he lower morbidity and mortality rate as well as the benefits of laparoscopic approach, we should always opt for ES. No guideline for relative surgical indication exists gastroenterologist and surgeon should make a personalized surgical plan. In our opinion, operation should be carried out if diverticulitis reoccurs while the patient is on strict diet. Orv Hetil. 2020; 161(51) 2146-2152. Due to the lower morbidity and mortality rate as well as the benefits of laparoscopic approach, we should always opt for ES. No guideline for relative surgical indication exists gastroenterologist and surgeon should make a personalized surgical plan. In our opinion, operation should be carried out if diverticulitis reoccurs while the patient is on strict diet. Orv Hetil. 2020; 161(51) 2146-2152.Összefoglaló. A tudomány jelenlegi állása szerint - csoportok összehasonlítására épülő matematikai-statisztikai eszközökkel - a leginkább hatékonynak és hatásosnak vélt kezelési módszerek szisztematikus elemzése mentén, a bizonyítékokon alapuló irányelveken nyugvó gyógyító munkát tekintjük követendőnek. A nyaki verőérszűkület ellátása esetén az utóbbi években elkészült mind a hazai, mind az európai irányelv, mindemellett a társszakmák irányelveiben is megjelentek kezelési javaslatok. Közleményünkben összehasonlítottuk a témában publikált magyar, angol, német és olasz nyelvű, valamint az európai társaságok által kiadott irányelveket. Az irányelvek alapelveikben hasonlóak, formailag és tartalmilag azonban jelentős (időnként egymásnak ellentmondani látszó) különbségeket találhatunk. Az ellentmondások három leggyakoribb oka 1) az egyes irányelvek által kitűzött célok különbözősége, 2) az aszimptomatikus és szimptomatikus betegcsoport definíciói, valamint 3) az eltérő evidenciaszintek. Az irányelvek összevetése aly. However, in the case of asymptomatic 70% or greater carotid artery stenosis, the guidelines are quite heterogeneous, and these patients require individual consideration and a vascular team decision is recommended. Orv Hetil. 2020; 161(51) 2139-2145. Neonatal resuscitation involves a complex sequence of actions to establish an infant's cardiorespiratory function at birth. Many of these responses, which identify the best action sequence in each situation, are taught as part of the recurrent Neonatal Resuscitation Program training, but they have a low incidence in practice, which leaves health care providers (HCPs) less prepared to respond appropriately and efficiently when they do occur. Computer-based simulators are increasingly used to complement traditional training in medical education, especially in the COVID-19 pandemic era of mass transition to digital education. However, it is not known how learners' attitudes toward computer-based learning and assessment environments influence their performance. This study explores the relation between HCPs' attitudes toward a computer-based simulator and their performance in the computer-based simulator, RETAIN (REsuscitation TrAINing), to uncover the predictors of performance in computer-based simulation envatal resuscitation training. Implications of this research include the design and development of interactive learning environments that can support HCPs in performing better on neonatal resuscitation tasks. Mindset moderates the strength of the relationship between HCPs' perception of the role that the terminology employed in a game simulator has on their performance and their actual performance in a computer-based simulator designed for neonatal resuscitation training. Implications of this research include the design and development of interactive learning environments that can support HCPs in performing better on neonatal resuscitation tasks. Integrative medicine is a form of medicine that combines practices and treatments from alternative medicine with conventional medicine. The diagnosis in integrative medicine involves the clinical diagnosis based on modern medicine and syndrome pattern diagnosis. Electronic medical records (EMRs) are the systematized collection of patients health information stored in a digital format that can be shared across different health care settings. https://www.selleckchem.com/products/tng908.html Although syndrome and sign information or relative information can be extracted from the EMR and content texts can be mapped to computability vectors using natural language processing techniques, application of artificial intelligence techniques to support physicians in medical practices remains a major challenge. The purpose of this study was to investigate model-based reasoning (MBR) algorithms for the clinical diagnosis in integrative medicine based on EMRs and natural language processing. We also estimated the associations among the factors of sample size, number og diseases. The Word2Vec CNN MBR combined with RBR also showed high performance (accuracy of 0.9229 in the test data set). The diagnosis of lung diseases could enhance the performance of the Word2Vec CNN MBR algorithms. Each group sample size and syndrome pattern type affected the performance of these algorithms. The MBR methods based on Word2Vec and CNN showed high performance in the syndrome pattern diagnosis of lung diseases in integrative medicine. The parameters of each group's sample size, syndrome pattern type, and diagnosis of lung diseases were associated with the performance of the methods. ClinicalTrials.gov NCT03274908; https//clinicaltrials.gov/ct2/show/NCT03274908. ClinicalTrials.gov NCT03274908; https//clinicaltrials.gov/ct2/show/NCT03274908. Expensive optoelectronic systems, considered the gold standard, require a laboratory environment and the attachment of markers, and they are therefore rarely used in everyday clinical practice. Two-dimensional (2D) human pose estimations for clinical purposes allow kinematic analyses to be carried out via a camera-based smartphone app. Since clinical specialists highly depend on the validity of information, there is a need to evaluate the accuracy of 2D pose estimation apps. The aim of the study was to investigate the accuracy of the 2D pose estimation of a mobility analysis app (Lindera-v2), using the PanopticStudio Toolbox data set as a reference standard. The study aimed to assess the differences in joint angles obtained by 2D video information generated with the Lindera-v2 algorithm and the reference standard. The results can provide an important assessment of the adequacy of the app for clinical use. To evaluate the accuracy of the Lindera-v2 algorithm, 10 video sequences were analyzed. Accuracy was evaluated by assessing a total of 30,000 data pairs for each joint (10 joints in total), comparing the angle data obtained from the Lindera-v2 algorithm with those of the reference standard.