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Medical data, including patients' identity information, health status, disease diagnosis and treatment, and biogenetic information, not only involve patients' privacy but also have a special sensitivity and important value, which may bring physical and mental distress and property loss to patients and even negatively affect social stability and national security once leaked.
Artificial intelligence in healthcare is the application of artificial intelligence (AI) to analyze and understand complex medical and healthcare data. In some cases, it can exceed or augment human capabilities by providing better or faster ways to diagnose, treat, or prevent disease.
The National Cyber Security Centre identified the penetration testing tool Cobalt Strike, sold by American IT company HelpSystems, as being used to move through and infect HSE and Department of Health systems, to run executable files, and to deploy a variant of the Conti ransomware.
As health artificial intelligence (AI) applications are expected to save over $150 billion in annual savings for U.S. healthcare, researchers are studying the risks of potential PHI leaks. [21] Currently, 21% of U.S. consumers or 57 million people, use a quantified self health and fitness tracking (QSHFT) application.
The 2018 SingHealth data breach was a data breach incident initiated by unidentified state actors, which happened between 27 June and 4 July 2018. During that period, personal particulars of 1.5 million SingHealth patients and records of outpatient dispensed medicines belonging to 160,000 patients were stolen.
AI safety is an interdisciplinary field focused on preventing accidents, misuse, or other harmful consequences arising from artificial intelligence (AI) systems. It encompasses machine ethics and AI alignment, which aim to ensure AI systems are moral and beneficial, as well as monitoring AI systems for risks and enhancing their reliability.