AIMC Topic: Vascular Surgical Procedures
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Improved genetic algorithm based on greedy and simulated annealing ideas for vascular robot ordering strategy.
PloS one
Feb 20, 2025
This study presents a comprehensive approach for optimizing the acquisition, utilization, and maintenance of ABLVR vascular robots in healthcare settings. Medical robotics, particularly in vascular treatments, necessitates precise resource allocation...
Artificial intelligence-based, non-invasive assessment of the central aortic pressure in adults after operative or interventional treatment of aortic coarctation.
Open heart
Jan 21, 2025
BACKGROUND: Aortic coarctation (CoA) is a congenital anomaly leading to upper-body hypertension and lower-body hypotension. Despite surgical or interventional treatment, arterial hypertension may develop and contribute to morbidity and mortality. Con...
Large language models can accurately populate Vascular Quality Initiative procedural databases using narrative operative reports.
Journal of vascular surgery
Dec 16, 2024
OBJECTIVE: Participation in the Vascular Quality Initiative (VQI) provides important resources to surgeons, but the ability to do so is often limited by time and data entry personnel. Large language models (LLMs) such as ChatGPT (OpenAI) are examples...
Artificial Intelligence in Diagnosing and Managing Vascular Surgery Patients: An Experimental Study Using the GPT-4 Model.
Annals of vascular surgery
Nov 24, 2024
BACKGROUND: The introduction of artificial intelligence (AI) has led to groundbreaking advancements across many scientific fields. Machine learning algorithms have enabled AI models to learn, adapt, and solve complex problems in previously unimaginab...
Large language models and artificial intelligence chatbots in vascular surgery.
Seminars in vascular surgery
Jun 19, 2024
Natural language processing is a subfield of artificial intelligence that aims to analyze human oral or written language. The development of large language models has brought innovative perspectives in medicine, including the potential use of chatbot...
Assessment of changes in vessel area during needle manipulation in microvascular anastomosis using a deep learning-based semantic segmentation algorithm: A pilot study.
Neurosurgical review
May 9, 2024
Appropriate needle manipulation to avoid abrupt deformation of fragile vessels is a critical determinant of the success of microvascular anastomosis. However, no study has yet evaluated the area changes in surgical objects using surgical videos. The ...
Generative artificial intelligence chatbots may provide appropriate informational responses to common vascular surgery questions by patients.
Vascular
Mar 18, 2024
OBJECTIVES: Generative artificial intelligence (AI) has emerged as a promising tool to engage with patients. The objective of this study was to assess the quality of AI responses to common patient questions regarding vascular surgery disease processe...
Machine learning and decision making in aortic arch repair.
The Journal of thoracic and cardiovascular surgery
Nov 26, 2023
BACKGROUND: Decision making during aortic arch surgery regarding cannulation strategy and nadir temperature are important in reducing risk, and there is a need to determine the best individualized strategy in a data-driven fashion. Using machine lear...
Improved precise guidewire delivery of a cardiovascular interventional surgery robot based on admittance control.
International journal of computer assisted radiology and surgery
Oct 3, 2023
PURPOSE: The development of cardiovascular interventional surgery robots can realize master-slave interventional operations, which will effectively solve the problem of surgeons being injured by X-ray radiation. The delivery accuracy and safety of in...
Learning-Based Multimodal Information Fusion and Behavior Recognition of Vascular Interventionists' Operating Skills.
IEEE journal of biomedical and health informatics
Sep 6, 2023
The operating skills of vascular interventionists have an important impact on the effect of surgery. However, current research on behavior recognition and skills learning of interventionists' operating skills is limited. In this study, an innovative ...
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