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Machine learning and acute stroke imaging
Conclusions ML in acute ischemic stroke imaging has already made tremendous headway. Additional applications and further integration with clinical care is inevitable. Thus, facility with these approaches is critical for the neurointerventional clinician.
Source: Journal of NeuroInterventional Surgery - January 11, 2023 Category: Neurosurgery Authors: Sheth, S. A., Giancardo, L., Colasurdo, M., Srinivasan, V. M., Niktabe, A., Kan, P. Tags: Neuroimaging Source Type: research

Rapid learning curve for Solitaire FR stent retriever therapy: evidence from roll-in and randomised patients in the SWIFT trial
Conclusions Thrombectomy in AIS using the Solitaire stent retriever device can be performed safely and effectively when used by experienced neurointerventionalists without previous experience with the device. Trial registration number The SWIFT study is registered with ClinicalTrials.gov, number NCT 01054560.
Source: Journal of NeuroInterventional Surgery - March 15, 2016 Category: Neurosurgery Authors: Sheth, S. A., Jahan, R., Levy, E. I., Jovin, T. G., Baxter, B., Nogueira, R. G., Clark, W., Budzik, R., Zaidat, O. O., Saver, J. L., for the SWIFT Trialists Tags: Ischemic stroke Source Type: research

E-046 Length of stay in mechanical thrombectomy, and machine learning improvement of predictive analysis
Conclusions Machine learning methods outperform multivariate logistic regression at the prediction of length of stay. Predictive analysis for patient length of stay could help hospital utilization and allow for more aggressive measures to prevent hospital acquired conditions. Disclosures S. Arndt: None. G. Bennett: None. K. Wojcik: None. A. Albar: None. M. Alhasan: None. J. Ma: None. P. Gulotta: None. J. Milburn: None.
Source: Journal of NeuroInterventional Surgery - July 23, 2017 Category: Neurosurgery Authors: Arndt, S., Bennett, G., Wojcik, K., Albar, A., Alhasan, M., Ma, J., Gulotta, P., Milburn, J. Tags: Electronic Poster Abstracts Source Type: research

Prediction of bleb formation in intracranial aneurysms using machine learning models based on aneurysm hemodynamics, geometry, location, and patient population
Conclusions Based on the premise that aneurysm characteristics prior to bleb formation resemble those derived from vascular reconstructions with their blebs virtually removed, machine learning models can identify aneurysms prone to bleb development with good accuracy. Pending further validation with longitudinal data, these models may prove valuable for assessing the propensity of IAs to progress to vulnerable states and potentially rupturing.
Source: Journal of NeuroInterventional Surgery - September 14, 2022 Category: Neurosurgery Authors: Salimi Ashkezari, S. F., Mut, F., Slawski, M., Cheng, B., Yu, A. K., White, T. G., Woo, H. H., Koch, M. J., Amin-Hanjani, S., Charbel, F. T., Rezai Jahromi, B., Niemelä, M., Koivisto, T., Frosen, J., Tobe, Y., Maiti, S., Robertson, A. M., Cebral, Tags: Hemorrhagic stroke Source Type: research

E-236 Automated pre- and post-operative volumes estimates risk of retreatment in chronic subdural hematoma: a retrospective, multi-center study
Conclusions/RelevanceLarger pre- and post-operative cSDH volumes increase the risk of cSDH retreatment. Volume thresholds may allow identification of patients at high risk of cSDH retreatment who would benefit from adjunct treatments. Machine learning algorithm can quickly provide accurate estimates of pre and post operative volumes.Disclosures J. Vargas: 2; C; Viz.AI, Synchron, Borvo, Imperative Care. 4; C; Viz.AI, Imperative Care, Cerenovus, Q’APel. M. Pease: None. M. Snyder: None. J. Blalock: None. S. Wu: None. E. Nwachuku: None. A. Mital: None. D. Okonkwo: None. R. Kellogg: 2; C; VizAI, Cerenovus, Imperative Care. 4; C; VizAI.
Source: Journal of NeuroInterventional Surgery - July 30, 2023 Category: Neurosurgery Authors: Vargas, J., Pease, M., Snyder, M., Blalock, J., Wu, S., Nwachuku, E., Mital, A., Okonkwo, D., Kellogg, R. Tags: SNIS 20th annual meeting electronic poster abstracts Source Type: research