Ethical and Legal Challenges of Artificial Intelligence in Cardiology
From the article:
Artificial intelligence (AI) offers new opportunities to improve diagnosis and treatment across a wide spectrum of cardiovascular conditions. In theory, algorithms driven by AI can interpret the torrent of physiologic data emerging from implantable and wearable devices to refine the diagnosis of conditions such as atrial fibrillation (a common arrythmia that can increase the risk for stroke) and congestive heart failure (i.e., when the heart muscle cannot pump effectively enough to meet the body's metabolic demands), in which timely identification can lead to meaningful treatment changes. AI may also help mine new and existing data sources to improve the precision of treatment delivery, identifying patients most and least likely to benefit from medications designed to prevent blood clots and strokes, or devices such as implantable cardioverter-defibrillators (ICDs) and cardiac resynchronization therapy (CRT). However, applying AI to these areas of critical clinical need raises key questions for regulators, clinicians, and patients. Thus, this article discusses the promise, alongside the legal and ethical challenges of AI in cardiology.
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artificial intelligence biotechnology health law policy i. glenn cohen sara gerke