This webinar reviews advances in artificial intelligence in the field of lung cancer. The various aspects include surgery and radiological imaging tasks, such as response assessment, detection, diagnosis, prognosis, and therapy response, as well as in multi-omics disease discovery.
- Explain the different types of AI technologies including machine-learning, deep-learning and omics/radiomics
- Review applications of AI in lung cancer which includes system cancer therapies, prognostic biomarkers, response assessment and predictive biomarkers, radiation therapy, treatment planning and response assessment
- Discuss incorporating AI into lung cancer surgery
This program is designed for radiologists, pulmonologists, thoracic surgeons, research scientists, interventional radiologists, radiation oncologists, medical oncologists, surgical oncologists, pathologists and those medical professionals involved in treating patients with lung cancer.
Method of Participation
After you register you will receive an email with a link to the webinar recording.