2019
DOI: 10.1007/s00264-019-04466-z
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Conflicts, military medicine and war casualties in international Orthopaedics

Abstract: The recent SICOT world orthopaedic surgery and traumatology congress in Oman was a great meeting with thousands of attendees, brilliant talks, educational lectures, instructional courses and seminars, symposia and many free papers presented by speakers from five continents. The International Council of the SICOT is formed by orthopaedic surgeons who represent their respective countries. At the Annual Assembly of the Council some countries were missing. A few colleagues were unable to attend for specific reason… Show more

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Cited by 8 publications
(5 citation statements)
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“…We believe that all efforts should be targeted at this optimistic conception and that technology can be harnessed to facilitate this direction. Medical education and science should be continued and should not be frightened by the crisis; it is the responsibility of a medical doctor to provide medical information and convey knowledge despite casualties [32].…”
Section: Discussionmentioning
confidence: 99%
“…We believe that all efforts should be targeted at this optimistic conception and that technology can be harnessed to facilitate this direction. Medical education and science should be continued and should not be frightened by the crisis; it is the responsibility of a medical doctor to provide medical information and convey knowledge despite casualties [32].…”
Section: Discussionmentioning
confidence: 99%
“…The etiology of injuries was different during the lockdown period, as most traumas occurred at home (82%) compared with 2019, during which sports accidents were the most common cause of injury (34.7%). As most fractures occurred at home, targeted measures should be considered to prevent such injuries effectively [ 20 , 21 ]. The superior limb was the most involved segment for fractures both in the lockdown and control groups.…”
Section: Discussionmentioning
confidence: 99%
“…Vaid et al [ 30 ] developed a methodology by utilizing deep learning methodologies by using chest X-ray reports. This framework was mainly developed based on the convolutional neural networks and transfer learning methodology to identify the malformations structurally and classification of diseases by using a dataset, besides, small in size.…”
Section: Related Workmentioning
confidence: 99%