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Last Posted: Apr 06, 2023

• Predicting personal cardiovascular disease risk based on family health history: Development of expert-based family criteria for the general population.
  Tetske Dijkstra et al. European journal of human genetics : EJHG 2023
• Validation of an automated machine learning algorithm for the detection and analysis of cerebral aneurysms.
  Marco Colasurdo et al. Journal of neurosurgery 2023 1-8
• Integrating oculomics with genomics reveals imaging biomarkers for preventive and personalized prediction of arterial aneurysms.
  Yu Huang et al. The EPMA journal 2023 14(1) 73-86
• The Role of Genetic Testing in Patients with Heritable Thoracic Aortic Diseases.
  Emanuele Monda et al. Diagnostics (Basel, Switzerland) 2023 13(4)
• The role of aldehyde dehydrogenase 2 in cardiovascular disease.
  Jian Zhang et al. Nature reviews. Cardiology 2023
• Rupture discrimination of multiple small (< 7 mm) intracranial aneurysms based on machine learning-based cluster analysis.
  Xin Tong et al. BMC neurology 2023 23(1) 45
• Can We Explain Machine Learning-based Prediction For Rupture Status Assessments of Intracranial Aneurysms?
  Mu Nan et al. Biomedical physics & engineering express 2023
• The Use of Surgical Augmented Intelligence Maps Can Reduce Radiation and Improve Safety in the Endovascular Treatment of Complex Aortic Aneurysms.
  Patel Rohini J et al. Journal of vascular surgery 2022
• Evaluating feasibility of using national registries for identification, invitation, and ultrasound examination of persons with hereditary risk for aneurysm disease-detecting abdominal aortic aneurysms in first degree relatives (adult offspring) to AAA patients (DAAAD).
  Hultgren Rebecka et al. Pilot and feasibility studies 2022 8(1) 252
• Detection of cerebral aneurysms using artificial intelligence: a systematic review and meta-analysis.
  Din Munaib et al. Journal of neurointerventional surgery 2022
• HTAADVar: Aggregation and fully automated clinical interpretation of genetic variants in heritable thoracic aortic aneurysm and dissection.
  Zhou Wei-Zhen et al. Genetics in medicine : official journal of the American College of Medical Genetics 2022
• A machine learning model for non-invasive detection of atherosclerotic coronary artery aneurysm.
  Rostam-Alilou Ali A et al. International journal of computer assisted radiology and surgery 2022
• Cerebral Angiography under Artificial Intelligence Algorithm in the Design of Nursing Cooperation Plan for Intracranial Aneurysm Patients in Craniotomy Clipping.
  Xu Wenhui et al. Computational and mathematical methods in medicine 2022 20222182931
• Prediction of abdominal aortic aneurysm growth by artificial intelligence taking into account clinical, biologic, morphologic, and biomechanical variables.
  Kontopodis Nikolaos et al. Vascular 2022 17085381221077821
• Establishment of a Dedicated Inherited Cardiomyopathy Clinic: From Challenges to Improved Patients' Outcome.
  Smith Emily et al. Journal of the American Heart Association 2022 e024501
• Genetic and clinical determinants of abdominal aortic diameter: genome-wide association studies, exome array data and Mendelian randomization study.
  Portilla-Fernandez Eliana et al. Human molecular genetics 2022
• Deep Learning in the Management of Intracranial Aneurysms and Cerebrovascular Diseases: A Review of the Current Literature.
  Mensah Emmanuel et al. World neurosurgery 2022
• Multidimensional Deep Learning Reduces False-Positives in the Automated Detection of Cerebral Aneurysms on Time-Of-Flight Magnetic Resonance Angiography: A Multi-Center Study.
  Terasaki Yuki et al. Frontiers in neurology 2022 12742126
• Development and Validation of a Predictive Model to Identify Patients With an Ascending Thoracic Aortic Aneurysm.
  Mori Makoto et al. Journal of the American Heart Association 2021 e022102
• Screening for Abdominal Aortic Aneurysms and Risk Factors in 65-Year-Old Men in Oslo, Norway.
  Rabben Toril et al. Vascular health and risk management 2021 17561-570

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