Using artificial intelligence to reduce diagnostic workload without compromising detection of urinary tract infections.
Ross J BurtonMahableshwar AlburMatthias EberlSimone M CuffPublished in: BMC medical informatics and decision making (2019)
Based on the considerable time and cost savings achieved, without compromising the diagnostic performance, the heuristic model was successfully implemented in routine clinical practice in the diagnostic laboratory at Severn Pathology, Bristol. Our work shows the potential application of supervised machine learning models in improving service efficiency at a time when demand often surpasses resources of public healthcare providers.