Current Applications and Future Perspectives of Artificial and Biomimetic Intelligence in Vascular Surgery and Peripheral Artery Disease.

Artificial Intelligence (AI) made its first appearance in 1956, and since then it has progressively introduced itself in healthcare systems and patients' information and care. AI functions can be grouped under the following headings: Machine Learning (ML), Deep Learning (DL), Artificial Neural Network (ANN), Convolutional Neural Network (CNN), Computer Vision (CV). Biomimetic intelligence (BI) applies the principles of systems of nature to create biological algorithms, such as genetic and neural network, to be used in different scenarios. Chronic limb-threatening ischemia (CLTI) represents the last stage of peripheral artery disease (PAD) and has increased over recent years, together with the rise in prevalence of diabetes and population ageing. Nowadays, AI and BI grant the possibility of developing new diagnostic and treatment solutions in the vascular field, given the possibility of accessing clinical, biological, and imaging data. By assessing the vascular anatomy in every patient, as well as the burden of atherosclerosis, and classifying the level and degree of disease, sizing and planning the best endovascular treatment, defining the perioperative complications risk, integrating experiences and resources between different specialties, identifying latent PAD, thus offering evidence-based solutions and guiding surgeons in the choice of the best surgical technique, AI and BI challenge the role of the physician's experience in PAD treatment.

Angiotensin receptor-neprilysin inhibitor in symptomatic patients with Duchenne dilated cardiomyopathy: A primetime.

AIMS: Duchenne muscular dystrophy (DMD) is an X-linked recessive neuromuscular disorder, characterized by significant long-term cardiac involvement. Dilated cardiomyopathy (DCM) is the main cause of death in DMD, and angiotensin-converting enzyme inhibitors (ACEi) and beta-blockers (BB) are first-line treatments in DCM. It is unknown whether angiotensin receptor-neprilysin inhibitor (ARNi) could provide greater benefits in this setting. Our aim is to assess whether ARNi use may prevent deterioration in ejection fraction (EF) or is associated with EF improvement compared with ACEi in DMD patients with heart failure and to report the tolerability of ARNi in this group of patients. METHODS AND RESULTS: We followed 22 DMD patients, 6 of them with an EF < 40% and 16 with an EF > 40%. The first group received ARNi on top of BB, while the control group started or continued first-line therapy with ACEi ± BB. From December 2016 to December 2021, we recorded EF values at baseline and at follow-up, comparing EF changes. Median follow-up was 7 months (interquartile range 4.7-9.1). At baseline, the mean of EF (%) in the ARNi group was 31 ± 2%, while it was 59 ± 9% in the control group. At follow-up, we recorded an EF improvement in the ARNi group (38 ± 6%, P-value < 0.05). Among controls, EF at follow-up was substantially unchanged from baseline. CONCLUSIONS: Our data suggest that the use of ARNi in DMD patients with DCM and an EF < 40% might be associated with an EF improvement and a safe tolerability profile.

Comprehensive functional and anatomic assessment of myocardial bridging: Unlocking the Gordian Knot.

Myocardial bridging (MB) is the most frequent congenital coronary anomaly in which a segment of an epicardial coronary artery takes a tunneled course under a bridge of the myocardium. This segment is compressed during systole, resulting in the so-called "milking effect" at coronary angiography. As coronary blood flow occurs primarily during diastole, the clinical relevance of MB is heterogeneous, being usually considered an asymptomatic bystander. However, many studies have suggested its association with myocardial ischemia, anginal symptoms, and adverse cardiac events. The advent of contemporary non-invasive and invasive imaging modalities and the standardization of intracoronary functional assessment tools have remarkably improved our understanding of MB-related ischemia, suggesting the role of atherosclerotic lesions proximal to MB, vasomotor disorders and microvascular dysfunction as possible pathophysiological substrates. The aim of this review is to provide a contemporary overview of the pathophysiology and of the non-invasive and invasive assessment of MB, in the attempt to implement a case-by-case therapeutic approach according to the specific endotype of MB-related ischemia.