AI Created to Predict Heart Disease Complications in Cancer Patients

Арестова Татьяна World / Exclusive
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An international group of doctors from Europe and China has introduced a new artificial intelligence that can predict the risk of premature death with an accuracy ranging from 70% to 84%, as well as the occurrence of internal bleeding and ischemia in patients with cancer combined with various cardiovascular diseases. This was reported by the press service of the University of Zurich in Switzerland.

Professor Thomas Lüscher from the University of Zurich noted that this approach takes into account the mutual influence of tumors and cardiovascular diseases, which represents a significant advancement in the field of personalized medicine. This will allow doctors to better determine which patients need invasive procedures and intensive drug therapy, and for whom such interventions may be more harmful than beneficial.

Scientists explain that the presence of various tumors in the body increases the likelihood of developing dangerous cardiovascular diseases, such as strokes, heart attacks, and ischemia. This occurs because some tumors can provoke inflammatory processes and the formation of blood clots, which negatively affects the functioning of the cardiovascular system.

The existing need to consider changes in health and patients' predisposition to cardiovascular diseases when choosing therapy for cancer treatment often faces a lack of reliable tools for assessing risks. In this study, doctors analyzed data collected from 1.1 million residents of the UK, Switzerland, and Sweden suffering from serious cardiovascular diseases.

During the observations, cancer was diagnosed in approximately 47,000 patients, allowing researchers to assess the impact of tumors on the risk of complications from cardiovascular diseases and the likelihood of death. Based on this data, an AI system was developed that can analyze disparate test results and measurements, as well as assess the risk of developing complications.

Testing of the algorithm showed that it was able to accurately predict the likelihood of death in 84% of patients and correctly assess the risk of serious bleeding and ischemia in 70-79% of patients. This discovery could significantly improve the approach to treating cancer patients with cardiovascular problems, allowing doctors to choose safer and more effective therapy methods, the researchers concluded.
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