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| http://dx.doi.org/10.3978/j.issn.2305-5839.2015.03.05 | DOI Listing |
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View Article and Find Full Text PDFA New Deep Learning-Based Method for Automated Identification of Thoracic Lymph Node Stations in Endobronchial Ultrasound (EBUS): A Proof-of-Concept Study.
J Imaging
January 2025
Clinic of Medicine, Nord-Trøndelag Hospital Trust, Levanger Hospital, 7601 Levanger, Norway.
Endobronchial ultrasound-guided transbronchial needle aspiration (EBUS-TBNA) is a cornerstone in minimally invasive thoracic lymph node sampling. In lung cancer staging, precise assessment of lymph node position is crucial for clinical decision-making. This study aimed to demonstrate a new deep learning method to classify thoracic lymph nodes based on their anatomical location using EBUS images.
View Article and Find Full Text PDFRobotic Versus Sternotomy, Thoracotomy and Video-Thoracoscopy Approaches for Thymoma Resection: A Comparative Analysis of Short-Term Results.
J Pers Med
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Department of Thoracic Surgery, Sant'Andrea, Hospital, Sapienza University, 00189 Rome, Italy.
. The optimal surgical approach for thymoma resection is still an object of debate. The increasing experience in robotic-assisted thoracic surgery (RATS) has led to the progressive affirmation of this technique as a valid alternative to Sternotomy, Thoracotomy and Video-Assisted Thoracic Surgery (VATS) in this setting.
View Article and Find Full Text PDFLong-Term Oncological Outcomes Related to Lymphadenectomy in Clinical Stage I NSCLC: A Multicenter Retrospective Experience.
Curr Oncol
January 2025
Unit of Thoracic Surgery, Department of Pharmacy and Health and Nutrition Sciences, University of Calabria, 87036 Rende, Italy.
Background: Lymphadenectomy is considered a key part of the radical treatment of resectable lung cancer, although its appropriate extension in early stages is a debated topic due to the great heterogeneity of studies in the literature. This study aims to evaluate the impact of lymphadenectomy extent on survival and recurrence in the treatment of early-stage NSCLC patients undergoing lobectomy and lymph node dissection.
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Artificial Intelligence in Cardiac Surgery: Transforming Outcomes and Shaping the Future.
Clin Pract
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Department of Cardiothoracic Surgery, General University Hospital of Patras, 26504 Patras, Greece.
Artificial intelligence (AI) has emerged as a transformative technology in healthcare, with its integration into cardiac surgery offering significant advancements in precision, efficiency, and patient outcomes. However, a comprehensive understanding of AI's applications, benefits, challenges, and future directions in cardiac surgery is needed to inform its safe and effective implementation. A systematic review was conducted following PRISMA guidelines.
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