AI Tool ONCO-ACS to Guide Treatment for High-Risk Cancer Patients A new artificial intelligence tool, ONCO-ACS, has been developed by an international research team to help doctors treat cancer patients who have suffered a heart attack. This high-risk patient group has historically been excluded from cardiovascular clinical trials, creating a gap in validated treatment guidance. The AI model was trained on a real-world dataset of over one million heart attack patients, including more than 47,000 with cancer. ONCO-ACS combines cancer-specific factors, such as tumor type and time since diagnosis, with standard cardiovascular data to predict the six-month risk of mortality, major bleeding, and recurrent ischemic events. The tool demonstrated strong predictive accuracy, aiming to provide clinicians with reliable data to tailor treatments and balance the risks and benefits of interventions like antiplatelet therapy.
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