首页|University Hospital Wurzburg Reports Findings in Artificial Intelligence (Re-eva luation of the prospective risk analysis for artificialintelligence driven cone beam computed tomography-based online adaptive radiotherapy after one year of . ..)
University Hospital Wurzburg Reports Findings in Artificial Intelligence (Re-eva luation of the prospective risk analysis for artificialintelligence driven cone beam computed tomography-based online adaptive radiotherapy after one year of . ..)
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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 from Wurzburg, Germany , by NewsRx journalists, research stated, "Cone-beam computed tomography (CBCT)- based online adaptation is increasingly being introduced into many clinics. Upon implementation of a new treatment technique, a prospective risk analysis is req uired and enhances workflow safety." The news correspondents obtained a quote from the research from University Hospi tal Wurzburg, "We conducted a risk analysis using Failure Mode and Effects Analy sis (FMEA) upon the introduction of an online adaptive treatment programme (Wege ner et al., Z Med Phys. 2022). A prospective risk analysis, lacking in-depth cli nical experience with a treatment modality or treatment machine, relies on imagi nation and estimates of the occurrence of different failure modes. Therefore, we systematically documented all irregularities during the first year of online ad aptation, namely all cases in which quality assurance detected undesired states potentially leading to negative consequences. Additionally, the quality of autom atic contouring was evaluated. Based on those quantitative data, the risk analys is was updated by an interprofessional team. Furthermore, a hypothetical radiati on therapist-only workflow during adaptive sessions was included in the prospect ive analysis, as opposed to the involvement of an interprofessional team perform ing each adaptive treatment. A total of 126 irregularities were recorded during the first year. During that time period, many of the previously anticipated fail ure modes (almost) occurred, indicating that the initial prospective risk analys is captured relevant failure modes. However, some scenarios were not anticipated , emphasizing the limits of a prospective risk analysis. This underscores the ne ed for regular updates to the risk analysis. The most critical failure modes are presented together with possible mitigation strategies."
WurzburgGermanyEuropeArtificial In telligenceComputed TomographyDrugs and TherapiesEmerging TechnologiesHea lth and MedicineImaging TechnologyMachine LearningRadiotherapyTechnology
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