In a recent study published in The Lancet Digital Health, researchers discuss the development and validation of a combined model comprising imaging, clinical, and cell-free deoxyribonucleic acid (DNA) ...

Lung cancer remains one of the malignancies with the highest incidence and mortality worldwide. Clinical practice has long been plagued by core dilemmas, including insufficient sensitivity in early ...

Ultrasound (US) imaging is a widely employed diagnostic tool used for real-time imaging of various organs and tissues using ultrasonic sound waves. The waves are sent into the body, and images are ...

Brazilian researchers, in partnership with French institutions, have developed a tool that can predict how patients will respond to natalizumab, one of the most commonly used drugs for treating ...

Medical AI evaluation rigor is crucial for safe deployment. Aneesh Gupta explains why current benchmarks fall short and how ...

Among the most powerful tools that enable modern day healthcare delivery are advanced imaging techniques. Often, these tools are used to validate physical exams, visualize internal anatomy, or ...

In a future perhaps not too far away, artificial intelligence and its subfield of machine learning (ML) tools and models, could help orthopedic physicians predict when a patient might encounter a bone ...

This review explores how multi-source data-driven machine learning is transforming lung cancer care, from early screening and ...