AI-Driven Prognostics: Predicting Patient Outcomes from Histopathology with Objective, Scalable Intelligence

AI-powered prognostics used in histopathology can reveal complex patterns in tissue and cells that exceed human vision capabilities. We present how the incorporation of these models into laboratory workflows creates more objective, reproducible, and scalable processes. This affords greater diagnostic accuracy, faster turnaround times, and patient care that best fits their needs. By handling variability and subjectivity in traditional methods, this approach supports more confident prognoses and better clinical outcomes.