(UroToday.com) The 2024 American Society of Clinical Oncology (ASCO) annual meeting featured a session on prostate cancer, and a presentation by Dr. Philip Sutera discussing the validation of a digital pathology-based multimodal artificial intelligence model in oligometastatic castration-sensitive prostate cancer (CSPC). Oligometastatic CSPC is a state of limited metastatic disease, and randomized trials have demonstrated improvements in progression-free survival in patients with oligometastatic CSPC treated with metastasis-directed therapy. However, clinical outcomes remain heterogeneous and response to metastasis-directed therapy is variable, raising the need for prognostic/predictive biomarkers. A multimodal artificial intelligence biomarker (ArteraAI Prostate Test) was recently trained using data from patients with localized prostate cancer and found to be prognostic.1,2 The multimodal architecture is composed of two parts: (i) a tower stack to parse a variable number of digital histopathology slides, and (ii) another tower stack to merge the resultant features and predict binary outcomes: