsen K, Meco BC, et al. Impact of shorter preoperative fluid fasting on patient outcomes: a Safe Brain Initiative retrospective cohort analysis. Anesth Analg. Published online November 24, 2025. doi:10.1213/ANE.0000000000007817
Moll V, Khanna AK, Mathur P. Artificial intelligence for the prediction of postoperative complications in the critically ill. Crit Care Sci. 2025;37:e20250025. doi:10.62675/2965-2774.20250025
Thiele D, Rodseth R, Friedland R, et al. Machine learning models for the early real-time prediction of deterioration in intensive care units-a novel approach to the early identification of high-risk patients. J Clin Med. 2025;14(2):350. doi:10.3390/jcm14020350
Moll V, Zhao M, Minear S, et al. Continuous urine output-based alert identifies cardiac surgery-associated acute kidney injury earlier than serum creatinine: a prospective and retrospective observational study. J Cardiothorac Vasc Anesth. 2024;38(10):2238-2246. doi:10.1053/j.jvca.2024.06.021
Moll V, Khanna AK, Kurz A, et al. Optimization of kidney function in cardiac surgery patients with intra-abdominal hypertension: expert opinion. Perioper Med (Lond). 2024;13(1):72. doi:10.1186/s13741-024-00416-5
Muzuka AZ, Kaliza AC, Moll V. Critical illness beyond the ICU – what is essential? ASA Monitor. 2024;88(5):20-21. doi:10.1097/01.ASM.0001008268.88280.7c
Hoyler M, Deshpande R, Moll V, Kaufman M. The critical care anesthesiologist outside the ICU. ASA Monitor. 2024;88(5):17-18. doi:10.1097/01.ASM.0001010664.14198.db
