Artificial intelligence can better detect two of the most common cancers in older adults, breast and pancreatic cancer, according to recent research into screening methods.
Early detection of cancer has been identified as one of the clearer and most beneficial ways that AI can be deployed in healthcare. New findings enforce this paradigm.
Pancreatic and breast cancer detection were the focus of separate studies published this week in Nature Medicine.
One model, using the acronym “PANDA” — for “pancreatic cancer detection with artificial intelligence” — was able to distinguish seven different kinds of pancreatic lesions, researchers found.
“Taken together, PANDA could be widely used to increase the level of pancreas cancer diagnosis expertise in medical centers,” the study authors wrote, “especially by detecting more pancreatic malignancies at an earlier stage.”
The AI tool for breast cancer was able to detect 13% more cancers than human-only results could, according to new research led by Kheiron Medical Technologies and Imperial College London.
A majority of the additional cancers the AI helped detect were invasive. By identifying them, patients were able to avert dangerous or fatal outcomes.
A more normative model for creating AI tools that can aid in detecting any cancer screening is being developed by researchers at the University of California, Los Angeles.
Such AI would look at the gene expression patterns in tumors, to help build a risk profile in patients, a recent report shows.
Regardless of what stage of cancer a patient has, senior living and care residents who work with caregivers on advanced care plans are more likely to end up with comfort-based end-of-life care should their conditions progress, the McKnight’s Clinical Daily reported earlier this year.
