Uncertainty-aware deep learning for trustworthy prediction of long-term outcome after endovascular thrombectomy … – Nature.com
Global Burden of Disease Stroke Expert Group and others. Global, regional, and country-specific lifetime risks of stroke, 1990 and 2016. N. Engl. J. Med. 379, 24292437 (2018).
Article Google Scholar
Goyal, M. et al. Endovascular thrombectomy after large-vessel Ischaemic stroke: A meta-analysis of individual patient data from five randomised trials. Lancet 387, 17231731 (2016).
Article PubMed Google Scholar
Albers, G. W. et al. Thrombectomy for stroke at 6 to 16 hours with selection by perfusion imaging. N. Engl. J. Med. 378, 708718 (2018).
Article PubMed PubMed Central Google Scholar
Nogueira, R. G. et al. Thrombectomy 6 to 24 hours after stroke with a mismatch between deficit and infarct. N. Engl. J. Med. 378, 1121 (2018).
Article PubMed Google Scholar
Quinn, T., Dawson, J., Walters, M. & Lees, K. Functional outcome measures in contemporary stroke trials. Int. J. Stroke 4, 200205 (2009).
Article CAS PubMed Google Scholar
Johnston, K. C., Wagner, D. P., Haley, E. C. Jr. & Connors, A. F. Jr. Combined clinical and imaging information as an early stroke outcome measure. Stroke 33, 466472 (2002).
Article PubMed PubMed Central Google Scholar
Asadi, H., Dowling, R., Yan, B. & Mitchell, P. Machine learning for outcome prediction of acute ischemic stroke post intra-arterial therapy. PLoS ONE 9, e88225 (2014).
Article ADS PubMed PubMed Central Google Scholar
Monteiro, M. et al. Using machine learning to improve the prediction of functional outcome in ischemic stroke patients. IEEE/ACM Trans. Comput. Biol. Bioinf. 15, 19531959 (2018).
Article Google Scholar
Heo, J. et al. Machine learning-based model for prediction of outcomes in acute stroke. Stroke 50, 12631265 (2019).
Article PubMed Google Scholar
Bacchi, S. et al. Deep learning in the prediction of Ischaemic stroke thrombolysis functional outcomes: A pilot study. Acad. Radiol. 27, e19e23 (2020).
Article PubMed Google Scholar
Alaka, S. A. et al. Functional outcome prediction in ischemic stroke: A comparison of machine learning algorithms and regression models. Front. Neurol. 11, 889 (2020).
Article PubMed PubMed Central Google Scholar
Begoli, E., Bhattacharya, T. & Kusnezov, D. The need for uncertainty quantification in machine-assisted medical decision making. Nat. Mach. Intell. 1, 2023 (2019).
Article Google Scholar
Kim, D.-Y. et al. Deep learning-based personalised outcome prediction after acute ischaemic stroke. J. Neurol. Neurosurg. Psychiatry 94, 369378 (2023).
Article PubMed Google Scholar
Vora, N. A. et al. A 5-item scale to predict stroke outcome after cortical middle cerebral artery territory infarction: Validation from results of the diffusion and perfusion imaging evaluation for understanding stroke evolution (defuse) study. Stroke 42, 645649 (2011).
Article PubMed Google Scholar
Panni, P. et al. Acute stroke with large ischemic core treated by thrombectomy: Predictors of good outcome and mortality. Stroke 50, 11641171 (2019).
Article PubMed Google Scholar
Van Os, H. J. et al. Predicting outcome of endovascular treatment for acute ischemic stroke: Potential value of machine learning algorithms. Front. Neurol. 9, 784 (2018).
Article PubMed PubMed Central Google Scholar
Xie, Y. et al. Use of gradient boosting machine learning to predict patient outcome in acute ischemic stroke on the basis of imaging, demographic, and clinical information. Am. J. Roentgenol. 212, 4451 (2019).
Article Google Scholar
Thakkar, H. K., Liao, W.-W., Wu, C.-Y., Hsieh, Y.-W. & Lee, T.-H. Predicting clinically significant motor function improvement after contemporary task-oriented interventions using machine learning approaches. J. Neuroeng. Rehabil. 17, 110 (2020).
Article Google Scholar
Shao, H. et al. A new machine learning algorithm with high interpretability for improving the safety and efficiency of thrombolysis for stroke patients: A hospital-based pilot study. Digit. Health 9, 20552076221149530 (2023).
PubMed PubMed Central Google Scholar
Bronstein, M. M., Bruna, J., LeCun, Y., Szlam, A. & Vandergheynst, P. Geometric deep learning: Going beyond Euclidean data. IEEE Signal Process. Mag. 34, 1842 (2017).
Article ADS Google Scholar
Parisot, S. et al. Spectral graph convolutions for population-based disease prediction. In International Conference on Medical Image Computing and Computer-Assisted Intervention (eds Parisot, S. et al.) 177185 (Springer, 2017).
Google Scholar
Kazi, A. et al. Inceptiongcn: Receptive field aware graph convolutional network for disease prediction. In International Conference on Information Processing in Medical Imaging (eds Kazi, A. et al.) 7385 (Springer, 2019).
Chapter Google Scholar
Ravindra, N., Sehanobish, A., Pappalardo, J.L., Hafler, D.A. & van Dijk, D. Disease state prediction from single-cell data using graph attention networks. In: Proc. of the ACM conference on health, inference, and learning, 121130 (2020).
Huang, Y. & Chung, A. C. Disease prediction with edge-variational graph convolutional networks. Med. Image Anal. 77, 102375 (2022).
Article PubMed Google Scholar
Loftus, T. J. et al. Uncertainty-aware deep learning in healthcare: A scoping review. PLOS Digit. Health 1, e0000085 (2022).
Article PubMed PubMed Central Google Scholar
Abdar, M. et al. A review of uncertainty quantification in deep learning: Techniques, applications and challenges. Information Fusion 76, 243297 (2021).
Article Google Scholar
Abdar, M., Khosravi, A., Islam, S. M. S., Acharya, U. R. & Vasilakos, A. V. The need for quantification of uncertainty in artificial intelligence for clinical data analysis: Increasing the level of trust in the decision-making process. IEEE Syst. Man Cybern. Magaz. 8, 2840 (2022).
Article Google Scholar
Guo, C., Pleiss, G., Sun, Y. & Weinberger, K. Q. On calibration of modern neural networks. In Proceedings of the 34th International Conference on Machine Learning Vol. 70 (eds Precup, D. & Teh, Y. W.) 13211330 (PMLR, 2017).
Google Scholar
Pearce, T., Brintrup, A. & Zhu, J. Understanding softmax confidence and uncertainty. Preprint at arXiv:2106.04972 (2021).
Alarab, I., Prakoonwit, S. & Nacer, M. I. Illustrative discussion of mc-dropout in general dataset: Uncertainty estimation in bitcoin. Neural Process. Lett. 53, 10011011 (2021).
Article Google Scholar
Alarab, I. & Prakoonwit, S. Uncertainty estimation-based adversarial attacks: a viable approach for graph neural networks. Soft Computing 113 (2023).
Gal, Y. & Ghahramani, Z. Dropout as a Bayesian approximation: Representing model uncertainty in deep learning. In International Conference on Machine Learning (eds Gal, Y. & Ghahramani, Z.) 10501059 (PMLR, 2016).
Google Scholar
Singer, O. C. et al. Collateral vessels in proximal middle cerebral artery occlusion: The endostroke study. Radiology 274, 851858 (2015).
Article PubMed Google Scholar
Bang, O. Y. et al. Impact of collateral flow on tissue fate in acute Ischaemic stroke. J. Neurol. Neurosurg. Psychiatry 79, 625629 (2008).
Article CAS PubMed Google Scholar
Menon, B. K. et al. Assessment of leptomeningeal collaterals using dynamic ct angiography in patients with acute ischemic stroke. J. Cerebral Blood Flow Metabol. 33, 365371 (2013).
Article Google Scholar
Berkhemer, O. A. et al. Collateral status on baseline computed tomographic angiography and intra-arterial treatment effect in patients with proximal anterior circulation stroke. Stroke 47, 768776 (2016).
Article CAS PubMed Google Scholar
Menon, B. et al. Regional leptomeningeal score on ct angiography predicts clinical and imaging outcomes in patients with acute anterior circulation occlusions. Am. J. Neuroradiol. 32, 16401645 (2011).
Article CAS PubMed PubMed Central Google Scholar
Kucinski, T. et al. Collateral circulation is an independent radiological predictor of outcome after thrombolysis in acute ischaemic stroke. Neuroradiology 45, 1118 (2003).
Article CAS PubMed Google Scholar
Sheth, S. A. et al. Collateral flow as causative of good outcomes in endovascular stroke therapy. J. Neurointerv. Surg. 8, 27 (2016).
Article PubMed Google Scholar
Seyman, E. et al. The collateral circulation determines cortical infarct volume in anterior circulation ischemic stroke. BMC Neurol. 16, 19 (2016).
Article Google Scholar
Elijovich, L. et al. Cta collateral score predicts infarct volume and clinical outcome after endovascular therapy for acute ischemic stroke: a retrospective chart review. J. Neurointerv. Surg. 8, 559562 (2016).
Article PubMed Google Scholar
Prasetya, H. et al. Value of ct perfusion for collateral status assessment in patients with acute ischemic stroke. Diagnostics 12, 3014 (2022).
Article PubMed PubMed Central Google Scholar
Potreck, A. et al. Rapid ct perfusion-based relative cbf identifies good collateral status better than hypoperfusion intensity ratio, cbv-index, and time-to-maximum in anterior circulation stroke. Am. J. Neuroradiol. 43, 960965 (2022).
Article CAS PubMed PubMed Central Google Scholar
Olivot, J. M. et al. Hypoperfusion intensity ratio predicts infarct progression and functional outcome in the defuse 2 cohort. Stroke 45, 10181023 (2014).
Article PubMed PubMed Central Google Scholar
Li, B.-H. et al. Cerebral blood volume index may be a predictor of independent outcome of thrombectomy in stroke patients with low aspects. J. Clin. Neurosci. 103, 188192 (2022).
Article ADS PubMed Google Scholar
Laredo, C. et al. Clinical and therapeutic variables may influence the association between infarct core predicted by ct perfusion and clinical outcome in acute stroke. Eur. Radiol. 32, 45104520 (2022).
Article CAS PubMed Google Scholar
Christodoulou, E. et al. A systematic review shows no performance benefit of machine learning over logistic regression for clinical prediction models. J. Clin. Epidemiol. 110, 1222 (2019).
Article PubMed Google Scholar
Ramos, L. A. et al. Predicting poor outcome before endovascular treatment in patients with acute ischemic stroke. Front. Neurol. 11, 580957 (2020).
Article PubMed PubMed Central Google Scholar
Leker, R. R. et al. Post-stroke aspects predicts outcome after thrombectomy. Neuroradiology 63, 769775 (2021).
Article PubMed Google Scholar
Peng, H., Long, F. & Ding, C. Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancy. IEEE Trans. Pattern Anal. Mach. Intell. 27, 12261238 (2005).
Article PubMed Google Scholar
Zhao, Z., Anand, R. & Wang, M. Maximum relevance and minimum redundancy feature selection methods for a marketing machine learning platform. In 2019 IEEE International Conference on Data Science and Advanced Analytics (DSAA) (eds Zhao, Z. et al.) 442452 (IEEE, 2019).
Chapter Google Scholar
Paszke, A. et al. Pytorch: An imperative style, high-performance deep learning library. In Advances in Neural Information Processing Systems Vol. 32 (eds Paszke, A. et al.) 80248035 (Curran Associates, Inc., 2019).
- Machine Learning Links Metabolic and Inflammatory Shifts to Age-Related Hearing Loss - Bioengineer.org - November 13th, 2026 [November 13th, 2026]
- Evaluation of machine learning-based prediction of pregnancy complications and adverse birth outcomes using routine data - Nature - November 13th, 2026 [November 13th, 2026]
- Machine Learning Identifies Palmitoylation Biomarkers and Candidate Repurposed Drug in Lung Cancer - Bioengineer.org - November 13th, 2026 [November 13th, 2026]
- Machine Learning Identifies Changing Predictors of Medication Experience in Schizophrenia - Bioengineer.org - November 13th, 2026 [November 13th, 2026]
- Machine Learning Predicts Nuclear Reactor Containment Seismic Demands With Explainable Models - Bioengineer.org - November 7th, 2026 [November 7th, 2026]
- Explainable Machine Learning Identifies Predictive Thresholds Governing Urban Heat Island Dynamics - Bioengineer.org - November 7th, 2026 [November 7th, 2026]
- Machine learning reshapes yeast enzyme to favor a stubborn aldehyde and survive heat - Bioengineer.org - November 7th, 2026 [November 7th, 2026]
- Machine learning and winter storm predictions to be the focus of Nov. 6 talk - The Pennsylvania State University - November 3rd, 2026 [November 3rd, 2026]
- Zelims ZOE Taps AI, Machine Learning to Enhance S&R Operations - Marine News Magazine - November 3rd, 2026 [November 3rd, 2026]
- From Meters to Machine Learning: Building AI-Ready Utilities in India - CSIS | Center for Strategic and International Studies - October 30th, 2026 [October 30th, 2026]
- SPINE: A machine-learning program is on the trail of ghost particles - Phys.org - October 30th, 2026 [October 30th, 2026]
- Identification of ferroptosis-related key genes influencing synovitis development in osteoarthritis based on machine learning - Nature - October 30th, 2026 [October 30th, 2026]
- Machine learning simulations reveal how plastic transforms into hard carbon - EurekAlert! - October 30th, 2026 [October 30th, 2026]
- Machine learning predicts wastewater aeration efficiency, but only when data stay close to home - Bioengineer.org - October 30th, 2026 [October 30th, 2026]
- Machine learning reveals when changing shot direction pays off in elite tennis - Bioengineer.org - October 30th, 2026 [October 30th, 2026]
- Machine learning and blockchain team up to cut supply chain costs and carbon - Bioengineer.org - October 30th, 2026 [October 30th, 2026]
- Machine learning simulations uncover how plastic transforms into hard carbon - Open Access Government - October 30th, 2026 [October 30th, 2026]
- Machine Learning Surrogates Predict Wing Aerodynamics and Stress in Seconds - bioengineer.org - October 30th, 2026 [October 30th, 2026]
- Kernel-Tuned Machine Learning Pushes Network Intrusion Detection Toward 99% Accuracy on Benchmark Data - Bioengineer.org - October 30th, 2026 [October 30th, 2026]
- Machine learning and water quality indices reveal monsoon pollution hotspots in Odishas Baitarani River - bioengineer.org - October 30th, 2026 [October 30th, 2026]
- Machine Learning Predicts ICU Deaths in PAD Patients, but Hemodynamics Add Little - Bioengineer.org - October 30th, 2026 [October 30th, 2026]
- Stacked machine learning pairs ultrasound and Raman spectra to flag thyroid cancer - Bioengineer.org - October 30th, 2026 [October 30th, 2026]
- Machine Learning and Entropy Indices Reveal Most Mahanadi Water Near Paradip Unfit to Drink - Bioengineer.org - October 30th, 2026 [October 30th, 2026]
- Machine learning simulations trace how plastic turns into hard carbon atom by atom - Bioengineer.org - October 30th, 2026 [October 30th, 2026]
- My Machine Learning Pipeline Cheated, and Cross-Validation Never Noticed - Towards Data Science - October 26th, 2026 [October 26th, 2026]
- Machine learning predicts next-year fitness assessment failure in university students - Bioengineer.org - October 26th, 2026 [October 26th, 2026]
- Serrated Airfoils Reshape Stall Behavior in CFD, Wind Tunnel and Machine Learning Study - Bioengineer.org - October 26th, 2026 [October 26th, 2026]
- Applications of artificial intelligence and machine learning in food processing, quality control, and food safety: a critical review - Nature - October 26th, 2026 [October 26th, 2026]
- Machine-learning simulations reveal how sodium batteries form their protective interface - Bioengineer.org - October 26th, 2026 [October 26th, 2026]
- Reimagining demand forecasting at Bayer with AI and machine learning - Supply Chain Management Review - September 28th, 2026 [September 28th, 2026]
- What Is Machine Learning Fairness? What You Need to Know - Coursera - September 28th, 2026 [September 28th, 2026]
- Howard University Hosts Machine Learning Symposium in Collaboration with Amazon Web Services - The Dig at Howard University - September 26th, 2026 [September 26th, 2026]
- Machine learning helps identify chemicals that repel honey bees from pesticides - University of California, Riverside - September 26th, 2026 [September 26th, 2026]
- Machine Learning Hunts Down Hidden Gene Switches Across the Fungal Tree of Life - Bioengineer.org - September 26th, 2026 [September 26th, 2026]
- Integrated Quantum Technologies Advances ICA Research for IEEE Secure and Trustworthy Machine Learning Conference Submission - TMX Newsfile - September 26th, 2026 [September 26th, 2026]
- I surprisingly don't hate the Logitech Blue Yeti 2's use of machine learning - Yahoo Tech - September 26th, 2026 [September 26th, 2026]
- LANDR expands AI fraud detection built with machine learning lab Mila and says artificial streams flagged by Spotify for music it distributes fell... - September 26th, 2026 [September 26th, 2026]
- University Of California Machine Learning Spots Scents Bees Avoid In Real Fields - Quantum Zeitgeist - September 26th, 2026 [September 26th, 2026]
- Inside the AI Investing Think Tank: How Machine Learning Drives Modern Financial Research - Rebellion Research - September 26th, 2026 [September 26th, 2026]
- New machine learning methods set to improve forecasts - University of Reading - September 24th, 2026 [September 24th, 2026]
- What this machine learning model boasting 65% accuracy says is coming next for the 10-year Treasury - MarketWatch - September 24th, 2026 [September 24th, 2026]
- Quantitative Investment Strategies: Institutional Architecture and Machine Learning Alpha in 2026 - Rebellion Research - September 24th, 2026 [September 24th, 2026]
- Machine learning forecasts suggest a concentration paradox in international student mobility to the United Kingdom - Nature - September 22nd, 2026 [September 22nd, 2026]
- Machine learning model distinguishes levels of psychological resilience in health care workers with 75% accuracy - Medical Xpress - September 22nd, 2026 [September 22nd, 2026]
- How Machine Learning Is Changing the Way We Inspect the Railway - Railway-News - September 22nd, 2026 [September 22nd, 2026]
- Microsoft file patent for a machine learning system that would "train" itself on your playtime to work out when you'll be least annoyed by... - September 22nd, 2026 [September 22nd, 2026]
- Quantitative Finance Conferences NYC 2026: The AI and Machine Learning Summit Guide - Rebellion Research - September 22nd, 2026 [September 22nd, 2026]
- Nanoparticle Electrode and Machine Learning Team Up to Catch Toxic Lead and Cadmium in Water - Bioengineer.org - September 22nd, 2026 [September 22nd, 2026]
- Cosmic tensions: can machine learning find a fairer story of the universe - Times of Malta - September 22nd, 2026 [September 22nd, 2026]
- Lessening the shock of defibrillation with machine learning - AIP.ORG - September 17th, 2026 [September 17th, 2026]
- Algorithmic Stock Picking: The Architecture of Machine Learning Alpha in 2026 - Rebellion Research - September 17th, 2026 [September 17th, 2026]
- Canada is pushing ahead with machine learning to improve medical diagnostics - Digital Journal - September 17th, 2026 [September 17th, 2026]
- How researchers use machine learning to re-create chirps and trills produced by forest insects when Dinos - The Times of India - September 15th, 2026 [September 15th, 2026]
- Machine Learning Reshapes Credit Scoring - Communications of the ACM - September 13th, 2026 [September 13th, 2026]
- Machine Learning With Threshold Optimization Could Help Reduce Unnecessary Appendectomies in Adults - bioengineer.org - September 13th, 2026 [September 13th, 2026]
- Information Theory Meets Machine Learning to Catch Industrial Cyberattacks - bioengineer.org - September 13th, 2026 [September 13th, 2026]
- Machine Learning Gets a Robustness Boost by Turning Labels into Preferences - bioengineer.org - September 13th, 2026 [September 13th, 2026]
- Machine Learning Meets X-Rays to Reveal the Hidden Architecture of Pea Seeds - bioengineer.org - September 13th, 2026 [September 13th, 2026]
- Machine Learning Predicts Which Women Will Face Early Ovarian Failure Within Three Years - bioengineer.org - September 13th, 2026 [September 13th, 2026]
- Machine Learning Cracks the Code of Nitinol Wear, a Metal That Remembers Its Shape - bioengineer.org - September 13th, 2026 [September 13th, 2026]
- Using machine learning to see how living brains learn - The University of Utah - September 8th, 2026 [September 8th, 2026]
- Applying causal machine learning to assess and improve cleantech policy design - Nature - September 8th, 2026 [September 8th, 2026]
- Frontier Tech Leaders Programme Celebrates First Machine Learning Bootcamp Graduation and AI for Sustainable Tourism Hackathon in Angola - United... - September 8th, 2026 [September 8th, 2026]
- From the Knowledge to machine learning: Wayve takes AI driving to London - IOT Insider - September 8th, 2026 [September 8th, 2026]
- Algorithm optimizes machine learning techniques that use linear, tunable resistor networks - AIP.ORG - September 2nd, 2026 [September 2nd, 2026]
- Math Modeling Seminar: Applications of Topological Data Analysis and Machine Learning Models in Predictive Biology and Drug Discovery | Events | RIT -... - September 2nd, 2026 [September 2nd, 2026]
- UC Berkeley Announces New Professional Graduate Degree in AI and Machine Learning - University of California, Berkeley - August 25th, 2026 [August 25th, 2026]
- DedeepyaYarraand the rise of Trustworthy AI: Where Machine Learning meets cybersecurity - India.com - August 25th, 2026 [August 25th, 2026]
- Machine learning smooths the road from idea to real-world climate impact - EurekAlert! - August 18th, 2026 [August 18th, 2026]
- Chris Latham Interviews Henry Zelikovsky, Founder & CEO of Softlab360: Successful Applications of AI/Machine Learning in Wealth Management -... - August 18th, 2026 [August 18th, 2026]
- Integrated data and machine learning transform lung cancer diagnosis and treatment - Bioengineer.org - August 18th, 2026 [August 18th, 2026]
- Machine learning accelerates climate solutions from ideas to real-world impact - Bioengineer.org - August 18th, 2026 [August 18th, 2026]
- Identification of weight loss predictors using machine learning approaches in adolescents with obesity - Nature - August 16th, 2026 [August 16th, 2026]
- Quantitative Hedge Fund Strategies: The Machine Learning Revolution of 2026 - rebellionresearch.com - August 16th, 2026 [August 16th, 2026]
- Healthcare Machine Learning Hits Production Scale as Governance Falls Behind, Black Book's Fourth Annual Report Finds - bhpioneer.com - August 16th, 2026 [August 16th, 2026]
- Machine Learning Identifies Predictors of Weight Loss in Adolescents With Obesity - Bioengineer.org - August 16th, 2026 [August 16th, 2026]
- How AI is changing hurricane forecasting as scientists track storms with machine learning - Gulf Coast News and Weather - August 12th, 2026 [August 12th, 2026]
- Scalable prediction of suicidal risk in university students: a three steps machine learning approach in university settings - Nature - August 12th, 2026 [August 12th, 2026]
- Identification of critical brain regions for young adults with obesity and their relationships with impulsivity using machine learning based on... - August 12th, 2026 [August 12th, 2026]
- UNIVERSITY OF ALBERTA Drones and machine learning team up to map forest soil health - Education News Canada - August 12th, 2026 [August 12th, 2026]