An ongoing Swedish study assessing the effectiveness of artificial intelligence tools in detecting early signs of breast cancer is producing results showing that computer-based scans are catching more warning signs than their human counterparts.
SALT LAKE CITY — An ongoing Swedish study assessing the effectiveness of artificial intelligence tools in detecting early signs of breast cancer is producing results showing that computer-based scans are catching more warning signs, and doing it faster, than thier human counterparts.
The AI-supported screening found 244 women, 28% of the group, had cancer while the radiologist team discovered 203, 25%, with cancer signs. "We still need to understand the implications on patients' outcomes, especially whether combining radiologists' expertise with AI can help detect interval cancers that are often missed by traditional screening, as well as the cost-effectiveness of the technology."
Dr. Laura Heacock, a breast radiologist at NYU Langone Perlmutter Cancer Center, who wasn't involved with the new study, told CNN that a radiologist's job is a lot more than pattern recognition.
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