Medicare Advantage and Cancer Surgery Outcomes: Are Patients Being Routed Away from High-Quality Hospitals?
Posted inGeneral Surgery Oncology Specialties Superintelligence

Medicare Advantage and Cancer Surgery Outcomes: Are Patients Being Routed Away from High-Quality Hospitals?

This retrospective national cohort study reveals that Medicare Advantage (MA) enrollees undergoing major cancer surgery are less likely to receive care at high-quality hospitals compared to traditional Medicare beneficiaries, raising concerns about MA networks' impact on access to optimal surgical care.
Enhancing Melanoma Prognosis: AI-Driven Quantification of Tumor-Infiltrating Lymphocytes Outperforms Traditional Pathology
Posted inOncology Pathology & Lab Medicine Specialties Superintelligence

Enhancing Melanoma Prognosis: AI-Driven Quantification of Tumor-Infiltrating Lymphocytes Outperforms Traditional Pathology

This study demonstrates that an AI algorithm provides more reproducible and prognostically relevant assessment of tumor-infiltrating lymphocytes in melanoma compared to traditional pathologist methods, offering a promising tool to improve clinical decision-making.
Artificial Intelligence-Detected Tumor-Infiltrating Lymphocytes as a Biomarker in Anti-PD-1-Based Therapy for Advanced Melanoma: Clinical Evidence and Translational Perspectives
Posted inOncology Pathology & Lab Medicine Specialties Superintelligence

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.
Advancing Precision Medicine in Hepatocellular Carcinoma: Machine Learning Radiomic Models Surpass Clinical Biomarkers in Predicting Immunotherapy Outcomes
Posted innews Oncology Radiology Specialties Superintelligence

Advancing Precision Medicine in Hepatocellular Carcinoma: Machine Learning Radiomic Models Surpass Clinical Biomarkers in Predicting Immunotherapy Outcomes

Integrated radiomic-clinical machine learning models outperform traditional clinical biomarkers in predicting survival and treatment response in unresectable hepatocellular carcinoma patients undergoing atezolizumab plus bevacizumab therapy.