Andere Kunden interessierten sich auch für
![KI-Vorschriften für das Gesundheitswesen: Compliance für Diagnostik & Robotik]( "KI-Vorschriften für das Gesundheitswesen: Compliance für Diagnostik & Robotik")
KI-Vorschriften für das Gesundheitswesen: Compliance für Diagnostik & Robotik60,90 €![Quality by Design (QbD) in Pharmaceutical Development]( "Quality by Design (QbD) in Pharmaceutical Development")
Quality by Design (QbD) in Pharmaceutical Development29,99 €![Product Quality Review Vs. Continued Process Verification (PQR Vs.CPV)]( "Product Quality Review Vs. Continued Process Verification (PQR Vs.CPV)")
Product Quality Review Vs. Continued Process Verification (PQR Vs.CPV)22,99 €![AI and Machine Learning in Radiopharmaceutical Development]( "AI and Machine Learning in Radiopharmaceutical Development")
AI and Machine Learning in Radiopharmaceutical Development29,99 €![QOL based on Compliance Behaviour & Hb level in Haemodialysis Patients]( "QOL based on Compliance Behaviour & Hb level in Haemodialysis Patients")
QOL based on Compliance Behaviour & Hb level in Haemodialysis Patients41,99 €![Evaluation of antibiotic prescriptions in hospitals]( "Evaluation of antibiotic prescriptions in hospitals")
Evaluation of antibiotic prescriptions in hospitals36,99 €![Réglementation de l'IA dans le domaine de la santé : Conformité pour le diagnostic et la robotique]( "Réglementation de l'IA dans le domaine de la santé : Conformité pour le diagnostic et la robotique")
Réglementation de l'IA dans le domaine de la santé : Conformité pour le diagnostic et la robotique39,99 €
AI-driven healthcare is transforming diagnostics, robotics, and telemedicine, but regulatory challenges pose significant hurdles. Compliance with evolving medical device regulations, data privacy laws, and ethical standards is crucial for safe and effective implementation. AI-powered diagnostics must ensure accuracy and patient safety while meeting FDA and EU MDR requirements. Robotics in surgery and patient care require adherence to safety protocols and liability frameworks. Telemedicine faces legal complexities, including cross-border regulations and patient data security under HIPAA and GDPR. To navigate these challenges, healthcare organizations must implement robust risk management strategies, ensure transparency in AI decision-making, and establish continuous monitoring and validation processes. Collaboration with regulatory bodies, adherence to ethical AI principles, and proactive policy adaptation are essential for long-term success. This book explores strategies to alignAI innovations with legal requirements, helping stakeholders integrate AI responsibly while ensuring patient trust and regulatory compliance.