Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Telemedicine in Cardiology - Perspectives in Bosnia and Herzegovina
7
Zitationen
3
Autoren
2017
Jahr
Abstract
Introduction: Aim of article was to present perspectives of telemedicine in the field of cardiology in Bosnia and Herzegovina.Material and methods: Article has descriptive character and present review of literature.Results: Information technology can have the application in the education of students, starting from basic medical sciences up to clinical subjects.Information technologies are used for ECG analysis, 24h ECG Holter monitoring, which detects different rhythm disorders.By developing software packages for electrocardiogram analysis, which can be divided and interpreted by mobile phones, and complete the whole of the patient in the ambulance, specialist, experienced specialists, or even consultations in various illnesses and cities.Image segmentation algorithms have significance in the quantization and diagnostics of anatomic and pathological structures, and 3D representation has an important role in education, topography and clinical anatomy, radiology, pathology, as well as in clinical cardiology itself, especially in the sphere of coronary arteries identification in the multislice computerized angiography of coronary arteries.Interactive video consultations with subspecialists from the state and the region in adult cardiology, adult interventional cardiology, cardiovascular surgery, pediatric invasive and non-invasive cardiology enable better access to heart specialists and subspecialist, accurate diagnosis, better treatment, reduction of mortality, and a significant reduction in costs.Conclusion: Telemedicine by slow steps in entering the soil of Bosnia and Herzegovina, but the potential exists.It is necessary to educate the medical staff, as well as to provide a tempting environment for software engineers.Investing in infrastructure and equipment is imperative, as well as a positive climate for the its implementation.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.231 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.084 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.444 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.776 Zit.
Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
2018 · 5.423 Zit.