Home › Scientific Tracks › Artificial Intelligence in Oncology

Artificial Intelligence in Oncology

Digital tools transforming cancer care
RA
Track Chair
Dr. Rebin A. HamaKurdistan Institute for Health Informatics
HS
Co-Chair
Dr. Hemin S. RahmanUniversity of Sulaimani
About This Track

A forward-looking track on machine learning, radiomics, digital pathology, and clinical decision support — with an emphasis on realistic deployment in regional health systems.

8+
Sessions
40+
Speakers
100+
Abstracts Expected
Topics Covered
  • AI in cancer imaging and radiomics
  • Digital pathology and computational diagnostics
  • Clinical decision-support systems
  • AI-assisted radiotherapy planning
  • Data governance, ethics, and validation
  • Building AI capacity in Iraqi healthcare
Abstract Categories
  • Basic and Translational Research — Artificial Intelligence in Oncology
  • Screening, Diagnosis and Imaging — Artificial Intelligence in Oncology
  • Treatment and Clinical Outcomes — Artificial Intelligence in Oncology
  • Supportive Care and Quality of Life — Artificial Intelligence in Oncology
  • Case Reports and Clinical Observations — Artificial Intelligence in Oncology
Learning Objectives
  • Understand the strengths and limits of clinical AI tools
  • Evaluate AI products for local deployment
  • Describe validation and governance requirements
  • Identify collaboration opportunities in health informatics

Join leading experts in artificial intelligence in oncology

Submit your abstract and be part of this global scientific exchange.

Submit Abstract →All Tracks