| Abstrakt: |
A scoping review conducted by researchers at Florida Atlantic University explores the application of artificial intelligence (AI) algorithms in breast cancer risk prediction and prevention. The review identifies various AI techniques and models that have been used in this field, including machine learning and deep learning models, academic algorithms, and AI-based thermal imaging solutions. The study also highlights barriers to the application of AI in breast cancer prediction and screening efforts, such as limited generalizability and selection bias. The researchers recommend that future research should focus on expanding the predictive variables used in AI models, investigating long-term outcomes, and utilizing AI to improve communication strategies for informed decision-making. [Extracted from the article] |
