Applications of artificial intelligence for patients with peripheral artery disease

Lareyre, Fabien; Behrendt, Christian‐Alexander; Chaudhuri, Arindam; Lee, Regent; Carrier, Marion; Adam, Cédric; Lê, Cong Duy; Raffort, Juliette

doi:10.1016/j.jvs.2022.07.160

Cited by 36 publications

(17 citation statements)

References 76 publications

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“…The results of this study also revealed that AI has important applications in disease screening. AI can have a major role in the screening process, by supporting the screening process and staging, as categorized as the third theme entitled "screening" (43)(44)(45)(46)(47)(48). Screening is an important stage in decision making for disease management and future stages of intervention and treatment.…”

Section: Discussionmentioning

confidence: 99%

Artificial Intelligence Applications in Decision Making for Disease Management

Abdekhoda

Ranjbaran

2023

Preprint

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Background: Artificial intelligence (AI) has several potential applications in medicine, creating opportunities for reliable and evidence based decision making in disease management. Thus, the practical aspects of AI in decision-making should be identified. This study was conducted to identify AI applications in decision making for disease management. Method: This study was a systematic review using the PRISMA-ScR checklist. Data collection was carried out by searching the related keywords in WOS and Scopus in May 2023. Results: Regarding the AI applications in decision making for disease management, we found 80 sub-themes which were categorized into six themes, i.e. 1) Processing and managing data, 2) Characterization and analysis, 3) Prediction and risk stratification, 4) Screening, 5) Prognosis, and 6) Diagnosis. Conclusion: AI has considerable capability in disease treatment and would be an integral part of medicine in the future. This study clearly identified six main themes that addressed AI capability in decision making for disease management. The use of AI can help in making medical decisions with more trust and confidence and thus make medical interventions more accurate and effective.

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Section: Discussionmentioning

confidence: 99%

Artificial Intelligence Applications in Decision Making for Disease Management

Abdekhoda

Ranjbaran

2023

Preprint

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“…The deployment of digital health technologies for the management of patients with cardiovascular diseases has been extensively reported [ 11 , 12 , 13 , 14 , 15 ]. Technological advances with applications derived from artificial intelligence have also attracted increasing interest in vascular surgery [ 16 , 17 , 18 , 19 , 20 , 21 , 22 , 23 ]. Despite being an active clinical area, analysis of current knowledge on the use of telemedicine in vascular surgery is paradoxically lacking.…”

Section: Introductionmentioning

confidence: 99%

Telemedicine and Digital Health Applications in Vascular Surgery

Lareyre

Chaptoukaev

Kiang

et al. 2022

JCM

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Background: Telemedicine has the potential to revolutionize healthcare. While the development of digital health technologies for the management of patients with cardiovascular diseases has been increasingly reported, applications in vascular surgery have been far less specifically investigated. The aim of this review is to summarize applications related to telemedicine in vascular surgery, highlighting expected benefits, current limits and future directions. Methods: The MEDLINE database was searched using a combination of keywords to identify studies related to telehealth/telemedicine in three main pathologies, including aortic, peripheral artery and carotid disease. A comprehensive literature review was performed to identify the type of digital application, intended use, expected benefits, strengths and limitations. Results: Telemedicine can improve the management of patients through digital platforms allowing teleconsultation, telemonitoring or telecoaching. Intended use involved remote consultation with a vascular surgeon, applications to enhance education, self-management, follow-up or adherence to treatment or lifestyle changes. Conclusion: Telemedicine offers innovative perspectives to improve access to care in distant locations and optimize care through patients’ empowerment and personalized follow-up, contributing to the development of precision medicine. Huge efforts remain necessary for its implementation in daily clinical practice and involve ethical, legal, technical, economic and cultural considerations.

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“…Digital tools may be useful in a wide range of settings for vascular diseases: from patient care including applications for detection, diagnosis, prognosis, treatment, follow-up or prevention to administrative tasks and the enhancement of medical information system and also to medical research and education [ 1 , 6 , 12 , 13 , 14 , 15 , 16 ]. They have the potential to improve patients’ individual health condition by improving the control of vascular diseases and associated risk factors through the enhancement of treatment compliance, adherence to behavioral changes, education for self-management and patients’ empowerment [ 1 , 6 , 12 , 13 , 14 , 15 , 16 ]. Telemedicine may facilitate access to care, reduce time and travel burden for patients and may contribute to reducing disparities in distant regions or in resource-limited areas.…”

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confidence: 99%

“…Telemedicine may facilitate access to care, reduce time and travel burden for patients and may contribute to reducing disparities in distant regions or in resource-limited areas. Finally, AI and big data analysis may help reveal new insights in the mechanisms underlying vascular diseases, build predictive models and develop precision medicine and personalized care [ 1 , 6 , 12 , 13 , 14 , 15 , 16 ]. Altogether, e-health has the potential to improve outcomes of patients with vascular diseases, with possible reduced healthcare costs at the collective level.…”

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confidence: 99%

“…The main questions that people may ask first regarding digital innovation may be the following: “Is it working? Is it safe?” Generating evidence on clinical benefits, liability and safety is of utmost importance but is still challenging due to the lack of clear consensus and standardized methods as well as difficulties in organizing it at a large-scale level [ 1 , 6 , 12 , 13 , 14 , 15 , 16 ]. Digital technology raises concerns with respect to guaranteeing digital security, data protection and confidentially.…”

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confidence: 99%

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