Irrespective of whether they are intended for collectors or for the fetish market, dolls are being produced to look more and more realistic with such a degree of life-like detail that they can be mistaken for a real person. This paper reports two cases of misidentification due to this increasing similarity: In the first case, a sex doll was mistaken for a corpse; in the second case, a corpse was mistaken for a doll. While in the latter case, only medical laypersons were at the discovery site, in the first case, an emergency doctor had issued a medical certificate of death for the purported corpse. The medicolegal examiner who was subsequently called to the scene could still rectify the misconception on-site. Mistakes of this nature are likely rare phenomena. It, however, remains to be seen if the increasingly life-like appearance of dolls on the one hand, and the increasingly doll-like appearance of some people, e.g., through cosmetic surgery, will lead to a rise in such cases. To avoid misidentification as in the first reported case, it is essential to prepare medical students well for the task of performing a primary external postmortem examination; it is equally important that fully-trained doctors regularly refresh their expertise in this respect.
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http://dx.doi.org/10.1007/s12024-024-00799-3 | DOI Listing |
Cogn Neuropsychiatry
January 2025
Department of Sociology, Philosophy and Anthropology, University of Exeter, Exeter, UK.
Introduction: In this paper, we present a new way of thinking about what is going on in cases of Capgras delusion which is a more varied presentation than represented in the literature. We do this by reflecting on the fundamental nature of identification, and then draw some lessons from this for understanding misidentification in general and Capgras delusion cases in particular. What emerges, through the conceptual tool of "mental files", is a unified, yet pluralistic, account of delusional misidentification of the Capgras type.
View Article and Find Full Text PDFAsian J Transfus Sci
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Department of Transfusion Medicine, Tata Medical Center, Kolkata, West Bengal, India.
Noise in the immunohematological investigations can be described as a false reactivity of red blood cells (RBCs) in serologic testing that is not related to the interaction of RBC antigens and antibodies that the test system is intended to detect. These false-positive reactions can cause confusion during the cross-matching and RBC antibody screening and may result in delays in patient transfusion. Although these antibodies are predominantly clinically insignificant, proper laboratory work-up is indicated to avoid misidentification of a clinically significant antibody as a noise.
View Article and Find Full Text PDFDiagnostics (Basel)
December 2024
Department of Orthodontics, Faculty of Dentistry, Yeditepe University, Istanbul 34728, Turkey.
Cleft lip and palate patients often present with unique anatomical challenges, making dental anomaly detection and numbering particularly complex. The accurate identification of teeth in these patients is crucial for effective treatment planning and long-term management. Artificial intelligence (AI) has emerged as a promising tool for enhancing diagnostic precision, yet its application in this specific patient population remains underexplored.
View Article and Find Full Text PDFAnimals (Basel)
November 2024
Instituto de Biodiversidade e Sustentabilidade (NUPEM), Universidade Federal do Rio de Janeiro (UFRJ), Avenida São José do Barreto, 764, São José do Barreto, Macaé, Rio de Janeiro 27965-045, Brazil.
Mustelidae is the largest and most diverse family within the order Carnivora, encompasses 65 species and 22 genera, and is widely distributed around the world. Mustelids exhibit a multiplicity of coloration patterns, ranging from darker tones, such as black and brown, to lighter tones, such as pale yellow and white. Anomalous colorations in wild mustelids are occasionally reported, but these records are still poorly discussed in the scientific literature and are often subject to misidentification and/or incorrect terminology.
View Article and Find Full Text PDFJ Nat Prod
December 2024
Faculty of Chemistry and Pharmacy, Opole University, pl. Kopernika 11a, 45-040 Opole, Poland.
Linalyl anthranilate (LNA) has been identified in a number of plant extracts and essential oils by various authors using gas chromatography-mass spectrometry (GC-MS). However, the reported retention behavior of LNA in these studies is inconsistent with the retention data provided in the NIST database. Therefore, the objective of this study was to determine whether the reports of LNA were the result of misidentifications in GC-MS analyses or if the linear NIST retention index was inaccurate.
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