Doctors at Addenbrooke's Hospital in Cambridge aim to drastically cut cancer waiting times by using artificial intelligence (AI) to automate lengthy radiotherapy preparations.
Dec 17, 2020
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Cardiac CT exams performed to assess heart health also provide an effective way to screen for osteoporosis, potentially speeding treatment to the previously undiagnosed, according to a study published in Radiology.
Jul 14, 2020
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Results from the first study using uEXPLORER to conduct total-body dynamic positron emission tomography (PET) scans in cancer patients show that it can be used to generate high-quality images of metastatic cancer. The research ...
Jul 13, 2020
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Yale doctors have developed a technique to predict whether cancer patients receiving a common chemotherapy drug are likely to experience heart failure as a result.
Jun 19, 2020
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Computed tomography (CT) procedures use ionising radiation to produce images of patients for better medical diagnosis and treatment, often avoiding more invasive tests.
Feb 11, 2020
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Both simple and advanced computed tomography (CT) were effective in accurately predicting which stroke patients would benefit from endovascular thrombectomy to remove a large cerebral clot, but together they were even better, ...
Jan 22, 2020
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Little is known about the origins of manikins—small anatomical sculptures thought to be used by doctors four centuries ago—but now advanced imaging techniques have offered a revealing glimpse inside these captivating ...
Nov 27, 2019
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If you have been diagnosed with cancer, you have probably received at least one CT scan, before or during the course of your treatment, and possibly many more.
Oct 8, 2019
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Case studies from the first total-body positron emission tomography/computed tomography (PET/CT) scanner reveal multiple benefits of the novel imaging technology, providing a solid groundwork upon which to build its clinical ...
Apr 1, 2019
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Using data from computed tomography (CT) images, researchers may be able to predict which lung cancer patients will respond to chemotherapy, according to a new study published in the journal Radiology: Artificial Intelligence.
Mar 20, 2019
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