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Improvements in early detection, diagnosis, and management have decreased cancer-related mortality, however, challenges associated with personalized care remain. Artificial intelligence (AI) combines computer science and robust datasets to enable problem-solving and has applications within the field of oncology.
In this podcast, we hear from Ángel Alberich-Bayarri, PhD, QUIBIM – Quantitative Imaging Biomarkers in Medicine, Valencia, Spain, Matthijs Oudkerk, MD, PhD, University of Groningen, Groningen, Netherlands, and Cesare Piazza, MD, University of Brescia, Brescia, Italy, who discuss applications of AI in oncology, including diagnosis, screening and within radiomics.
By VJOncology5
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Improvements in early detection, diagnosis, and management have decreased cancer-related mortality, however, challenges associated with personalized care remain. Artificial intelligence (AI) combines computer science and robust datasets to enable problem-solving and has applications within the field of oncology.
In this podcast, we hear from Ángel Alberich-Bayarri, PhD, QUIBIM – Quantitative Imaging Biomarkers in Medicine, Valencia, Spain, Matthijs Oudkerk, MD, PhD, University of Groningen, Groningen, Netherlands, and Cesare Piazza, MD, University of Brescia, Brescia, Italy, who discuss applications of AI in oncology, including diagnosis, screening and within radiomics.