The ongoing personalized medicine revolution drives social and operational impact while improving therapy outcomes and patient satisfaction. Whereas the real-world implementation of artificial intelligence (AI) in medical oncology is advancing well, very few cancer surgery departments have been able to rapidly adopt AI technologies at scale.
Advanced data science applications in the field of peritoneal and pleural metastasis are rare. However, there is pioneer work on modeling drug transport during intraperitoneal chemotherapy, simulation of aerosol spatial distribution during PIPAC, computing the extent of peritonectomy during cytoreductive surgery, detecting early radiological signs of peritoneal metastasis, generating automatic quality control reports for peritoneal malignancies programs, and predicting patient outcome. Moreover, new options are emerging for complementing or even replacing randomized trials in the field of peritoneal metastasis.
Agile predictive AI tools can help indicate the right therapy in the right patient at the right time. If reliable, such AI tools guarantee high-quality health outcomes, minimize costs, and increase patients’ quality of life. For the first time, ISSPP will invite pioneers to present their work in the field of peritoneal metastasis. This disruptive webinar will be chaired by Assoc. Prof. Tarkan Jäger from the Paracelsus Medical University, Salzburg, Germany.
Participation in the webinar is free, but advanced registration is required. For registration please click here.