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The Company will also expand upon its established artificial intelligence (AI) capabilities with a particular focus on its pioneering use of natural language processing (NLP) to extract insights from unstructured text data in electronic health record (EHR) notes. Expansion Plans.
In May's upcoming Healthcare Innovation Forum , our panel of industry experts will discuss how AI and machine learning is revolutionizing the way healthcare data is analyzed and delivered, and how organizations can implement positive change to solve problems that plague the health system.
Artificial Intelligence and Machine Learning in Healthcare Artificial Intelligence (AI) and machine learning are quickly becoming integral parts of healthcare technology. AI algorithms can analyze massive amounts of data at speeds and accuracies far beyond human capabilities.
Examples include the development and deployment of COVID-19 screening and triage bots, mobile apps for field workers, dashboards and analytics for public health agencies, and migrations to Azure to enable population healthdata management.
On top of that a firm will -in the near future- need to comply with all the specific requirements for ‘high risk’ AI technology as stipulated in the Proposal for a Regulatory Framework for Artificial Intelligence (EU AI Act), and navigate its way through the future European HealthData Space.
However, integrating XR and AI into healthcare comes with ethical, legal and liability challenges. ISO 31000 and ISO/IEC Guide 51 set out broad risk management guidelines and integrate safety considerations across product lifecycles. Each application requires a tailored approach, integrating various standards to address specific needs.
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