The growth in digitization of health data provides opportunities for using algorithmic techniques for data analysis. This systematic review assesses whether quantum machine learning (QML) algorithms outperform existing classical methods for clinical decisioning or…
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While machine learning (ML)-based solutions—often referred to as artificial intelligence (AI) solutions—have demonstrated comparable or superior performance to human experts across various healthcare applications, their vulnerability to perturbations and stability to variations due to…
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As the healthcare industry increasingly adopts AI, the landscape of cybersecurity threats is changing rapidly. While AI can enhance patient care and streamline operations, it also introduces new vulnerabilities that cybercriminals may exploit.To help…
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By 2030, the healthcare artificial intelligence market is expected to be worth almost $188 billion.The Institute of Electrical and Electronic Engineers, the world’s largest nonprofit technical organization dedicated to the advancement of technology for…
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The previous article in this series introduced the topic of generative AI in the back office of healthcare. This article starts to look at healthcare generative AI use cases.
Is it any surprise that new…
