The combination of artificial intelligence (AI)-based nodule detection software and a structured, navigator-tracked follow-up clinic helped identify early-stage lung cancer in a p ...

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 ...

An artificial intelligence (AI) deep learning tool that estimates the malignancy risk of lung nodules achieved high cancer detection rates while significantly reducing false-positive results. Results ...

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

We combined natural language processing and large language models with state-of-the-art machine learning techniques and approaches to treat unbalanced data sets and determine the best solution to ...

A new study published in JCO Clinical Cancer Informatics demonstrates that machine learning models incorporating patient-reported outcomes and wearable sensor data can predict which patients with ...

LisenID uses a biomarker called loss of imprinting to apply to ambiguous biopsy results and return a diagnosis of lung cancer.