Onkológia 1/2026
Artificial intelligence in oncology: current status, clinical applications, and ethical challenges
Artificial intelligence (AI) is a significant driver of transformation in modern oncology. Deep learning algorithms in radiology, digital pathology, and endoscopy enable early detection and precise identification of predictive biomarkers. In clinical oncology, clinical decision support systems (CDSS) and systemic therapy toxicity prediction models contribute to the individualization of treatment protocols. In radiation oncology, online adaptive radiotherapy and automated treatment planning technologies improve workflow and clinical outcomes. The concepts of digital twins and virtual molecular screening represent new research tools in personalized therapy. AI implementation faces ethical and legal challenges related to the “black box” problem, medical legal liability, and the issue of dehumanization of medicine.
Keywords: artificial intelligence, clinical oncology, radiation oncology, digital pathology, ethics, personalized oncology












