The face of lung cancer — once older men with a history of smoking — has changed.

Dr. Nathan Pennell and Dr. Cheryl Czerlanis discuss challenges in lung cancer screening and potential solutions to increase screening rates, including the use of AI to enhance risk prediction and ...

Early cancer screening is essential for reducing cancer-related mortality and improving survival rates. Simultaneous detection of multiple tumor markers can enhance the accuracy and specificity of ...

This study addresses the pressing need for early detection through a novel diagnostic approach that leverages innovative image processing techniques. The urgency of early lung cancer detection is ...

By using artificial intelligence, additional information about the cancer can be extracted from pathological tissue sections -- something that would not be possible without AI technology.

Imaging and diagnostic image processing are designed to discover most cancers early so the patient can begin treatment at an early level. Time is a crucial issue in detecting cancer or tumour. Keeping ...

Changes in non-small cell lung cancer (NSCLC) next-generation sequencing (NGS) rates after electronic health record (EHR) integration using large-scale, multi-institutional, real-world data.

Detection of malignant lung nodules from Computed Tomography (CT) images is a significant task for radiologists. But, it is time-consuming in nature. Despite numerous breakthroughs in studies on the ...