A new ESMO systematic review maps AI’s growing role in pathology and oncology, as well as challenges in its implementation due to infrastructure, regulatory framework and human factors
While many models and tools are designed to support clinical decision-making, AI is already serving cancer research for background tasks, with some potential to educate patients too
New data supports the use of artificial intelligence for the administration of immune-check inhibitors in solid tumours
According to the 2025 ESMO TAT Honorary Awardee, Prof. Philippe Bedard, new technologies have the potential to increase the wealth of information generated from trials and registries
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
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
A study proposes a model that is able to learn broad aspects of cancer–immune interactions from early phase trial data
Well-designed real-world observational studies are hypothesis-generating and impact therapeutic decisions
Recent studies show how digital health apps enhance the patient experience, and improve multiple quality of life domains and in some cases, adherence to treatment, but their integration into the healthcare system is still a challenge
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