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Evolution of AI Technologies in Healthcare: From Rule-Based Systems to Machine Learning
The evolution of AI technologies in healthcare has transitioned from traditional rule-based expert systems to more advanced machine learning and deep learning algorithms. While rule-based systems, prevalent in the 80s and 90s, relied on explicit if-then rules, machine learning and deep learning based on artificial neural networks now outperform these systems by providing superior predictions. The shift from rule-based AI to machine learning has significantly enhanced accuracy levels in healthcare applications, marking a substantial advancement in the field.