Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology
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Artificial intelligence (AI) is emerging as a technology with the power to transform established industries, and with applications from automated manufacturing to advertising and facial recognition to fully autonomous transportation. Advances in each of these domains have led some to call AI the "fourth" industrial revolution [1]. ⋯ In Radiation Oncology as well, AI seems poised to reshape the specialty in significant ways, though the impact of AI has been relatively limited at present, and may rightly seem more distant to many, given the predominantly interpersonal and complex interventional nature of the specialty. In this overview, we will explore the current state and anticipated future impact of AI on Radiation Oncology, in detail, focusing on key topics from multiple stakeholder perspectives, as well as the role our specialty may play in helping to shape the future of AI within the larger spectrum of medicine.
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The role of irradiation to non-bulky and bulky sites of disease in advanced stage Hodgkin lymphoma is controversial. We aimed to review the long-term outcomes of patients treated with combined modality therapy to clarify the role of consolidative radiotherapy. ⋯ Patients with advanced stage Hodgkin lymphoma treated with combined modality therapy including consolidative radiotherapy to bulky disease sites had excellent long-term outcomes. Given the low frequency of isolated failures at initial sites, our results suggest that selective radiation therapy to sites at high risk of relapse may be feasible.