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Precision Health Database


Precision Health Database|Search|PHGKB

Heart, Lung, Blood and Sleep Disorders

Last data update: Jun 01, 2023. (Total: 60046 Documents since 2012)
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Records 1 - 24 (of 24 Records)

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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
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
Detection of cerebral aneurysms using artificial intelligence: a systematic review and meta-analysis.
Din Munaib et al. Journal of neurointerventional surgery 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
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
Artificial intelligence and machine learning in aortic disease.
Hahn Lewis D et al. Current opinion in cardiology 2021
Machine learning approaches to surrogate multifidelity Growth and Remodeling models for efficient abdominal aortic aneurysmal applications.
Jiang Zhenxiang et al. Computers in biology and medicine 2021 133104394
A preliminary investigation of radiomics differences between ruptured and unruptured intracranial aneurysms.
Ou Chubin et al. European radiology 2020 Oct
Artificial intelligence enabled applications in kidney disease.
Chaudhuri Sheetal et al. Seminars in dialysis 2020 Sep
Prediction, pattern recognition and modelling of complications post-endovascular infra renal aneurysm repair by artificial intelligence.
Kordzadeh Ali et al. Vascular 2020 Aug 1708538120949658
A pilot study using a machine-learning approach of morphological and hemodynamic parameters for predicting aneurysms enhancement.
Lv Nan et al. International journal of computer assisted radiology and surgery 2020 Jun
Stability Assessment of Intracranial Aneurysms Using Machine Learning Based on Clinical and Morphological Features.
Zhu Wei et al. Translational stroke research 2020 May
Prediction of Intracranial Aneurysm Risk using Machine Learning.
Heo Jaehyuk et al. Scientific reports 2020 Apr 10(1) 6921
Artificial intelligence in abdominal aortic aneurysm.
Raffort Juliette et al. Journal of vascular surgery 2020 Feb
Feasibility study for use of angiographic parametric imaging and deep neural networks for intracranial aneurysm occlusion prediction.
Shiraz Bhurwani Mohammad Mahdi et al. Journal of neurointerventional surgery 2019 Dec
Outcome prediction of intracranial aneurysm treatment by flow diverters using machine learning.
Paliwal Nikhil et al. Neurosurgical focus 2018 45(5) E7
Novel Machine Learning Approach to Identify Preoperative Risk Factors Associated With Super-Utilization of Medicare Expenditure Following Surgery.
Hyer J Madison et al. JAMA surgery 2019 Aug
Fully automatic detection and segmentation of abdominal aortic thrombus in post-operative CTA images using Deep Convolutional Neural Networks.
López-Linares Karen et al. Medical image analysis 2018 46202-214
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