Education sets the basis for an AI-driven future of oncology
The deployment of artificial intelligence could lead to substantial advances in cancer care, but collaborative efforts are needed to increase trust among end users
The deployment of artificial intelligence could lead to substantial advances in cancer care, but collaborative efforts are needed to increase trust among end users
Applications in artificial intelligence have the potential to transform precision oncology, but data quality and clinical validation of tools are still challenging
Studies reveal promising evidence for the more precise tailoring of immunotherapy and the role of AI in improving response evaluation
The rapidly increasing integration of AI into many aspects of breast cancer management calls for urgent definition of expected levels of evidence and bespoke regulatory and reimbursement processes
Clinical trials have an impact on the environment, and novel approaches may help researchers reshape their activities toward a greater sustainability
A study proposes a model that is able to learn broad aspects of cancer–immune interactions from early phase trial data
ESMO is at the forefront of digital oncology, with some initiatives that support oncologists navigating the emerging opportunities in the field of real-world data research
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