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Patients now ask AI assistants about their cancer. Test those assistants regularly on real questions, publish the scores, and certify the ones that meet the bar.
Large language models are becoming a primary source of medical information; studies show variable accuracy, occasional dangerous advice and inconsistent sourcing on oncology questions. The proposal is an independent, continuously updated benchmark of patient-style cancer questions (treatment options, side-effects, alternative therapies, prognosis) scored by oncologists and patients for accuracy, safety, sourcing and readability, with public leaderboards and a certification mark for assistants that meet thresholds and disclose limitations.
Shares Cancer Misinformation and Harmful Information on Facebook and Other Social Media: A Brief Report, Misinformation and unproven therapies.
Shares Cancer Misinformation and Harmful Information on Facebook and Other Social Media: A Brief Report, Misinformation and unproven therapies.
Shares Cancer Misinformation and Harmful Information on Facebook and Other Social Media: A Brief Report, Misinformation and unproven therapies.
Shares Cancer Misinformation and Harmful Information on Facebook and Other Social Media: A Brief Report, Misinformation and unproven therapies.
Shares Cancer Misinformation and Harmful Information on Facebook and Other Social Media: A Brief Report, Misinformation and unproven therapies.
Shares Cancer Misinformation and Harmful Information on Facebook and Other Social Media: A Brief Report, Misinformation and unproven therapies.
Shares AI that is built but not validated or deployed, Misinformation and unproven therapies.
Shares Cancer Misinformation and Harmful Information on Facebook and Other Social Media: A Brief Report, Misinformation and unproven therapies.