Results 131 to 140 of about 603,923 (360)

Endovascular treatment of atherosclerotic popliteal artery disease based on dynamic angiography findings [PDF]

open access: bronze, 2016
Chaoyi Cui   +7 more
openalex   +1 more source

Prospective, Multicenter Evaluation of Transcarotid Artery Revascularization in Standard‐Risk Patients: 30‐Day Outcomes of the ROADSTER 3 Study

open access: yesAnnals of Neurology, EarlyView.
Objective To evaluate the real‐world safety and efficacy for standard surgical risk patients with extracranial internal carotid artery disease undergoing transcarotid artery revascularization. Methods ROADSTER 3 is a prospective, multicenter, single‐arm post‐approval study.
Jeffrey Jim   +15 more
wiley   +1 more source

Aneurysm Wall Enhancement and Probability of Instability in Unruptured Intracranial Aneurysms: A Long‐Term Follow‐Up Study

open access: yesAnnals of Neurology, EarlyView.
Objective Aneurysm wall enhancement (AWE) may predict aneurysm growth and rupture in the short‐term, but there is a lack of long‐term follow‐up studies. We aimed to determine whether unruptured intracranial aneurysms (UIAs) with AWE have a higher probability of aneurysm instability during long‐term follow‐up compared with those without AWE. Methods For
Laura T. van der Kamp   +9 more
wiley   +1 more source

Hypo-attenuating Berry Sign as a Novel Imaging Marker of Ruptured Aneurysm in Patients with Subarachnoid Hemorrhage; a Diagnostic Accuracy Study

open access: yesArchives of Academic Emergency Medicine
Introduction: Aneurysmal subarachnoid hemorrhage (SAH) constitutes a life-threatening condition, and identifying the ruptured aneurysm is essential for further therapy. This study aimed to evaluate the diagnostic accuracy of hypo-attenuating berry sign (
Xin-Wei zhou   +9 more
doaj   +1 more source

Machine learning methods for predicting adverse drug events: A systematic review

open access: yesBritish Journal of Clinical Pharmacology, EarlyView.
Abstract Predicting adverse drug events (ADEs) in outpatient settings is crucial for improving medication safety, identifying high‐risk patients and reducing health‐care costs. While traditional methods struggle with the complexity of health‐care data, machine learning (ML) models offer improved prediction capabilities; however, their effectiveness in ...
Niaz Chalabianloo   +8 more
wiley   +1 more source

Nanostructured drug delivery systems for posterior segment eye diseases: Strategies to defy ocular barriers

open access: yesBMEMat, EarlyView.
Efficient drug delivery to the posterior segment of the eye has long been a challenging issue due to the complex ocular barriers. The review focuses on the promise held by nanoplatforms for barrier penetration and the key mechanisms involved, also highlighting their advantages in achieving efficient drug delivery and superior treatment of PSEDs ...
Yifan Shen   +7 more
wiley   +1 more source

Factors associated with cardiovascular events after simultaneous liver–kidney transplant from the US Multicenter Simultaneous Liver–Kidney Transplant Consortium

open access: yesHepatology Communications, EarlyView., 2022
Abstract Cardiovascular disease is a leading complication after both liver and kidney transplantation. Factors associated with and rates of cardiovascular events (CVEs) after simultaneous liver–kidney transplant (SLKT) are unknown. This was a retrospective cohort study of adult SLKT recipients between 2002 and 2017 at six centers in six United Network ...
Jennifer Jo   +19 more
wiley   +1 more source

Contemporary NSTEMI management: the role of the hospitalist. [PDF]

open access: yes, 2019
Non-ST-segment elevation myocardial infarction (NSTEMI) is defined as elevated cardiac biomarkers of necrosis in the absence of persistent ST-segment elevation in the setting of anginal symptoms or other acute event.
Amin, Alpesh   +9 more
core   +1 more source

Artificial intelligence‐enabled digital biomedical engineering

open access: yesBMEMat, EarlyView.
This review presents a comprehensive overview, emphasizing the critical role of artificial intelligence (AI) in biomedical engineering. It further explores the implications of AI for future biomedical research and clinical practice, aiming to provide theoretical insights for academic investigation and technological innovation in the field.
Peiran Song   +6 more
wiley   +1 more source

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