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The aim of our study is the development of an automatic tool for the prioritization of COVID-19 diagnostic workflow in the emergency department by analyzing chest X-rays (CXRs). The Convolutional Neural Network (CNN)-based method we propose has been tested retrospectively on a single-center set of 542 CXRs evaluated by experienced radiologists. The SARS-CoV-2 positive dataset (n = 234) consists of CXRs collected between March and April 2020, with the COVID-19 infection being confirmed by an RT-PCR test within 24 h. The SARS-CoV-2 negative dataset (n = 308) includes CXRs from 2019, therefore prior to the pandemic. For each image, the CNN computes COVID-19 risk indicators, identifying COVID-19 cases and prioritizing the urgent ones. After installing the software into the hospital RIS, a preliminary comparison between local daily COVID-19 cases and predicted risk indicators for 2918 CXRs in the same period was performed. Significant improvements were obtained for both prioritization and identification using the proposed method. Mean Average Precision (MAP) increased (p < 1.21 × 10−21 from 43.79% with random sorting to 71.75% with our method. CNN sensitivity was 78.23%, higher than radiologists' 61.1%; specificity was 64.20%. In the real-life setting, this method had a correlation of 0.873. The proposed CNN-based system effectively prioritizes CXRs according to COVID-19 risk in an experimental setting; preliminary real-life results revealed high concordance with local pandemic incidence. [ABSTRACT FROM AUTHOR]

The Monti 'e Prama site, made famous by the discovery of numerous large stone statues "The Monti 'e Prama giants", is a necropolis located in Sardinia, dated to the X - IX BC. The statues, all depicting men: archers, boxers and fencers, were found collapsed and fragmented, in the immediate vicinity of the burials. The sample of inhumated skeletons consists of 41 individuals, almost all males, who died when adolescents, young adults or, more rarely, mature. Neither children nor elders were present. An interesting question is whether the statues depicted the deceased or could have come from a temple located elsewhere. In this regard, the diagnosis of the age at death is an element of considerable importance, but the skeletal age is difficult to determine in this sample because of the bad state of preservation of the bones, while the teeth are well preserved and have allowed us to reconstruct a seriation in order to seniority on the basis of wear. Since tooth wear is a weak indicator of age, we also used a method based on the deposition of secondary dentine, by the pulp area/tooth area ratio calculation, which gets a greater precision. It was found that the correlation between the degree of wear and pulp area/tooth area ratio is somewhat low, indicating that the two processes, although both age-dependent, do not have a very similar trend. It was also noted that the method of pulp area / tooth area ratio tends to "make the individuals grow old" in cases of discrepancy, but in general confirms the young age of many adults and the absence of the elderly. In this sense, it confirms even the possibility of an association between the deceased and the statues of young athletes or warriors. The results of pulp area/tooth area ratio method, by moving the sample as a whole to ages slightly more advanced than those suggested by wear, offers the hypothesis that the community was characterized by alimentary habits involving a little wearing mastication activity. [ABSTRACT FROM AUTHOR]