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Although automatic artificial intelligence (AI) coronary angiography (CAG) segmentation is arguably the first step toward future clinical application, it is underexplored. We aimed to (1) develop AI models for CAG segmentation and (2) assess the results using similarity scores and a set of criteria defined by expert physicians.Patients undergoing CAG were randomly selected in a retrospective study at a single center. Per incidence, an ideal frame was segmented, forming a baseline human dataset (BH), used for training a baseline AI model (BAI). Enhanced human segmentation (EH) was created by combining the best of both. An enhanced AI model (EAI) was trained using the EH. Results were assessed by experts using 11 weighted criteria, combined into a Global Segmentation Score (GSS: 0-100 points). Generalized Dice Score (GDS) and Dice Similarity Coefficient (DSC) were also used for AI models assessment.1664 processed images were generated. GSS for BH, EH, BAI and EAI were 96.9+/-5.7; 98.9+/-3.1; 86.1+/-10.1 and 90+/-7.6, respectively (95% confidence interval, p0.001 for both paired and global differences). The GDS for the BAI and EAI was 0.9234±0.0361 and 0.9348±0.0284, respectively. The DSC for the coronary tree was 0.8904±0.0464 and 0.9134±0.0410 for the BAI and EAI, respectively. The EAI outperformed the BAI in all coronary segmentation tasks, but performed less well in some catheter segmentation tasks.We successfully developed AI models capable of CAG segmentation, with good performance as assessed by all scores.

Acute aortic dissection is the most common acute aortic syndrome. It is more prevalent in males and in the elderly, and has a high mortality. Hypertension is the main risk factor. Diagnosis is based on clinical features, laboratory tests and imaging exams. Treatment is usually surgical, although in some cases an endovascular approach is an alternative. Paraganglioma is an uncommon neuroendocrine tumor. Most produce catecholamines, and so usually manifest with hypertensive crisis, palpitations, headache and sweating. This tumor is diagnosed by measurement of plasma or urinary catecholamines and by computed tomography, magnetic resonance imaging and