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Researchers are cautious about recommending that patients put their full trust in the current state of AI.
Software powered by artificial intelligence can help identify potential polyps in folks who prefer an endoscopy over a colonoscopy.
Dana-Farber researchers use artificial intelligence to efficiently diagnose muscle wasting in patients with head and neck cancers.
People seek traditional, complementary and integrative medicine for treatment, prevention, palliative care and rehabilitation.
Treating cancers with an unknown primary site is challenging because most drugs are approved for specific malignancies.
Jamie Goldfarb and Ken Billett, both melanoma survivors, share how their lives have been shaped by recent advances in melanoma research.
Using artificial intelligence for breast cancer screening may be as effective as standard screening methods.
Total Body Photography provides a detailed map of your skin that allows your doctor to track existing, new, and changing lesions more easily
Univ of Colorado School of Medicine researchers are shining a light on artificial intelligence’s role—and appearance—in health care.
The technology also tends to “hallucinate” — that is, make up information that sounds convincing.
As we look to the future of screening, technology may be a solution to improve CRC detection rates and decrease morbidity.
Model using artificial intelligence accurately predicted the risk of distant recurrence in people with endometrial cancer.
Using smartphones as diagnostic tools is a work in progress, experts say.
Predictive model allows researchers to encode commands for cells to carry out, such as ”Knock those tumor cells out, and keep at it.”
Data from thousands of patients with glioblastoma were used to develop an accurate model for detecting tumor boundaries.
Artificial intelligence (AI) can be used as a tool to help detect melanoma and other skin cancers earlier. But challenges remain.
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