Bratisl Med J
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The aim of this study was to define the values of percutaneous ultrasound shear-wave and strain elastography of the pancreas in healthy volunteers. ⋯ We described normal values for pancreatic stiffness using ultrasound elastography by 2D-SWE and strain elastography. Our results indicate changes in values depending on BMI and depth of the pancreas. (Tab. 1, Fig. 5, Ref. 19).
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HBeAg-negative chronic HBV infection is defined by viremia < 2,000 IU/ml (or < 20,000 IU/ml), normal ALT activity and minimal liver fibrosis. Some patients do not meet all the criteria and belong to the so-called grey zone. The aim of the work was to analyse a group of patients with asymptomatic chronic HBV infection, divide them according to the levels of HBV DNA during follow-up and to compare the clinical and laboratory parameters of the patients within the groups. ⋯ Patients with HBeAg-negative chronic HBV infection often have fluctuating HBV DNA and ALT values during follow-ups. Statistically significantly higher proportion of abnormal ALT activity in patients with HBV DNA > 2,000 IU/ml may suggest higher risk of adverse outcomes. Initiation of treatment in such patients is not always necessary unless they also meet the other indication criteria for treatment. The exact definition of the grey zone is currently absent (Tab. 2, Fig. 2, Ref. 16).
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This study examines triage judgments in emergency settings and compares the outcomes of artificial intelligence models for healthcare professionals. It discusses the disparities in precision rates between subjective evaluations by health professionals with objective assessments of AI systems. ⋯ The study consisted of 86 healthcare professionals, comprising 31 Emergency medicine residents (26.5%), 1 paramedic (0.9%), 5 emergency health technicians (4.3%), and 80 nurses (68.4%). Google Bard AI and OpenAI Chat GPT v.3.5 were used as artificial intelligence systems. The responses compared with the answer key to determine each groups efficacy. As planned the responses from healthcare professionals were analyzed individually for acuity level of scenarios. Emergency medicine residents and other groups of healthcare providers had significantly higher numbers of correct answers compared to Google Bard and Chat GPT (n=30.7 vs n=25.5). There was no significant difference between ChatGPT and Bard for low and high acuity scenarios (p=0.821)CONCLUSION: AI models can examine extensive data sets and make more accurate and quicker triage judgments with sophisticated algorithms. However, in this study, we found that the triage ability of artificial intelligence is not as sufficient as humans. A more efficient triage system can be developed by integrating artificial intelligence with human input, rather than solely relying on technology (Tab. 4, Ref. 41). Text in PDF www.elis.sk Keywords: emergency triage, AI applications, health technology, artificial intelligence, emergency management.
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The aim of the presented study was to determine the distribution of HBV genotypes and their influence on selected parameters in patients in eastern Slovakia. ⋯ This is the first HBV genotypes study from Slovakia. We suggest that HBV genotypes may play a role in the virus-host relationship Keywords: chronic hepatitis B, genotypes, hepatitis B virus, prognostic factors, distribution.
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This study aimed to predict individual COVID-19 patient prognosis at hospital admission using artificial intelligence (AI)-based quantification of computed tomography (CT) pulmonary involvement. ⋯ CT quantification of pulmonary involvement using AI-based software helps predict COVID-19 patient outcomes (Tab. 4, Fig. 4, Ref. 38).