AI predicts 5-year breast cancer risk more effectively by analyzing a broader range of data and patterns than standard tools. While the inner workings of AI models may seem complex, they rely on vast datasets, including patient health records, genetic information, and more, to identify subtle indicators of risk. AI’s ability to detect intricate relationships in data allows it to offer improved predictive accuracy. Ongoing research aims to better understand the specific mechanisms and criteria behind AI’s predictions to enhance their transparency and trustworthiness.
