Risk Management and Application of Artificial Intelligence in Elderly Patients with Chronic Diseases and Sarcopenia

This study investigates AI's incorporation in healthcare, focusing on chronic diseases and sarcopenia in the elderly. It explores AI's potential to enhance risk management and patient outcomes, especially for cardiovascular disease, diabetes, and COPD. The research highlights AI-driven tools' efficacy in early diagnosis, personalized treatment, and continuous health monitoring, improving elderly patients' quality of life. Legal and ethical issues are covered, including bias in AI models, patient data privacy, and regulatory compliance. The study emphasizes the need for interdisciplinary collaboration and empirical validation. The future of artificial intelligence in the healthcare field, with wearable technology and personalized treatment plans, is expected to bring revolutionary patient care. The paper also considers economic implications, advocating for regulatory frameworks and equitable access. AI can transform chronic disease and sarcopenia management through better diagnostics and proactive health management, but ongoing research and collaboration are essential to tackle ethical, legal, and practical challenges, aiming for an efficient, effective, and equitable healthcare system.