Evaluating the diagnostic capabilities of artificial intelligence in oncology

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Jana Lipkova, PhD, University of California, Irvine, CA, highlights the growing role of artificial intelligence (AI) in clinical practice, including the development of AI-based diagnostic tools that can provide more accurate diagnoses and stratify patients for treatment. AI models have the potential to reduce healthcare costs by replacing expensive gene sequencing assays with digital biomarkers, and to improve patient screening for clinical trials. However, there is the need to enhance the accuracy and safety of AI models by enabling them to recognize their limitations and abstain from making unreliable predictions. This interview took place at the 2025 European Society for Medical Oncology (ESMO) AI & Digital Oncology Congress in Berlin, Germany.

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