artificial intelligence breast cancer screening

Release time ：Dec-26,2024

Artificial intelligence (AI) for breast cancer screening is a technique that employs computer algorithms to assist in diagnosing breast cancer. Utilizing deep learning and machine learning, this technology analyzes mammographic images to detect potential malignant areas, enhancing the precision of early breast cancer detection.

In clinical practice, AI breast cancer screening systems are often integrated with conventional mammography. Patients first undergo mammography, after which the acquired imaging data is fed into the AI system for analysis. The AI system extracts and analyzes various image features, such as the shape, size, edge characteristics, and density of any masses, to assess the risk of cancer. If the system identifies a risk, it alerts the physician to conduct further examinations or initiate appropriate treatment.

While AI breast cancer screening has somewhat improved early detection rates, its accuracy and reliability require further validation. Moreover, the technology faces challenges including data privacy and algorithm interpretability. As such, both physicians and patients should approach AI breast cancer screening with caution, considering it a supplementary diagnostic tool rather than the sole basis for diagnosis. Additionally, patients should continue to undergo regular health check-ups and adhere to medical advice during breast cancer screening to ensure early detection and treatment.