Using AI in mammogram screenings can help doctors identify breast cancer risks years before a diagnosis, opening doors to personalized, preventive treatments and more effective care. Study: Artificial Intelligence Algorithm for Subclinical Breast Cancer Detection . Image Credit: Okrasiuk / Shutterstock.
com A recent study published in JAMA Network Open evaluates the efficacy of commercial artificial intelligence (AI) tools in detecting subclinical breast cancer from screening mammograms years before clinical diagnosis. Integrating AI with mammography The AI model tested (INSIGHT MMG) was not originally designed for future cancer risk estimation, yet it demonstrated predictive accuracy for cancers developing up to six years later In 2022, over 2.3 million women throughout the world were diagnosed with breast cancer , with over 670,000 deaths attributed to breast cancer that year.
Within the United States, breast cancer is the most common type of cancer to affect women, with one in three new female cancers affecting breast tissues each year in this nation. The United States Centers for Disease Control and Prevention (CDC) currently advises women 40 years of age and older to undergo a mammogram every two years to screen for the presence of breast cancer. Despite its widespread use, the accuracy of mammography is limited.
Recently, several AI algorithms have been approved to improve the accuracy of radiologist reports, which is achieved by marking suspicious regions and generat.