AI Can Shorten Cancer Radiation Treatment Duration
AI has been used in radiology to analyse and locate tumours on scans to improve cancer screening. AI-based solutions can assist pathologists in making more accurate and consistent cancer diagnoses, lowering case-error rates. Predictive AI models can assess a person’s likelihood of developing cancer by identifying risk factors.
At Addenbrooke’s Hospital in Cambridge, the National Health Service can now plan radiotherapy treatments more quickly, reducing patient wait times. It assists doctors in determining where to direct therapeutic radiation beams to target malignant cells while sparing as many healthy cells as feasible. Researchers at Addenbrooke’s Hospital worked with Microsoft to train the AI programme.
Typically, physicians spend between 25 minutes and two hours “contouring” or outlining bones and organs on approximately 100 scan cross-sections for each patient. However, researchers say the AI programme operates 1.5 times faster.
For example, physicians want to avoid injuring the adjacent bladder or rectum when treating the prostate organ, as this could leave patients with permanent continence problems.
(With inputs from Shikha Singh)
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