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The use of artificial intelligence (AI) in data-driven medicine has revolutionized healthcare, presenting practitioners with unprecedented tools for diagnosis and personalized therapy. However, this progress comes with a critical concern: the security and privacy of sensitive patient data. As healthcare increasingly leans on AI, the need for robust solutions to safeguard patient information has become more pressing than ever. As AI use begins to increase in healthcare, the specter of data breaches, privacy infringements, and ethical quandaries appear formidable. Patient data, a cornerstone of...

The use of artificial intelligence (AI) in data-driven medicine has revolutionized healthcare, presenting practitioners with unprecedented tools for diagnosis and personalized therapy. However, this progress comes with a critical concern: the security and privacy of sensitive patient data. As healthcare increasingly leans on AI, the need for robust solutions to safeguard patient information has become more pressing than ever. As AI use begins to increase in healthcare, the specter of data breaches, privacy infringements, and ethical quandaries appear formidable. Patient data, a cornerstone of...