Artificial intelligence predicted one-third of breast cancer cases prior to diagnosis in a new study from Norway. Experts weigh in on how this could impact the future of cancer care.
Artificial intelligence could have the capability to pinpoint cancer diagnoses a lot sooner. A new study published in the journal Radiology last week noted that AI helped predict one-third of breast cancer cases up to two years prior to diagnosis. The research surveyed imaging data and screening information from BreastScreen Norway exams performed from January 2004 to December 2019.
The results revealed that more than 38% of screening-detected and interval cancers scored a 10 for AI risk preceding a breast cancer diagnosis. In cases of screening-detected cancers with AI scores available four years before diagnosis, 23% had a score of 10 for high risk. Study co-author Solveig Hofvind, head of the Norwegian Breast Cancer Screening Program and professor of radiography at Oslo and Akershus University College of Applied Sciences in Norway, shared her thoughts on the outcome.
Early detection can lead to timely interventions, potentially improving patient outcomes and reducing the severity of treatments required,' he said. Castro said AI algorithms can 'consistently analyze vast amounts of data without fatigue, ensuring that screenings are diagnosed with the same level of precision every time.
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