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Innovative Treatment Strategies for Clinical Electrophysiology

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Innovative Treatment Strategies for Clinical Electrophysiology/ edited by Tomasz Jadczyk, Guido Caluori, Axel Loewe, Krzysztof S. Golba.
其他作者:	Golba, Krzysztof S.
面頁冊數:	V, 134 p. 30 illus., 26 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Artificial Intelligence. -
電子資源:	https://doi.org/10.1007/978-981-19-6649-1
ISBN:	9789811966491

Innovative Treatment Strategies for Clinical Electrophysiology
Innovative Treatment Strategies for Clinical Electrophysiology[electronic resource] /edited by Tomasz Jadczyk, Guido Caluori, Axel Loewe, Krzysztof S. Golba. - 1st ed. 2022. - V, 134 p. 30 illus., 26 illus. in color.online resource. - Lecture Notes in Bioengineering,2195-2728. - Lecture Notes in Bioengineering,.

1. Stereotactic radio ablation for treatment of ventricular tachycardia -- 2. Pulsed Field Ablation for the Interventional Treatment of Cardiac Arrhythmias -- 3. High-power short-duration radiofrequency ablation of atrial fibrillation -- 4. Cardiac contractility modulation as a novel therapy for patients with heart failure -- 5. Machine Learning for Clinical Electrophysiology -- 6. Cardiac Digital Twin Modeling.

This book highlights the advancements in different fields of clinical electrophysiology and gives the reader a good background of the established practices. To tackle such a wide topic, the book focuses on two main aspects: ablation and pacing, discussing the novel energy sources and approaches to rhythm restoration and control; devices and signal processing, highlighting the new available technologies and numerical approaches aiding practice and home medicine. It also presents the reader with selected strategies that could be a paradigm shifts for the field: in situ cell reprogramming, exploiting the newly founded achievements in epigenetic modification of somatic cells; artificial intelligence; cardiac digital twinning, which aims to collect the information from imaging, mechanics and electrophysiology and condense it into a patient-specific model for personalized treatment.

ISBN: 9789811966491

Standard No.: 10.1007/978-981-19-6649-1doiSubjects--Topical Terms:

646849
Artificial Intelligence.

LC Class. No.: R895-920

Dewey Class. No.: 610.153

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