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Purpose: The goal of the study described in this protocol is to build a multimodal artificial intelligence (AI) model to predict abdominal aortic aneurysm (AAA) shrinkage 1 year after endovascular aneurysm repair (EVAR).

Methods: In this retrospective observational multicenter study, approximately 1000 patients will be enrolled from hospital records of 5 experienced vascular centers. Patients will be included if they underwent elective EVAR for infrarenal AAA with initial assisted technical success and had imaging available of the same modality preoperatively and at 1-year follow-up (CTA-CTA or US-US).

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Background: Guideline-recommended strategies to interrupt chronic anticoagulation with warfarin or direct oral anticoagulants (DOAC) during the perioperative period of cardiac implantable electronic device (CIED) surgery differ worldwide. There is uncertainty concerning the benefits and harms of interrupted and uninterrupted anticoagulation in patients undergoing CIED surgery.

Objectives: To assess the benefits and harms of interrupted anticoagulation (IAC) with either warfarin or DOAC in the perioperative period of CIED surgery versus uninterrupted anticoagulation (UAC), with or without heparin bridging, during an equivalent time frame, for CIED surgery.

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Imaging of Acute Pulmonary Embolism: An Update.

Radiol Clin North Am

March 2025

Department of Radiology, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA; Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.

Imaging is essential in the evaluation and management of acute pulmonary embolism. Advances in multi-energy CT including dual-energy CT and photon-counting CT have allowed faster scans with lower radiation dose and optimal quality. Artificial intelligence has a potential role in triaging potentially positive examinations and could serve as a second reader.

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Venous thromboembolism (VTE), including deep vein thrombosis (DVT) and pulmonary embolism (PE), continues to pose significant clinical challenges despite advancements in medical care. Artificial intelligence (AI) presents promising opportunities to enhance the diagnosis, prediction, and management of VTE. This review examines the transformative potential of AI in thrombosis care, highlighting both the potential benefits and the challenges that need to be addressed.

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This case report describes a surgical treatment combined with interventional therapy for a patient with refractory hemodialysis access combined with catheter-related right atrial thrombosis (CRAT). During surgery, an artificial graft was established from the left brachiocephalic vein to the right atrium and the right atrial thrombus was removed. After the operation, the tunneled cuffed catheter (TCC) was replaced with digital subtraction angiography (DSA).

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