Clinical oncology (Royal College of Radiologists (Great Britain))
Jan 5, 2022
Manual segmentation of target structures and organs at risk is a crucial step in the radiotherapy workflow. It has the disadvantages that it can require several hours of clinician time per patient and is prone to inter- and intra-observer variability...
Clinical oncology (Royal College of Radiologists (Great Britain))
Dec 23, 2021
Ethical artificial intelligence (AI) frameworks can be the catalyst in improving the safety and wellbeing of people when developing AI systems. In 2020 Rolls-Royce released its ethical and trustworthiness toolkit, The Aletheia Framework, which helps ...
Clinical oncology (Royal College of Radiologists (Great Britain))
Dec 23, 2021
Modern artificial intelligence techniques have solved some previously intractable problems and produced impressive results in selected medical domains. One of their drawbacks is that they often need very large amounts of data. Pre-existing datasets i...
Clinical oncology (Royal College of Radiologists (Great Britain))
Dec 16, 2021
Artificial intelligence, and in particular deep learning using convolutional neural networks, has been used extensively for image classification and segmentation, including on medical images for diagnosis and prognosis prediction. Use in radiotherapy...
Clinical oncology (Royal College of Radiologists (Great Britain))
May 1, 2025
Artificial intelligence (AI) will impact a large proportion of jobs in the short to medium term, especially in the developed countries. The consequences will be felt across many sectors including health care, a critical sector for implementation of A...