AI based prediction of chemotherapy response in cancer patients: A cross-sectional study

Predicting chemotherapy response remains challenging due to the variability in tumor biology, genetics and host factors. Therefore, it is of interest to evaluate the effectiveness of AI-based predictive models in assessing chemotherapy response in cancer patients. AI models demonstrated high accuracy in distinguishing responders from non-responders, with those integrating multiple data types outperforming single-domain models. The integration of clinical, radiological and laboratory data significantly enhanced prediction accuracy. Therefore, this study advances knowledge by highlighting the potential of AI in revolutionizing chemotherapy response prediction and contributing to more targeted, effective cancer treatments.