Ayhan Comert, Mehmet Aydin, Sevval Coruh, Bilge Nur Aydin, Rustem Mert Cakir, Ismet Akbuga, Hasan Acar
A cross-sectional survey on university students' knowledge, attitudes, and behaviors regarding organ, tissue, and body donation
Surgical and radiologic anatomy : SRA
background normal ranges 99mtc thyroid percentage uptake vary seemingly intuitive evaluation thyroid function reflect complexity thyroid pathology biochemical status emergence artificial intelligence ai nuclear medicine driven problem solving associated logic reasoning warrant reexamination established benchmarks thyroid functional assessment methods 123 patients retrospectively analysed study sample comparing scintigraphic findings grounded truth established biochemistry status conventional statistical approaches used conjunction artificial neural network ann determine predictors thyroid function data features convolutional neural network cnn also used extract features input tensor images results analysis confounded subclinical hyperthyroidism primary hypothyroidism subclinical hypothyroidism t3 toxicosis binary accuracy identifying hyperthyroidism highest thyroid uptake classification using threshold 45 826 followed pooled physician 6interpretation aid uptake values 823 visual evaluation without quantitative values reduced accuracy 610 pooled physician determinations 614 classifying basis thyroid gland intensity relative salivary glands machine learning ml algorithm produced 846 accuracy however included biochemistry features available semantic analysis deep learning dl algorithm accuracy 805 based image inputs alone conclusion thyroid scintigraphy useful identifying hyperthyroid patients suitable radioiodine therapy using appropriately validated cutoff patient population 45 population ml ann algorithms developed improve accuracy second readers systems biochemistry results available dl cnn algorithms developed improve accuracy absence biochemistry results ml dl displace role physician thyroid scintigraphy could used second reader systems minimize errors increase confidence