Overview AI systems use sensors and computer vision to detect pests and diseases early, reducing crop damage and yield losses ...

Chronic obstructive pulmonary disease (COPD) is a leading cause of morbidity and mortality globally. Effective management ...

Mount Sinai analysis looks at the effectiveness of electrocardiograms analyzed via deep learning as a tool for early COPD detection ...

A new development in wireless sensing technology that can reliably screen for five common pulmonary diseases could lead to ...

The review shows that smart greenhouses using IoT, artificial intelligence, and robotics can greatly improve crop yields, resource efficiency, and sustainability by enabling real-time monitoring, ...

Thyroid cancer is the most common endocrine cancer, affecting more people each year as detection rates continue to rise.

Detecting cancer in the earliest stages could dramatically reduce cancer deaths because cancers are usually easier to treat when caught early.