AI Model Enhances Prediction of Infection Risks from Oral Mucositis in Stem Cell Transplant Patients

Key Details

• 1Patients with oral mucositis after HSCT are almost 4x more likely to develop serious infections.
• 2A new AI-driven nomogram using demographic and clinical features shows superior predictive accuracy versus traditional models.
• 3Explainable AI provided clinicians with rationale for predictions, enabling targeted preventive care.
• 4Meta-analysis identified high-risk groups and specific risk factors such as chemotherapy types, age, and kidney issues.
• 5Researchers are working towards broad clinical adoption, including validation for other adverse events in cancer therapy.
• 6Findings were recently published in the journal Cancers and presented at MASCC 2025.