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Machine learning applications in stroke medicine:advancements,challenges,and future prospectives 被引量:6
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作者 Mario Daidone Sergio Ferrantelli antonino tuttolomondo 《Neural Regeneration Research》 SCIE CAS CSCD 2024年第4期769-773,共5页
Stroke is a leading cause of disability and mortality worldwide,necessitating the development of advanced technologies to improve its diagnosis,treatment,and patient outcomes.In recent years,machine learning technique... Stroke is a leading cause of disability and mortality worldwide,necessitating the development of advanced technologies to improve its diagnosis,treatment,and patient outcomes.In recent years,machine learning techniques have emerged as promising tools in stroke medicine,enabling efficient analysis of large-scale datasets and facilitating personalized and precision medicine approaches.This abstract provides a comprehensive overview of machine learning’s applications,challenges,and future directions in stroke medicine.Recently introduced machine learning algorithms have been extensively employed in all the fields of stroke medicine.Machine learning models have demonstrated remarkable accuracy in imaging analysis,diagnosing stroke subtypes,risk stratifications,guiding medical treatment,and predicting patient prognosis.Despite the tremendous potential of machine learning in stroke medicine,several challenges must be addressed.These include the need for standardized and interoperable data collection,robust model validation and generalization,and the ethical considerations surrounding privacy and bias.In addition,integrating machine learning models into clinical workflows and establishing regulatory frameworks are critical for ensuring their widespread adoption and impact in routine stroke care.Machine learning promises to revolutionize stroke medicine by enabling precise diagnosis,tailored treatment selection,and improved prognostication.Continued research and collaboration among clinicians,researchers,and technologists are essential for overcoming challenges and realizing the full potential of machine learning in stroke care,ultimately leading to enhanced patient outcomes and quality of life.This review aims to summarize all the current implications of machine learning in stroke diagnosis,treatment,and prognostic evaluation.At the same time,another purpose of this paper is to explore all the future perspectives these techniques can provide in combating this disabling disease. 展开更多
关键词 cerebrovascular disease deep learning machine learning reinforcement learning STROKE stroke therapy supervised learning unsupervised learning
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Diabetic foot syndrome:Immune-inflammatory features as possible cardiovascular markers in diabetes 被引量:38
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作者 antonino tuttolomondo Carlo Maida Antonio Pinto 《World Journal of Orthopedics》 2015年第1期62-76,共15页
Diabetic foot ulcerations have been extensively reported as vascular complications of diabetes mellitus associated with a high degree of morbidity and mortality. Diabetic foot syndrome(DFS), as defined by the World He... Diabetic foot ulcerations have been extensively reported as vascular complications of diabetes mellitus associated with a high degree of morbidity and mortality. Diabetic foot syndrome(DFS), as defined by the World Health Organization, is an "ulceration of the foot(distally from the ankle and including the ankle) associated with neuropathy and different grades of ischemia and infection". Pathogenic events able to cause diabetic foot ulcers are multifactorial.Among the commonest causes of this pathogenic pathway it's possible to consider peripheral neuropathy, foot deformity, abnormal foot pressures, abnormal joint mobility, trauma, peripheral artery disease. Several studies reported how diabetic patients show a higher mortality rate compared to patients without diabetes and in particular these studies under filled how cardiovascular mortality and morbidity is 2-4 times higher among patients affected by type 2 diabetes mellitus. This higher degree of cardiovascular morbidity has been explained as due to the observed higher prevalence of major cardiovascular risk factor, of asymptomatic findings of cardiovascular diseases, and of prevalence and incidence of cardiovascular and cerebrovascular events in diabetic patients with foot complications. In diabetes a fundamental pathogenic pathway of most of vascular complications has been reported as linked to a complex interplay of inflammatory, metabolic and procoagulant variables. These pathogenetic aspects have a direct interplay with an insulin resistance, subsequent obesity, diabetes, hypertension, prothrombotic state and blood lipid disorder. Involvement of inflammatory markers such as IL-6 plasma levels and resistin in diabetic subjects as reported by Tuttolomondo et al confirmed the pathogenetic issue of the a "adipo-vascular" axis that may contribute to cardiovascular risk in patients with type 2 diabetes. This "adipo-vascular axis" in patients with type 2 diabetes has been reported as characterized by lower plasma levels of adiponectin and higher plasma levels of interleukin-6 thus linking foot ulcers pathogenesis to microvascular and inflammatory events. The purpose of this review is to highlight the immune inflammatory features of DFS and its possible role as a marker of cardiovascular risk in diabetes patients and to focus the management of major complications related to diabetes such as infections and peripheral arteriopathy. 展开更多
关键词 DIABETIC FOOT syndrome Inflammation CYTOKINES CARDIOVASCULAR risk Marker
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Non-coding RNAs and other determinants of neuroinflammation and endothelial dysfunction:regulation of gene expression in the acute phase of ischemic stroke and possible therapeutic applications 被引量:12
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作者 Mario Daidone Marco Cataldi +1 位作者 Antonio Pinto antonino tuttolomondo 《Neural Regeneration Research》 SCIE CAS CSCD 2021年第11期2154-2158,共5页
Ischemic stroke occurs under a variety of clinical conditions and has different pathogeneses,resulting in necrosis of brain parenchyma.Stroke pathogenesis is characterized by neuroinflammation and endothelial dysfunct... Ischemic stroke occurs under a variety of clinical conditions and has different pathogeneses,resulting in necrosis of brain parenchyma.Stroke pathogenesis is characterized by neuroinflammation and endothelial dysfunction.Some of the main processes triggered in the early stages of ischemic damage are the rapid activation of resident inflammatory cells(microglia,astrocytes and endothelial cells),inflammatory cytokines,and translocation of intercellular nuclear factors.Inflammation in stroke includes all the processes mentioned above,and it consists of either protective or detrimental effects concerning the“polarization”of these processes.This polarization comes out from the interaction of all the molecular pathways that regulate genome expression:the epigenetic factors.In recent years,new regulation mechanisms have been cleared,and these include non-coding RNAs,adenosine receptors,and the activity of mesenchymal stem/stromal cells and microglia.We reviewed how long non-coding RNA and microRNA have emerged as an essential mediator of some neurological diseases.We also clarified that their roles in cerebral ischemic injury may provide novel targets for the treatment of ischemic stroke.To date,we do not have adequate tools to control pathophysiological processes associated with stroke.Our goal is to review the role of non-coding RNAs and innate immune cells(such as microglia and mesenchymal stem/stromal cells)and the possible therapeutic effects of their modulation in patients with acute ischemic stroke.A better understanding of the mechanisms that influence the“polarization”of the inflammatory response after the acute event seems to be the way to change the natural history of the disease. 展开更多
关键词 acute phase cerebrovascular disease endothelial dysfunction EPIGENETICS GENETICS neuroiflammation non-coding RNAs STROKE
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When sepsis affects the heart: A case report and literature review 被引量:5
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作者 Giuseppe Clemente antonino tuttolomondo +6 位作者 Daniela Colomba Rosaria Pecoraro Chiara Renda Vittoriano Della Corte Carlo Maida Irene Simonetta Antonio Pinto 《World Journal of Clinical Cases》 SCIE 2015年第8期743-750,共8页
A 59-year-old nursing home patient with Down syndrome was brought to the internal medicine department of our hospital due to fever, cough without expectorate, and dyspnea. A thoracic computed tomography revealed the p... A 59-year-old nursing home patient with Down syndrome was brought to the internal medicine department of our hospital due to fever, cough without expectorate, and dyspnea. A thoracic computed tomography revealed the presence of bilateral basal parenchymal opacities. Her condition deteriorated after admission and troponin reached a peak serum concentration of 16.9 ng/m L. The patient was in cardiogenic shock. In addition to fluid resuscitation, vaso-active amine infusion was administered to achieve hemodynamic stabilization. The differential diagnosis investigated possible pulmonary embolism, myocardial infarction, and myocarditis. Furthermore, a second transthoracic echocardiogram suggested Tako-Tsubo syndrome. This is a septic patient. The purpose of this manuscript is to review studies which formerly examined the possible association between high levels of troponin and mortality to see if it can be considered a positive predictive factor of fatal prognosis as the case of thrombocytopenia, already a positive independent predictive factor of multiple organ failure syndrome, and generally to characterize risk profile in a septic patient. 展开更多
关键词 SEPSIS Shock HYPOTENSION TROPONIN MYOCARDIAL DYSFUNCTION
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