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AI-created plan to treat cancer reduced the amount of time patients had to undergo radiation

A study finds that AI-generated cancer treatments may be more efficient and effective than those generated by humans. Still, though, doctors are hesitant to use the AI curated treatments.

Tom purdieChris mcintoshPrincess margaret cancer centreUniversity of torontoDepartment of medical imagingMedical imagingJoint departmentNature medicinePrincess margaretடோம் பர்டீகிறிஸ் ம்ஸிஂடோஶ்ப்ரிந்ஸெஸ் மார்கரெட் புற்றுநோய் மையம்பல்கலைக்கழகம் ஆஃப் டொராண்டோதுறை ஆஃப் மருத்துவ இமேஜிங்மருத்துவ இமேஜிங்கூட்டு துறை

AI outperforms humans in creating cancer treatments, but do doctors trust it?

The impact of deploying Artificial Intelligence (AI) for radiation cancer therapy in a real-world clinical setting has been tested by Princess Margaret researchers in a unique study involving physicians and their patients.

Srinivas ramanCharles cattonNaghmeh isfahanianTim craigVickie kongPeter chungAndrew bayleyMichaelc tjongTom purdieChris mcintoshMary gospodarowiczMaria maddenJoelle helouPadraig wardeLeigh conroyThomas purdie

Effect of Capecitabine Maintenance Therapy Using Lower Dosage and Higher Frequency vs Observation on Disease-Free Survival Among Patients With Early-Stage Triple-Negative Breast Cancer Who Had Received Standard Treatment: The SYSUCC-001 Randomized Clinical Trial | Breast Cancer | JAMA

Effect of Capecitabine Maintenance Therapy Using Lower Dosage and Higher Frequency vs Observation on Disease-Free Survival Among Patients With Early-Stage Triple-Negative Breast Cancer Who Had Received Standard Treatment: The SYSUCC-001 Randomized Clinical Trial | Breast Cancer | JAMA
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