Estimates of cancer burden and comprehensive analyses of cancer trends, risk factors, and future projections are important ...

Machine learning models can help predict which patients receiving systemic therapy for non-small lung cancer are most likely ...

A major randomized controlled trial of AI for screening mammography will fill a significant evidence gap for a tech already ...

Proving the potential of AI screenings Artificial intelligence may help radiologists spot disease, but throwing the ...

In a presentation delivered at the 26th Annual International Lung Cancer Congress, Sandip Patel, MD, discussed the rise of AI-enabled imaging and digital pathology in predicting treatment response, ...

Using medical datasets is also preferable because all patients who were treated for a particular cancer are analyzed. In ...

Introduction The COVID-19 pandemic led to major disruptions in society across many spheres, including healthcare, the economy and social behaviours. While early predictions warned of an increased risk ...