Neural Networks Predict Survival for Older Adults With Head and Neck Cancer — Useful, but Not Yet Practice-Changing
Posted innews Oncology Otorhinolaryngology

Neural Networks Predict Survival for Older Adults With Head and Neck Cancer — Useful, but Not Yet Practice-Changing

An international cohort study developed and externally validated artificial neural networks that stratify older adults with locoregionally advanced head and neck squamous cell carcinoma (HNSCC) treated with definitive chemoradiation. Models showed moderate discrimination (OS AUC 0.68, PFS AUC 0.64) with HPV status, kidney function, ECOG, and nodal stage among top predictors.
Evaluating AI-Led vs Human-Led Lifestyle Interventions in Prediabetes: Evidence from a Randomized Clinical Trial of the Diabetes Prevention Program
Posted inAI Clinical Updates Diabetes & Endocrinology news

Evaluating AI-Led vs Human-Led Lifestyle Interventions in Prediabetes: Evidence from a Randomized Clinical Trial of the Diabetes Prevention Program

This review examines the first phase 3 randomized trial demonstrating that an AI-powered Diabetes Prevention Program lifestyle intervention is noninferior to human coaching in improving weight loss, HbA1c, and physical activity among adults with prediabetes and overweight or obesity.
Artificial Intelligence in Imaging-Based Extranodal Extension Detection: Advancing Prognostication in HPV-Positive Oropharyngeal Cancer
Posted inAI Oncology Otorhinolaryngology Radiology Specialties

Artificial Intelligence in Imaging-Based Extranodal Extension Detection: Advancing Prognostication in HPV-Positive Oropharyngeal Cancer

An AI-driven model accurately detects imaging-based extranodal extension in HPV-positive oropharyngeal cancer from CT scans, improving outcome prediction beyond expert radiologist assessments and identifying patients at higher risk of poorer survival and recurrence.
Artificial Intelligence-Detected Tumor-Infiltrating Lymphocytes as a Biomarker in Anti-PD-1-Based Therapy for Advanced Melanoma: Clinical Evidence and Translational Perspectives
Posted inAI Oncology Pathology & Lab Medicine Specialties

Artificial Intelligence-Detected Tumor-Infiltrating Lymphocytes as a Biomarker in Anti-PD-1-Based Therapy for Advanced Melanoma: Clinical Evidence and Translational Perspectives

AI-detected tumor-infiltrating lymphocytes on routine histology independently predict response and survival in advanced melanoma treated with anti-PD-1 therapies, outperforming manual scoring and offering an accessible biomarker for immune checkpoint inhibitor outcomes.