Accès ouvert
2025
article
OpenAlex
Adham Ahmed, Irbaz Hameed, Samantha Colon, Sriharsha Talapaneni et autres
BACKGROUND: Type IIIa endoleaks are rare but critical complications of endovascular thoracoabdominal aortic repair, arising from graft component separation and requiring urgent intervention to prevent aneurysm sac enlargement and rupture. CASE SUMMARY: We present a 75-year-old man with a Crawford extent II …
us
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2025
review
OpenAlex
Adham Ahmed, Samantha Colon, Jonathan Yohannan, R. Koshy et autres
us
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Accès ouvert
2025
article
OpenAlex
Irbaz Hameed, Asad Saulat Fatimi, Akbar Bazarbaev, Sedem Dankwa et autres
Objective: Large-scale multicenter databases are foundational to observational research in cardiac surgery, enabling robust analysis of clinical outcomes, practice patterns, and population-level trends. We characterize the databases most frequently used in contemporary cardiac surgery outcomes research. Methods: We reviewed all retrospective observational …
us
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Accès ouvert
2025
article
OpenAlex
Adham Ahmed, Samantha Colon, Gianna J. Dafflisio, Nina Uzoigwe et autres
Objective: Cardiothoracic surgery requires mastery of a broad knowledge base and advanced skillset to manage critically ill patients. Although competency-based assessment frameworks have been developed in several specialties, there remains a paucity of resources to guide practical progression for early cardiothoracic surgical …
us
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2025
article
OpenAlex
Irbaz Hameed, Ayesha Mubasher, Chanseo Lee, Gregory J. Berry et autres
OBJECTIVES: As the utilization of thoracic endovascular aortic repair for descending thoracic aorta and aortic arch pathologies continues to increase, several reports have demonstrated negative left ventricular remodelling after thoracic endovascular aortic repair. Left ventricular remodelling with greater proximal extension of thoracic …
us
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2025
article
OpenAlex
Adham Ahmed, Samantha Colon, Theresa Ermer, Irbaz Hameed
us
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2025
conference-paper
OpenAlex
Ali E. Takieldeen, Noor Hossam, Osama Elkassaby, Mohamed Ahmed Awad et autres
This paper introduces an innovative framework designed to bolster the security of large language models (LLMs) and source code through automated penetration testing and vulnerability analysis. By integrating natural language processing (NLP) and machine learning, the proposed system overcomes the shortcomings of …
Égypte
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Accès ouvert
2025
article
OpenAlex
Irbaz Hameed, Akbar Bazarbaev, Nyle Khalid Bajwa, Samantha Colon et autres
us
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Accès ouvert
2025
article
OpenAlex
Adham Ahmed, Tara Ranjbar, Samantha Colon, Branden Tejada et autres
Bariatric surgery is the most effective treatment option for patients with refractory morbid obesity to help facilitate weight-loss and reduce long-term metabolic morbidity and mortality. Over 200,000 procedures are performed annually in the United States with sleeve gastrectomy being the most common …
us
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Accès ouvert
2025
article
OpenAlex
Shanique A. Ries, Emily June Zolfaghari, Adrian Acuna Higaki, Justin A. Olivera et autres
Objective The aim of this study was to characterize the failures of professional scholarly discourse at a national cardiothoracic surgical meeting, with particular attention directed toward gender-related inequities in treatment. Methods During the 2024 Society of Thoracic Surgery Annual Meeting, we used …
us
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Accès ouvert
2025
article
OpenAlex
Irbaz Hameed, Adham Ahmed, Christina J. Waldron, Percy T Algarate et autres
BACKGROUND: Despite strong recommendations from multiple societies to pursue durable mitral valve repair (MVr), repair rates and outcomes remain inconsistent across the world. This is partly due to limited surgeon and center experience and lack of centralization of care for this technically …
us, nl
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Accès ouvert
2025
preprint
OpenAlex
Devina Chatterjee, Nicholas T. Obey, Benjamin L. Shou, Adham Ahmed et autres
Abstract Objectives The rising global burden of cardiovascular diseases (CV) highlights the critical need for efficiency in disease diagnosis and management. An important area for such improvement is utilization of artificial intelligence (AI) for streamlining time and resources in CV imaging workflow. …
us
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