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Last Posted: Jun 02, 2023

• Summary for Patients: Population Genomic Screening for Three Common Hereditary Conditions.
  et al. Ann Intern Med 2023 5 (5) I19
• Social bias in artificial intelligence algorithms designed to improve cardiovascular risk assessment relative to the Framingham Risk Score: a protocol for a systematic review.
  Ivneet Garcha et al. BMJ Open 2023 13(5) e067638
• Development and validation of explainable machine-learning models for carotid atherosclerosis early screening.
  Ke Yun et al. J Transl Med 2023 21(1) 353
• Interpretable Machine Learning Model Predicting Early Neurological Deterioration in Ischemic Stroke Patients Treated with Mechanical Thrombectomy: A Retrospective Study.
  Tongtong Yang et al. Brain Sci 2023 13(4)
• Machine learning for the prediction of cognitive impairment in older adults.
  Wanyue Li et al. Front Neurosci 2023 171158141
• Tumor Genomic Profile Is Associated With Arterial Thromboembolism Risk in Patients With Solid Cancer.
  Stephanie Feldman et al. JACC CardioOncol 2023 5(2) 246-255
• Cardiovascular Disease Risk Assessment Using Traditional Risk Factors and Polygenic Risk Scores in the Million Veteran Program.
  Jason L Vassy et al. JAMA Cardiol 2023 5
• Thrombophilia screening in the routine clinical care of children with arterial ischemic stroke.
  Kristin Maher et al. Pediatr Blood Cancer 2023 e30381
• Artificial neural network machine learning prediction of the smoking behavior and health risks perception of Indonesian health professionals.
  Desy Nuryunarsih et al. Environ Anal Health Toxicol 2023 38(1) e2023003-0
• A Hybrid Stacked CNN and Residual Feedback GMDH-LSTM Deep Learning Model for Stroke Prediction Applied on Mobile AI Smart Hospital Platform.
  Bassant M Elbagoury et al. Sensors (Basel) 2023 23(7)
• A machine learning model for visualization and dynamic clinical prediction of stroke recurrence in acute ischemic stroke patients: A real-world retrospective study.
  Kai Wang et al. Front Neurosci 2023 171130831
• Defining the Age of Young Ischemic Stroke Using Data-Driven Approaches.
  Vida Abedi et al. J Clin Med 2023 12(7)
• Prediction of blood pressure variability during thrombectomy using supervised machine learning and outcomes of patients with ischemic stroke from large vessel occlusion.
  Daniel Najafali et al. J Thromb Thrombolysis 2023
• Stroke, Myocardial Infarction, and Pulmonary Embolism after Bivalent Booster.
  Marie-Joelle Jabagi et al. N Engl J Med 2023 3 (15) 1431-1432
• Genetic Susceptibility to Mood Disorders and Risk of Stroke: A Polygenic Risk Score and Mendelian Randomization Study.
  Jiangming Sun et al. Stroke 2023
• Using Deep-Learning-Based Artificial Intelligence Technique to Automatically Evaluate the Collateral Status of Multiphase CTA in Acute Ischemic Stroke.
  Chun-Chao Huang et al. Tomography (Ann Arbor, Mich.) 2023 9(2) 647-656
• Development and validation of machine learning-based model for mortality prediction in patients with acute basilar artery occlusion receiving endovascular treatment: multicentric cohort analysis.
  Chang Liu et al. Journal of neurointerventional surgery 2023
• Assessing the performance of genetic risk score for stratifying risk of post-sepsis cardiovascular complications.
  Brian McElligott et al. Frontiers in cardiovascular medicine 2023 101076745
• Impact of Genetic polymorphisms on the risk of epilepsy amongst patients with acute brain injury: a systematic review.
  Shubham Misra et al. European journal of neurology 2023
• Predicting Pain in People With Sickle Cell Disease in the Day Hospital Using the Commercial Wearable Apple Watch: Feasibility Study.
  Rebecca Sofia Stojancic et al. JMIR formative research 2023 7e45355

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