Breast cancer is the most common cancer in women worldwide, with nearly 1.7 million new cases diagnosed each year. Though some breast cancers are now treated efficiently, many patients still face poor prognoses and potential relapse.

 

This webinar presents an opportunity to emphasize how AI can assist researchers and clinicians and help them face these challenges.

 

Recently, an array of peer-reviewed studies has shown how clinical diagnostics for cancer are significantly improved when artificial intelligence (AI) is incorporated into disease predictions and treatment strategies, reducing waiting times and allowing patients to receive treatment earlier.

​

Participants in this webinar can expect to gain a better understanding of the steps of radiomics analysis, to learn how to use AI techniques to optimise the oncologic image analysis pipeline, to learn about the steps of imaging biomarkers extraction, and to better understand the importance of clinical endpoints for oriented radiomics research.