Researchers at Kyushu University have developed and validated a machine-learning model that can accurately evaluate the density of surviving tumor cells after treatment in pathological images of osteosarcoma—the most prevalent malignant bone tumor. The model can assess how individual tumor cells respond to treatment and can predict overall patient prognosis more reliably than conventional methods.
AI’s ability to detect tumor cells could be key to more accurate bone cancer prognoses
