Objectives: In the context of a joint Mummy Research Project of the National Archaeological Museum, the Hellenic Institute of Egyptology and the Athens Medical Centre, an Egyptian mummy of the mid-Ptolemaic Period was transferred to our hospital and was thoroughly investigated with Computed Tomography. Methods: The mummy was carefully removed from its coffin and scanned in a 64-detector row computed tomographic scanner. Multiplanar and anthropometric measurements were obtained using advanced software. Results: The mummy appeared to be well-preserved and belonged to a young male adult. Among the findings, the most interesting and uncommon one was the asymmetry of the maxillary sinuses and the orbits. There were no signs of trauma. Conclusions: Computed Tomography revealed in a non-destructive way a rare, based on the published data, facial deformity in an Egyptian mummy attributed to chronic maxillary atelectasis.
We present the Mummy Project of the Hellenic Institute of Egyptology (HIE), in close collaboration with the National Archaeological Museum of Athens (NAM) and the Athens Medical Centre (AMC), as a characteristic case of interdisciplinary study and interaction, not only between Smart Informatics (SI)-and to a lesser extent Artificial Intelligence (AI) and (Archaeo-)Medicine, but also with Egyptology and (Archaeo-)Forensics. We discuss some intriguing results of the CT-Scanning for five out of the nine mummies of the Project and emphasize the Informatics used for Computed Tomography (CT) that opens new ways in the study of the conditions, causes of death and other interesting information connected with humans who died in ancient Egypt at least 2,100 years ago, during the Ptolemaic Era. We show clearly that this consists of a characteristic paradigm of interdisciplinary SI application in Medicine and the health of ancient individuals (based on Smart Computing), providing new insights into the egyptological and archaeological consideration of their theocratic society.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.