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QuitBot uses evidence-based strategies developed from over 20 years of research by smoking cessation experts at Fred Hutch Cancer Center.
AI software that helps radiologists diagnose breast cancer has been moving into clinical use, but it’s not yet covered by most insurance.
Findings show benefits of AI-driven techniques, chemotherapy-free treatments, and cell therapy.
Numerous organizations seek to improve cancer survival rates and quality of life for Black folks.
Research is conﬁrming that artiﬁcial intelligence and machine learning algorithms may revolutionize the speed of melanoma diagnosis.
Bioethics researchers at Dana-Farber call on leaders to ensure that AI preserves autonomy of cancer patients and respects human dignity.
Researchers are investigating AI’s potential to transform cancer care and improve patient outcomes.
Artificial intelligence is rapidly making its way into health care.
An AI–based tool can evaluate photos of kidney tumor samples and may help predict treatment responses, report Dana-Farber researchers.
Artificial intelligence–backed chatbots can provide accurate info about cancer—but also include errors and omissions, two studies show.
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.
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