A researcher at Tehran University of Medical Sciences stated that artificial intelligence has been able to transform the course of treatment, saying: "We succeeded in creating a tool that predicts the success rate of stem cell transplantation with remarkable accuracy by modeling patient data. This achievement can help doctors make more accurate treatment decisions and guide patients towards recovery with greater confidence."
According to the Public Relations Department of Radio Salamat, "Maedeh Roozbahani", a physician and researcher at Tehran University of Medical Sciences, in an interview with the "Noyar" program of this radio network, stated that the use of artificial intelligence in the medical field is a revolutionary step in the treatment of complex diseases, adding: "In cooperation with the Hemato-Oncology Research Center of Shariati Hospital, and Professor Maryam Bahrood and Professor Mohammad Vaezi, we succeeded in collecting data on more than ten thousand patients with acute leukemia over a ten-year period." This information allowed us to design an accurate prediction model using machine learning techniques to estimate the success rate of stem cell transplants.
Emphasizing that this project is the first serious attempt to use artificial intelligence to predict the results of stem cell transplants, he stated that artificial intelligence is present in many medical fields today, from imaging to clinical data analysis. But being able to use this technology to predict the success rate of stem cell transplants is a new and valuable approach that has been implemented for the first time.
Roozbahani said: "Data from past patients plays a vital role in this model, and the tool designed based on the information of these patients calculates the success rate of treatment for new patients." He explained: "In fact, this model acts like a highly experienced doctor who has examined different patients for years and now, with high concentration, determines the probability of transplant success for each new person."
Referring to the factors that affect transplant success, he said: It is a complex task for a doctor to be able to predict the success rate of treatment. This is because this depends on numerous variables, including the type of transplanted cells, the patient's underlying characteristics, genetic characteristics and the type of his immune system. But the designed model, by carefully analyzing all these factors, can accurately estimate the chance of treatment success.
Referring to the accuracy of this model, the young researcher said: After numerous tests, we achieved significant results. The accuracy of this model's predictions was between 85 and 90 percent, which indicates the high capability of artificial intelligence in analyzing medical data.
Roozbahani added: "To ensure the accuracy of the results, this model was tested on data from past patients and then the success rate of the predictions was compared with the actual results. This gave us more confidence in the accuracy of the model, as the results obtained were completely reliable."
Emphasizing the importance of this research in the future of medicine, he stated: "This technology can be used not only in the field of stem cell transplantation, but also in other medical sectors. It is expected that similar models will be used in the treatment of chronic and complex diseases and can help doctors make more accurate decisions.
This innovative research shows how data science and artificial intelligence can be used to improve treatment processes. Doctors hope that with the further development of this technology, they will be able to design more advanced tools to predict patient treatment outcomes and make treatment approaches smarter and more accurate.
