In a recent study, AI-assisted doctors accurately detected breast cancer in 28% of patients, while the doctors who did not use AI only spotted cancer in 25%. This meant AI assistance led to 41 more cancer diagnoses overall.
put that theory to the test and found very promising results. Participants had their mammograms screened by either AI or two human radiologists — and AI was just as efficient at identifying signs of breast cancer.The study used over 80,000 women around the age of 54. A little over half were assigned to an AI-assisted screening, which involved at least one radiologist interpreting the results with the help of AI.
The other half were assigned to a standard mammogram screening, with one to two radiologists reading the scans themselves.The AI-assisted doctors accurately detected breast cancer in 28% of patients, while the doctors who did not use AI only spotted cancer in 25%. This meant AI assistance led to 41 more cancer diagnoses overall, including invasive and early-stage breast cancers.
Additionally, AI had about the same error rate as the radiologists: The false-positive rate was 1.5% in both groups.With the help of AI, the study concluded that fewer screen readings were needed and estimated a 44% reduction in workload.
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