Artificial Intelligence for Early Detection and Diagnosis of Cervical Cancer

  • Book Session
  • Feminist Book Club
  • Cinema
  • Wednesday 21.05 — 11:50 - 13:05

This book introduces the revolutionary use of AI in the field of cervical cancer detection. The book explores how advanced computer algorithms can analyse medical images and patient data to enhance early detection and accurate diagnosis of cervical cancer. The book starts by providing a comprehensive overview of cervical cancer, its risk factors, and the importance of early detection. It then delves into the fundamental concepts of artificial intelligence and its application in healthcare. Readers will gain a deeper understanding of how AI algorithms can "see" patterns in cervical cells and tissue, enabling the detection of abnormal cells and precancerous changes that may indicate the presence of cervical cancer. Drawing on the latest research and real-world case studies, the book showcases the various AI techniques used for cervical cancer screening, including the analysis of Pap smear and liquid-based cytology images.

Anastasia Karagianni

LSTS, VUB - Belgium

Anastasia Karagianni is a Doctoral Researcher at the LSTS Department of the Law and Criminology Faculty of VUB and former FARI Scholar and. Her academic background is mainly based on International and European Human Rights Law, as she holds an LL.M. from the Department of International Studies of Aristotle University of Thessaloniki. During her Master's studies, she was an exchange student for one year at the Faculty of International Law at KU Leuven. She has been also a visiting researcher at the iCourts research team of the University of Copenhagen. Her academic research focuses on the "Divergencies of gender discrimination in AI". Besides her academic interests, Anastasia is a digital rights activist, since she is a co-founder of DATAWO, a civil society organisation based in Greece advocating about gender equality in the digital era. Anastasia Karagianni was MozFest Ambassador 2023, and Mozilla Awardee for the project “A Feminist Dictionary in AI”– of the Trustworthy Artificial Intelligence working group.