Author:
Reich Christoph,Meder Benjamin
Abstract
Abstract
Purpose of Review
The introduction of Artificial Intelligence into the healthcare system offers enormous opportunities for biomedical research, the improvement of patient care, and cost reduction in high-end medicine. Digital concepts and workflows are already playing an increasingly important role in cardiology. The fusion of computer science and medicine offers great transformative potential and enables enormous acceleration processes in cardiovascular medicine.
Recent Findings
As medical data becomes smart, it is also becoming more valuable and vulnerable to malicious actors. In addition, the gap between what is technically possible and what is allowed by privacy legislation is growing. Principles of the General Data Protection Regulation that have been in force since May 2018, such as transparency, purpose limitation, and data minimization, seem to hinder the development and use of Artificial Intelligence.
Summary
Concepts to secure data integrity and incorporate legal and ethical principles can help to avoid the potential risks of digitization and may result in an European leadership in regard to privacy protection and AI. The following review provides an overview of relevant aspects of Artificial Intelligence and Machine Learning, highlights selected applications in cardiology, and discusses central ethical and legal considerations.
Funder
Bundesministerium für Bildung, Wissenschaft, Forschung und Technologie
Deutsche Forschungsgemeinschaft
Deutsches Zentrum für Herz-Kreislaufforschung
Medizinische Fakultät Heidelberg der Universität Heidelberg
Publisher
Springer Science and Business Media LLC
Subject
Physiology (medical),Cardiology and Cardiovascular Medicine,Emergency Medicine
Cited by
5 articles.
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