Publications by authors named "Eduardo Cavallo"
Cerebral arteriovenous malformations (AVMs) are rare vascular anomalies associated with a risk of devastating intracerebral hemorrhage. They are often diagnosed following the appearance of seizures, focal neurological signs, or bleeding. In such cases endovascular embolization, which aims to occlude the AVM nidus and reduce risk of hemorrhage, has become a crucial therapeutic approach.
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- The Manta Vascular Closure Device, designed for closing large-bore arterial accesses, was evaluated to see if it performs as well as the ProGlide device in terms of achieving hemostasis after endovascular procedures.
- A retrospective study was conducted on 524 cases of (T)EVAR procedures between January 2021 and April 2023, comparing outcomes of 355 procedures using Manta versus 169 using ProGlide.
- Results showed similar complication rates and effectiveness for both devices, although Manta had a statistically larger sheath size, indicating that both are viable options for vascular closure.
Article Synopsis
- AI has evolved since its introduction in 1956 and is now significantly impacting healthcare, especially in patient care and information management.
- Key AI functions like Machine Learning and Deep Learning, along with Biomimetic Intelligence, are being utilized to analyze medical data and create algorithms for better diagnosis and treatments.
- The rising incidence of chronic limb-threatening ischemia due to diabetes and aging populations presents a challenge that AI and BI can help address by improving treatment planning and resource integration for peripheral artery disease.
Sectoral Productivity Growth, COVID-19 Shocks, and Infrastructure.
Econ Disaster Clim Chang
January 2022
Unlabelled: This paper examines sectoral productivity shocks of the COVID-19 pandemic, their aggregate impact, and the possible compensatory effects of improving productivity in infrastructure-related sectors. We employ the KLEMS annual dataset for a group of OECD and Latin America and the Caribbean countries, complemented with high-frequency data for 2020. First, we estimate a panel vector autoregression of growth rates in sector level labor productivity to specify the nature and size of sectoral shocks using the historical data.
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