DeepMind Health Pioneering Tech for Radiotherapy Treatment with Machine Learning - DATAVERSITY

The release continues, "The purpose of the research collaboration between UCLH and DeepMind is to develop artificial intelligence technology to assist clinicians in the segmentation process so that it can be done more rapidly but just as accurately. Clinicians will remain responsible for deciding radiotherapy treatment plans but it is hoped that the segmentation process could be reduced from up to four hours to around an hour. The research involves anonymised radiotherapy images of up to 700 former head and neck cancer patients who have consented to their data being used for research purposes. Dr Yen-Ching Chang, clinical lead for radiotherapy at UCLH, said: 'This is very exciting research which could revolutionise the way in which we plan radiotherapy treatment. Developing machine learning which can automatically differentiate between cancerous and healthy tissue on radiotherapy scans will assist clinicians in planning radiotherapy treatment. This has the potential to free up clinicians to spend even more time on patient care, education and research, all of which would be to the benefit of our patients and the populations we serve'."