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Endovascular procedures have revolutionized vascular disease treatment, yet their manual execution is challenged by the demands for high precision, operator fatigue, and radiation exposure. Robotic systems have emerged as transformative…

Cardiovascular diseases remain the leading cause of global mortality, with minimally invasive treatment options offered through endovascular interventions. However, the precision and adaptability of current robotic systems for endovascular…

Robotics · Computer Science 2025-12-25 Tudor Jianu

Endovascular guidewire manipulation is essential for minimally-invasive clinical applications (Percutaneous Coronary Intervention (PCI), Mechanical thrombectomy techniques for acute ischemic stroke (AIS), or Transjugular intrahepatic…

Robotics · Computer Science 2023-04-20 Young-Ho Kim , Èric Lluch , Gulsun Mehmet , Florin C. Ghesu , Ankur Kapoor

Autonomous robots for endovascular interventions hold significant potential to enhance procedural safety and reliability by navigating guidewires with precision, minimizing human error, and reducing surgical time. However, existing methods…

Robotics · Computer Science 2025-02-28 Wentao Liu , Weijin Xu , Xiaochuan Li , Bowen Liang , Ziyang He , Mengke Zhu , Jingzhou Song , Huihua Yang , Qingsheng Lu

Endovascular interventions are a life-saving treatment for many diseases, yet suffer from drawbacks such as radiation exposure and potential scarcity of proficient physicians. Robotic assistance during these interventions could be a…

Recent advancements in artificial intelligence (AI) have revolutionized cardiovascular medicine, particularly through integration with computed tomography (CT), magnetic resonance imaging (MRI), electrocardiography (ECG) and ultrasound…

Computer Vision and Pattern Recognition · Computer Science 2025-06-05 Yuanlin Mo , Haishan Huang , Bocheng Liang , Weibo Ma

Artificial intelligence (AI) has emerged as a powerful tool to enhance decision-making and optimize treatment protocols in in vitro fertilization (IVF). In particular, AI shows significant promise in supporting decision-making during the…

Image and Video Processing · Electrical Eng. & Systems 2024-12-30 Jana Zakall , Birgit Pohn , Antonia Graf , Daniel Kovatchki , Arezoo Borji , Ragib Shahriar Islam , Hossam Haick , Heinz Strohmer , Sepideh Hatamikia

Recent advancements in Artificial Intelligence (AI) have significantly influenced the field of Cardiovascular Disease (CVD) analysis, particularly in image-based diagnostics. Our paper presents an extensive review of AI applications in…

Image and Video Processing · Electrical Eng. & Systems 2025-12-12 Xin Wang , Mingcheng Hu , Connie W. Tsao , Hongtu Zhu

Purpose: Most studies evaluating artificial intelligence (AI) models that detect abnormalities in neuroimaging are either tested on unrepresentative patient cohorts or are insufficiently well-validated, leading to poor generalisability to…

Image and Video Processing · Electrical Eng. & Systems 2024-05-10 Siddharth Agarwal , David A. Wood , Mariusz Grzeda , Chandhini Suresh , Munaib Din , James Cole , Marc Modat , Thomas C Booth

Increased demand for less invasive procedures has accelerated the adoption of Intraluminal Procedures (IP) and Endovascular Interventions (EI) performed through body lumens and vessels. As navigation through lumens and vessels is quite…

Artificial intelligence (AI) methodologies hold great promise for the rapid and accurate diagnosis of coronary artery disease (CAD) from intravascular optical coherent tomography (IVOCT) images. Numerous papers have been published…

Image and Video Processing · Electrical Eng. & Systems 2025-02-03 Xu Chen , Yuan Huang , Benn Jessney , Jason Sangha , Sophie Gu , Carola-Bibiane Schönlieb , Martin Bennett , Michael Roberts

Coronary Computed Tomography Angiography (CCTA) evaluation of chest-pain patients in an Emergency Department (ED) is considered appropriate. While a negative CCTA interpretation supports direct patient discharge from an ED, labor-intensive…

Background: Cardiovascular diseases (CVDs) are the leading cause of death globally. The use of artificial intelligence (AI) methods - in particular, deep learning (DL) - has been on the rise lately for the analysis of different CVD-related…

Purpose: Autonomous navigation of catheters and guidewires can enhance endovascular surgery safety and efficacy, reducing procedure times and operator radiation exposure. Integrating tele-operated robotics could widen access to…

Machine Learning · Computer Science 2024-06-19 Harry Robertshaw , Lennart Karstensen , Benjamin Jackson , Alejandro Granados , Thomas C. Booth

The main goal from this study is to discuss the main features of Artificial intelligence (AI) as well as their applicability for early cardiovascular Disease (CVDs) Detection, Material and Method : Systematic review approach Results : It…

In endovascular surgery, endovascular interventionists push a thin tube called a catheter, guided by a thin wire to a treatment site inside the patient's blood vessels to treat various conditions such as blood clots, aneurysms, and…

Artificial Intelligence (AI) is revolutionizing emergency medicine by enhancing diagnostic processes and improving patient outcomes. This article provides a review of the current applications of AI in emergency imaging studies, focusing on…

Image and Video Processing · Electrical Eng. & Systems 2025-03-20 Gustavo Correia , Victor Alves , Paulo Novais

Remote robotic-assisted endovascular intervention offers a promising approach to reduce clinician radiation exposure and physical strain, while extending specialized vascular care to geographically distant regions. Despite advancements,…

Purpose: The treatment of cardiovascular diseases requires complex and challenging navigation of a guidewire and catheter. This often leads to lengthy interventions during which the patient and clinician are exposed to X-ray radiation. Deep…

Machine Learning · Computer Science 2024-03-06 Valentina Scarponi , Michel Duprez , Florent Nageotte , Stéphane Cotin

Ultrasound imaging of the heart (echocardiography) is widely used to diagnose cardiac diseases. However, obtaining an echocardiogram requires an expert sonographer and a high-quality ultrasound imaging device, which are generally only…

Computer Vision and Pattern Recognition · Computer Science 2025-04-18 Andy Dimnaku , Dominic Yurk , Zhiyuan Gao , Arun Padmanabhan , Mandar Aras , Yaser Abu-Mostafa
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