首页|University Hospital Zurich Reports Findings in Artificial Intelligence (Challeng es and opportunities in the development and clinical implementation of artificia l intelligence based synthetic computed tomography for magnetic resonance only . ..)
University Hospital Zurich Reports Findings in Artificial Intelligence (Challeng es and opportunities in the development and clinical implementation of artificia l intelligence based synthetic computed tomography for magnetic resonance only . ..)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Artificial Intelligenc e is the subject of a report. According to news reporting originating from Zuric h, Switzerland, by NewsRx correspondents, research stated, “Synthetic computed t omography (sCT) generated from magnetic resonance imaging (MRI) can serve as a s ubstitute for planning CT in radiation therapy (RT), thereby removing registrati on uncertainties associated with multi-modality imaging pairing, reducing costs and patient radiation exposure. CE/FDA-approved sCT solutions are nowadays avail able for pelvis, brain, and head and neck, while more complex deep learning (DL) algorithms are under investigation for other anatomic sites.” Our news editors obtained a quote from the research from University Hospital Zur ich, “The main challenge in achieving a widespread clinical implementation of sC T lies in the absence of consensus on sCT commissioning and quality assurance (Q A), resulting in variation of sCT approaches across different hospitals. To addr ess this issue, a group of experts gathered at the ESTRO Physics Workshop 2022 t o discuss the integration of sCT solutions into clinics and report the process a nd its outcomes.”
ZurichSwitzerlandEuropeArtificial IntelligenceComputed TomographyDrugs and TherapiesEmerging TechnologiesH ealth and MedicineImaging TechnologyMachine LearningMagnetic ResonanceRa diotherapyTechnology
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