14 - 16 June, 2022
| Helsinki, Digital
Session

New Frontiers of AI and Data Analytics in Oncology

Artificial Intelligence has already entered many areas of our everyday lives. As it will soon be part of mainstream care practices, health professionals need to learn more about it and crucially, be more involved in co-designing applications for the frontline. Oncology is an area where AI, fueled by readily available numerous and large data sets, has perhaps the greatest potential to revolutionise care: supporting and freeing up time for clinicians, dramatically improving patient outcomes, powering outreach programmes, enabling great advances in cancer research and saving many lives. Taking oncology as an example that could be applied to other therapeutic areas, this session will explore where AI and data analytics is having the greatest impact today: screening and early detection, auto-planning for radiotherapy, treatment optimization, identification of new biomarkers and more. This session will also discuss the barriers to overcome to promote large-scale implementations and take a glimpse at what is on the horizon for AI in cancer care.

Session Details

June 8, 2021
15:30 - 16:15

Accreditation

  • CAHIMS
  • CPD
  • CPHIMS

Supported by

 

ge healthcare logo

Speakers

Prof Tufia C Haddad
Mayo Clinic, Chair of Digital Health, Department of Oncology
Mayo Clinic Cancer Center, Chair of Practice Innovation and Platform
United States
Eng Matteo Pepa
Biomedical Engineer
Division of Radiation Oncology, IEO
Italy
Prof Barbara Alicja Jereczek-Fossa
University of Milan - Associate Professor of Radiation Oncology
European Institute of Oncology - Head of Radiotherapy Division
Italy
Prof Karol Sikora
Chief Medical Officer
Rutherford Health
United Kingdom
Prof Mathias Goyen
Chief Medical Officer EMEA
GE Healthcare
Germany