In order to reduce transmission of COVID-19, social distancing measures were proposed, including spatial distancing (2 m distance), or even generalized lockdown. Main concern was to prevent overwhelming of the healthcare systems, mainly of the intensive care units (ICUs) by decreasing the spreading of the disease. In Greece, the Government, after consulting with experts in the fields of infectious disease and epidemiology, implemented a rather aggressive stance with an early lockdown.Aim of our study, is to identify and compare the characteristics of cases referred for autopsy during the first month of the lockdown period for the COVID-19 outbreak, versus the cases referred during the same period in 2019.231 autopsy cases were included in our study, 125 in 2019 and 106 in 2020. Regarding gender, age and nationality, no significant differences were detected between the two time periods. Age subgroup analysis demonstrated increased number of cases within the age group 70-79 years, in 2020.As to the place of death, the increase in the percentage of out-of-hospital deaths was not confirmed as statistically significant. Regarding type of death (violent, sudden/unexpected), the drop of violent deaths in the 2020 examined period, was not confirmed as statistically significant; however, further subgroup analysis showed a significant drop of fatal injuries resulting from road traffic accidents in the 2020 period. The slight increase of sudden/unexpected deaths, especially myocardial infarction cases, did not reach statistical significance.One month after lockdown, we cannot detect significant differences in the two time periods examined. Further study should be conducted soon when more data will become available. Frequency of fatal myocardial infarction seems to remain unaffected by the COVID-19 pandemic while deaths resulting from road traffic accidents exhibit a significant decrease. Homicides and suicides remain at low levels, in our jurisdiction area, seemingly unaffected by the COVID-19 outbreak and the subsequent lockdown.It appears that since sudden/unexpected deaths, statistically remain unaffected, the preventive measures taken by the Greek authorities prevented overwhelming of the healthcare system, which could function properly.

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Spinal cord tumors constitute a diverse group of rare neoplasms associated with significant mortality and morbidity that pose unique clinical and surgical challenges. Diagnostic accuracy and outcome prediction are critical for informed decision making and can promote personalized medicine and facilitate optimal patient management. Machine learning has the ability to analyze and combine vast amounts of data, allowing the identification of patterns and the establishment of clinical associations, which can ultimately enhance patient care. Although artificial intelligence techniques have been explored in other areas of spine surgery, such as spinal deformity surgery, precise machine learning models for spinal tumors are lagging behind. Current applications of machine learning in spinal cord tumors include algorithms that improve diagnostic precision by predicting genetic, molecular, and histopathological profiles. Furthermore, artificial intelligence-based systems can assist surgeons with preoperative planning and surgical resection, potentially reducing the risk of recurrence and consequently improving clinical outcomes. Machine learning algorithms promote personalized medicine by enabling prognostication and risk stratification based on accurate predictions of treatment response, survival, and postoperative complications. Despite their promising potential, machine learning models require extensive validation processes and quality assessments to ensure safe and effective translation to clinical practice.

Background Intimate partner violence (IPV) is a well-known phenomenon, which affects mostly women. While IPV victims may attend emergency departments (EDs) seeking medical care, not all of them will make an allegation against their abusers. Objective The aim of this study was to examine the prevalence and the characteristics of the victims, who had made an allegation about the violent incident and had been examined by a forensic pathologist for judicial purposes, and had attended EDs seeking medical care, before the forensic examination. Methods We reviewed the archives of clinical examinations that were conducted at the Department of Forensic Medicine and Toxicology of National and Kapodistrian University of Athens during a 5-year period (2012–16). Results Six hundred sixty-four clinical examinations were conducted at our Department for IPV allegations. According to our findings, women were more likely to seek medical care than men. Victims who have attended EDs were more likely to have sustained injuries located at least on the head or on the lower limbs. Conclusion The majority of IPV victims in the broader region of Attica (Greece) were women, usually married, and aged between 30 and 49 years old. Despite the fact that the majority of IPV incidents are not reported to police, every person who is engaged in the process of dealing with IPV victims has to be educated and adequately informed about this phenomenon, its implications and the possible ways to deal with it. Furthermore, victims need to be educated and informed adequately in waiting rooms of EDs.

Introduction:The close association of dogs with humans may explain the fact that dog bites are possibly the most common animal bites recorded. The relevant data concerning Greece is scarce. We aimed to study this phenomenon by describing its characteristics.Methods: We performed a retrospective analysis of cases concerning dog attack victims, examined our Department, between 2011 and 2019. Recorded variables included sex, age, nationality, occupation, marital status, medical history, ownership status of the dog, injury anatomic location, incident time, the timing of clinical forensic examination, incapacitation time, and medical care provided.Statistical analysis was performed using Stata/MP 13 (Stata Corp., College Station, TX) and IBM SPSS Statistics Version 20 (IBM, Armonk, NY). Statistical significance was defined as a two-sided p value of <0.05.Results: Most incidents involved male victims (54.2%). The victim's mean age was 44.9 years. The dog involved was unowned in 19.8% of cases. The most frequent anatomical site of injury was the legs (48.1%). Older victims suffered injuries in more sensitive areas of the body (head and neck), when compared to younger adults. Only 1.9% of victims required hospitalization. The mean incapacitation time was estimated at 5.39 days.Conclusions: Per our results, males tend more often to be victims of dog attacks. Typically, victims are of increased age and are attacked by a dog already known to them. Most incidents take place during late winter and spring, more specifically during February and during May. The most frequently affected anatomical sites were the legs. Older people suffered injuries in more sensitive areas of the body.