High Quality Research Articles

Breaking Barriers: A Reliable Method for RNA Extraction in Zebrafish Neurodegenerative Research

Zebrafish (<em>Danio rerio</em>) is a vertebrate with unique characteristics, making it an excellent biomedical research animal model. One research area involves investigating changes in gene expression during neurodegenerative processes, aging-related changes, and behavioral studies in zebrafish. To achieve this, high-quality and quantity RNA must be extracted from zebrafish. This study aims to develop an optimized RNA extraction method from zebrafish larvae brains. After rearing and maintaining the zebrafish in suitable conditions, the larvae were separated, and their brains were extracted. Using an optimized TRIzol-based method, RNA was extracted from the zebrafish larvae's brains. For comparison, we also employed commercial kits and Trizol for RNA extraction. The quantity and quality of the extracted RNA were measured using NanoDrop, gel electrophoresis, and real-time PCR. We selected five genes: <em>gapdh</em> and <em>beta-actin </em>as housekeeping genes and three other genes expressed in the brain and nervous system (<em>bdnf, chd8, and lrp6</em>). According to NanoDrop results, all samples were purified with minimal protein and polysaccharide contamination, and the 260/280 ratio and 260/230 ratio fell within the standard range of 1.9-2.2. The amount of extracted RNA significantly increased compared to other methods (P value < 0.0001), and all the studied genes exhibited high expression. RNA extraction demonstrated both high quality and quantity. In summary, we have developed an optimized method for RNA extraction from the brains of zebrafish larvae.

The Relationship between Building Information Modeling (BIM) and Precast Concrete Structures

Due to the fact that a major part of the financial resources of each country is spent in the construction industry of that country, the effectiveness of governments from this industry, especially in developing countries, is very high. In recent years, it has been noticed in the world. Among the advantages of using the prefabricated industry, we can mention the production of parts in a short period of time, low cost and high quality. Currently, many projects undergo such changes that it is necessary to reduce the negative effects imposed on projects by using management techniques and tactics as well as the use of modern technologies. Among the negative effects imposed, we can mention things such as capital wastage (increase in cost), increase in construction time, and at the same time decrease in quality. At the same time, all construction management activities, based on the contract documents, depend on the two categories of plans and project specifications. In the traditional methods of construction management, various executive plans such as structural, architectural and facility plans are prepared separately but in coordination with each other. These maps are two-dimensional and even if three-dimensional maps are prepared from them, the system will not be able to identify mistakes, interferences and changes. The purpose of this article is to examine the relationship between building information modeling and precast concrete structures and the implementation of that system in precast concrete structures.

Radiated Sound and Transmitted Vibration Following the Ball/Racket Impact of a Tennis Serve

Shock-induced vibrations transmitted from the racket to the tennis player’s upper limb have interested researchers, whether for investigating their effect on injury risk, or for designing new equipment. Measuring these vibrations is, however, very challenging in an ecological playing situation: sensors must be of very high quality in order to precisely measure high-energy and broad-frequency signals, as well as non-invasive in order to allow the players to perform their usual movements. The working hypothesis of this paper is that contactless sound recordings of the ball/racket impact carry the same information as direct vibratory measurements. The present study focuses on the tennis serve, as being tennis’ most energy-demanding stroke, therefore possibly being the most traumatic stroke for the upper limb. This article aims (a) to evaluate the propagation of vibration from the racket to the upper limb; and (b) to identify correlations with acoustic signals collected simultaneously. Eight expert tennis players performed serves with three rackets and two ball spin effects. Accelerometers measured the vibration on the racket and at five locations on the upper limb, and a microphone measured the impact sound. Resulting signals were analyzed in terms of energy and spectral descriptors. Results showed that flat serves produced louder sounds, higher vibration levels, lower acoustic spectral centroids, and higher vibratory spectral centroids than kick serves. The racket only had a marginal influence. Similarities between acoustic and vibratory measurements were found (levels were correlated), but so were differences (spectral centroids tended to be negatively correlated), encouraging further studies on the link between sound and vibration for the in situ measurement of shock-induced vibration.

High beam quality and high peak power 1.6 μm deuterium Raman laser

High beam quality and high peak power 1.6 μm deuterium Raman laser

Optimizing the order picking and delivery process to the final recipient

The aim of this study is to analyse and evaluate the order picking process and the transport of products to customers, taking into account the specific characteristics and potential of small and medium-sized industrial enterprises. Scientific standards and selected indicators for measuring the efficiency and quality of transport and order picking processes were used to achieve the intended objectives. The research was conducted in a small, family-owned manufacturing and trading company specialising in the production and sale of wrought iron finishing elements and fences. The analysis covered both internal and external transport processes. It was shown that the order picking process in the studied company is largely based on manual procedures, which, despite high precision, generates time-consuming activities related to the movement of warehouse employees. External transport efficiency indicators showed high efficiency and appropriate use of transport resources. The high quality of deliveries, as measured by on-time and reliability indicators, confirms customer satisfaction. The study was conducted in one company, which is a limitation. Future studies should include more companies from the same sector. Proposed improvements need to be verified sometime after implementation and solutions resulting from data analysis can help SMEs in similar industries to improve their logistics processes. The work brings a new approach to the analysis of order picking and transport processes in the context of SMEs, providing practical solutions and indicating areas for further research. It is aimed at logistics managers, researchers and practitioners interested in optimising logistics processes in the industrial sector.

Heavea brasilienis (Rubber seed oil) as cost effective non edible feedstock for sustainable high quality biofuel production.

Biodiesel is renewable fuel acquired from biomass which has short chain alkyl esters derived from vegetable oil or animal fats. It has greater advantages over traditional diesel oil. In first level esterification, H2SO4 is used because the acid catalyst to decrease the FFA from 4. 5% to 0. 85 %. In 2nd stage, transesterification chemical process was carried with methanol and NaOH, the elevated temperature 600c and response time is 45 min to 75min. Only a few experiments have been carried out for evaluating the results of equation using a Scientific tool.

Performance of OpenAI’s GPT-4 in a mock MRCS Part A Examination

Introduction: OpenAI’s latest iteration of a Large Language Model (LLM); GPT-4 (Generative Pre-trained Transformer 4) has demonstrated its proficiency against various professional examination standards like the USMLE (United States Medical Licensing Examination), FRCS (Fellowship of the Royal Colleges of Surgeons) and the United States Bar. However, GPT-4’s capability with the MRCS (Membership of the Royal College of Surgeons) Part A has not yet been investigated. Methodology: A representative MRCS Part A examination that was prepared and provided by “TeachMeSurgery” based on the MRCS Intercollegiate Curriculum was used to assess GPT-4's performance. Each question was processed via the web-based interface of ChatGPT (Chat Generative Pre-trained Transformer) Plus. Results: GPT-4 scored 87.2% on Applied Basic Sciences (157/180) and 86.7% on Principles of Surgery in General (104/120 questions), achieving an overall score of 261/300 (87%), which is above the typical passing threshold. GPT-4 scored 100% in four out of the eleven predefined curriculum areas, which included: Pharmacology, Microbiology, Data Interpretation and Audit, and The Surgical Care of Children. GPT-4’s weakest performance was in the Medico-Legal Aspects of Surgical Practice, in which it scored 33.3%. Conclusion: GPT-4 successfully passed the mock MRCS Part A without any specialised preparatory training, however further research could look at integrating the GPT-4 model to enhance a trainee surgeon’s learning and use it as an effective tool to deliver high quality & efficient patient care.

The differential effects of eicosapentaenoic acid and docosahexaenoic acid on cardiovascular risk factors: an updated systematic review of randomized controlled trials

Cardiovascular disease remains a major global health concern. The combination of the omega-3 fatty acids eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA) has been shown to beneficially modify a range of cardiovascular risk factors. However, whether EPA and DHA have differential effects or potencies is currently unclear. A systematic review of randomized controlled trials (RCTs) that compared ≥2 g/day of near pure EPA and DHA was conducted. A total of 24 publications from nine unique RCTs were included. EPA and DHA both lower triglyceride levels, with DHA most likely having a slightly greater effect. Furthermore, both EPA and DHA increase high density lipoprotein (HDL) 2 cholesterol, which is cardioprotective, with the increase being greater with DHA. DHA appears to increase low density lipoprotein (LDL) cholesterol; however, DHA also increases LDL particle size, which would render LDL less atherogenic. DHA seems more effective than EPA in decreasing heart rate and blood pressure. Both EPA and DHA alter platelet function decreasing thrombogenicity, although they may have different actions on platelets. Both EPA and DHA decrease F2-isoprostanes, interpreted as a reduction in oxidative stress. They both decrease inflammatory gene expression and promote an anti-inflammatory oxylipin profile. These are all favorable effects with regard to cardiovascular disease risk. Effects of EPA and DHA on blood glucose are inconsistent. This review is constrained by the small number of high quality RCTs that directly compare EPA to DHA and report on outcomes other than blood lipids. There is a need for additional high-quality research to assess the independent effects of EPA and DHA on cardiovascular risk factors (e.g., inflammation, blood pressure, vascular function, platelet function) in larger and more diverse study populations.

Controlled Vapor-Liquid-Solid Growth of Long and Remarkably Thin Pb1-xSnxTe Nanowires with Strain-Tunable Ferroelectric Phase Transition.

The Pb1-xSnxTe family of compounds possess a wide range of intriguing and useful physical properties, including topologically protected surface states, robust ferroelectricity, remarkable thermoelectric properties, and potential topological superconductivity. Compared to bulk crystals, one-dimensional (1D) nanowires (NWs) offer a unique platform to enhance the functional properties and enable new capabilities, e.g., to realize 1D Majorana zero modes for quantum computations. However, it has been challenging to achieve controlled synthesis of ultrathin Pb1-xSnxTe (0 ≤ x ≤ 1) nanowires in the truly 1D region. In this work, we report on a Au-catalyzed vapor-liquid-solid (VLS) growth of remarkably thin (20-30 nm) and sufficiently long (several to tens of micrometers) Pb1-xSnxTe nanowires of high single-crystalline quality in a controlled fashion. This controlled growth was achieved by enhancing the incorporation of Te into the Au catalyst particle to facilitate the precipitation of the Sn/Pb species and suppress the enlargement of the particle, which we identified as a major challenge for the growth of ultrathin nanowires. Our growth strategy can be easily extended to other compound and alloy nanowires, where the constituent elements have different incorporation rates into the catalyst particle. Furthermore, the growth of thin Pb1-xSnxTe nanowires enabled strain-dependent electrical transport measurements, which shows an enhancement of electrical resistance and ferroelectric transition temperature induced by uniaxial tensile strain along the nanowire axial direction, consistent with density functional theory calculations of the structural phase stability.

IMPACT THE TREATMENT TYPES OF RECYCLED CONCRETE AGGREGATES ON CONCRETE STRENGTH

Problem statement. The National Strategy of waste management in Ukraine until 2030 provides the creation of conditions for market development of usage recycled construction and demolishing waste including the ways of characteristic determination to obtain the regulations for recycled construction and demolishing waste that will let re-use and disposal. One of ways the re-use of deconstructed concrete is the obtaining coarse and fine aggregates for subsequent manufacturing of building materials and products. The ordinary way of recycled aggregates obtaining includes crushing stages that do not allow recovering the purified, i. e. cement-free, aggregates. Therefore, it is necessary to search the effective methods of treatments for producing high quality recycled aggregates. The purpose of the article is compressive strength evaluation of concrete samples with usage of aggregates obtained from waste of railway reinforcement concrete sleepers. The comparison of concrete strength has been done for coarse aggregates which are cleaned with mechanical treatment or impregnation by sodium silicate solution. Conclusions. It is established that both the mechanical purification from old cement-sand mortar rests and impregnation enhance physical and mechanical properties concrete comparing to concrete with untreated aggregates. The mechanical treatment increases the compressive strength and reaches 98 % of compressive strength for concrete with natural aggregates. The impregnation of sodium silicate increases at 10 % concrete strength compare with strength of concrete with untreated aggregates. So, both treatment methods of recycled coarse aggregates can be used for concrete manufacturing with appropriate strength.

Unveiling the tradeoff between device scale and surface nonidealities for an optimized quality factor at room temperature in 2D MoS2 nanomechanical resonators

A high quality (Q) factor is essential for enhancing the performance of resonant nanoelectromechanical systems (NEMS). NEMS resonators based on two-dimensional (2D) materials such as molybdenum disulfide (MoS2) have high frequency tunability, large dynamic range, and high sensitivity, yet room-temperature Q factors are typically less than 1000. Here, we systematically investigate the effects of device size and surface nonidealities on Q factor by measuring 52 dry-transferred fully clamped circular MoS2 NEMS resonators with diameters ranging from 1 μm to 8 μm, and optimize the Q factor by combining these effects with the strain-modulated dissipation model. We find that Q factor first increases and then decreases with diameter, with an optimized room-temperature Q factor up to 3315 ± 115 for a 2-μm-diameter device. Through extensive characterization and analysis using Raman spectroscopy, atomic force microscopy, and scanning electron microscopy, we demonstrate that surface nonidealities such as wrinkles, residues, and bubbles are especially significant for decreasing Q factor, especially for larger suspended membranes, while resonators with flat and smooth surfaces typically have larger Q factors. To further optimize Q factors, we measure and model Q factor dependence on the gate voltage, showing that smaller DC and radio-frequency (RF) driving voltages always lead to a higher Q factor, consistent with the strain-modulated dissipation model. This optimization of the Q factor delineates a straightforward and promising pathway for designing high-Q 2D NEMS resonators for ultrasensitive transducers, efficient RF communications, and low-power memory and computing.

A quality assessment tool for focused abdominal sonography for trauma examinations using artificial intelligence.

Current tools to review focused abdominal sonography for trauma (FAST) images for quality have poorly defined grading criteria or are developed to grade the skills of the sonographer and not the examination. The purpose of this study is to establish a grading system with substantial agreement among coders, thereby enabling the development of an automated assessment tool for FAST examinations using artificial intelligence (AI). Five coders labeled a set of FAST clips. Each coder was responsible for a different subset of clips (10% of the clips were labeled in triplicate to evaluate intercoder reliability). The clips were labeled with a quality score from 1 (lowest quality) to 5 (highest quality). Clips of 3 or greater were considered passing. An AI training model was developed to score the quality of the FAST examination. The clips were split into a training set, a validation set, and a test set. The predicted scores were rounded to the nearest quality level to distinguish passing from failing clips. A total of 1,514 qualified clips (1,399 passing and 115 failing clips) were evaluated in the final data set. This final data set had a 94% agreement between pairs of coders on the pass/fail prediction, and the set had a Krippendorff α of 66%. The decision threshold can be tuned to achieve the desired tradeoff between precision and sensitivity. Without using the AI model, a reviewer would, on average, examine roughly 25 clips for every 1 failing clip identified. In contrast, using our model with a decision threshold of 0.015, a reviewer would examine roughly five clips for every one failing clip - a fivefold reduction in clips reviewed while still correctly identifying 85% of passing clips. Integration of AI holds significant promise in improving the accurate evaluation of FAST images while simultaneously alleviating the workload burden on expert physicians. Diagnostic Test/Criteria; Level II.

Electrochemical Characterization of Silver and Iron Ions in Choline Chloride-Ethylene Glycol DES Electrolyte

Solar energy is growing to be an important source of renewable energy in the world, and the need of recycling processes to recover the strategic materials used for this technology are necessary. Ag may be recovered from photovoltaic cells using a Deep Eutectic Solvent (DES), by selectively dissolving Ag from the waste to Ag(I) by use of an Fe(III)/Fe(II) redox couple before the recovery of Ag metal by electrowinning. Electrochemical characterization of Ag and Fe ions in ethaline DES showed that Ag, Ag(I), Fe(II) and Fe(III) ions are stable, and the standard potentials of the relevant reactions are sufficiently far from one another for the electrochemical recovery of Ag. Diffusion coefficient were estimated to be 1.77-4.16 ·10-7 cm2/s and 2.02-3.19 ·10-7 cm2/s for Ag(I) and Fe(II) ions, respectively. High quality Ag deposits were obtained with Fe ions in the solution, and with water content up to 10 wt% in the DES electrolyte.

The contribution of leader–member exchange (LMX) to organisational sustainable development: Results and implications from Kenyan public universities study

We aimed to establish the contribution of leader–member exchange (LMX) to sustainable development of public universities in the emerging country of Kenya. The participants were 320 employees from public universities in Kenya (female = 43.1%; middle level managers = 47.8%, top leadership team = 26.6%; mean year of service = 13 years, SD = 3.6 years). They completed measures on LMX, innovative work behaviour, organisational engagement and sustainable development. Following structural equation modelling, findings showed that high quality LMX characteristics exhibited between leaders and followers significantly contributed to organisational sustainable development. High quality LMX also significantly contributed to employee organisation engagement. The results further revealed that innovative work behaviour was positively associated with sustainable development in that high LMX relationships between leaders and their followers inspired workers to be more innovative in their jobs. Our findings suggest a need for emerging countries’ public universities to incorporate LMX in their policies and procedures for their sustainability. The results indicate that high LMX is a key factor for driving successful public universities in developing country settings.

Innovative In Situ Passivation Strategy for High-Efficiency Sb2(S,Se)3 Solar Cells.

An effective defect passivation strategy is crucial for enhancing the performance of antimony selenosulfide (Sb2(S,Se)3) solar cells, as it significantly influences charge transport and extraction efficiency. Herein, a convenient and novel in situ passivation (ISP) technique is successfully introduced to enhance the performance of Sb2(S,Se)3 solar cells, achieving a champion efficiency of 10.81%, which is among the highest recorded for Sb2(S,Se)3 solar cells to date. The first principles calculations and the experimental data reveal that incorporating sodium selenosulfate in the ISP strategy effectively functions as an in situ selenization, effectively passivating deep-level cation antisite SbSe defect within the Sb2(S,Se)3 films and significantly suppressing non-radiative recombination in the devices. Space-charge-limited current (SCLC), photoluminescence (PL), and transient absorption spectroscopy (TAS) measurements verify the high quality of the passivated films, showing fewer traps and defects. Moreover, the ISP strategy improved the overall quality of the Sb2(S,Se)3 films, and fine-tuned the energy levels, thereby facilitating enhanced carrier transport. This study thus provides a straightforward and effective method for passivating deep-level defects in Sb2(S,Se)3 solar cells.

Perspectives on Death and Dying by the Bereaved Designated Personal Representatives of Women Diagnosed With Metastatic Breast Cancer.

Metastatic breast cancer (MBC) is a complex disease with variability in disease subtype, length of survival, treatment selection, symptom burden, and, ultimately, end-of-life (EOL) care. Influencing factors that contribute to the complexity of this disease are socioeconomic factors, provider differences, and patient and family preferences. Because of this variability, it is challenging for health care providers to know when treatments are no longer helpful but contribute to a poor quality of end-of-life care and a poor death experience for both patients and their families. Determining the unique point, based on their own values and goals, at which patients and their family members feel that MBC treatment becomes unhelpful and unwanted, is difficult to ascertain. Of the 25 individuals who participated in the Quality of Death and Dying survey, 16 individuals participated in an interview to provide a reflection of the patient's EOL experience and its congruence with their wishes. Four major categories emerged as primary priorities essential to high quality end-of-life care, that is, resilience, communication, support, and knowledge. Without tailored and precise care, patients with MBC will continue to receive prolonged, inappropriate, and costly treatment, resulting in a potentially unacceptable poor-quality EOL and death experience.

Benchmarking of HCl-Based Cyclic Deposition / Etch (CDE) and Single Deposition / Etch (DE) Processes for Selective Epitaxial Growth of SiGeC:B Films

In this paper, SiGeC:B growth behaviors at 550 °C, 10 Torr, were studied in a 300 mm industrial Reduced Pressure-Chemical Vapor Deposition reactor using a Si2H6/GeH4/SiH3CH3/B2H6 chemistry. Carbon atoms, for both SiGeC and SiGeC:B layers, were only incorporated into substitutional sites, with concentrations up to ~ 1.4 at%. It appeared that in-situ boron doping at a level of 1x1020 at.cm-3 did not modify the substitutional carbon incorporation. However, carbon and boron atoms were shown to compete for substitutional incorporation sites, as outlined by the increased SiGeC:B films resistivity. Cyclic Deposition / Etch (CDE) and Deposition / Etch (DE) processes were then benchmarked on blanket Si substrates and blanket Si wafers covered with 10 nm of Si3N4, with the aim to achieve selective growth on patterned wafers. The CDE process consisted of 10 cycles with deposition steps at 550 °C, 10 Torr and etch steps at 550 °C, 50 Torr with a very high HCl flow. The simpler DE process consisted in a single deposition step at 550 °C, 10 Torr, followed by a single etch step at 550, 575 or 600 °C, 600 Torr, with a very low HCl flow. CDE and DE processes both resulted in a rather low etch selectivity of 1.8 and produced slightly rough SiGeC:B surfaces. Finally, it was shown that the use of a HCl-based CDE process is not a viable solution to obtain high quality SiGeC:B films on patterned wafers at low growth temperatures. Meanwhile, DE yielded higher quality if slightly rough SiGeC:B layers.

Associations between the multitrajectory neuroplasticity of neuronavigated rTMS-mediated angular gyrus networks and brain gene expression in AD spectrum patients with sleep disorders.

The multifactorial influence of repetitive transcranial magnetic stimulation (rTMS) on neuroplasticity in neural networks is associated with improvements in cognitive dysfunction and sleep disorders. The mechanisms of rTMS and the transcriptional-neuronal correlation in Alzheimer's disease (AD) patients with sleep disorders have not been fully elucidated. Forty-six elderly participants with cognitive impairment (23 patients with low sleep quality and 23 patients with high sleep quality) underwent 4-week periods of neuronavigated rTMS of the angular gyrus and neuroimaging tests, and gene expression data for six post mortem brains were collected from another database. Transcription-neuroimaging association analysis was used to evaluate the effects on cognitive dysfunction and the underlying biological mechanisms involved. Distinct variable neuroplasticity in the anterior and posterior angular gyrus networks was detected in the low sleep quality group. These interactions were associated with multiple gene pathways, and the comprehensive effects were associated with improvements in episodic memory. Multitrajectory neuroplasticity is associated with complex biological mechanisms in AD-spectrum patients with sleep disorders. This was the first transcription-neuroimaging study to demonstrate that multitrajectory neuroplasticity in neural circuits was induced via neuronavigated rTMS, which was associated with complex gene expression in AD-spectrum patients with sleep disorders. The interactions between sleep quality and neuronavigated rTMS were coupled with multiple gene pathways and improvements in episodic memory. The present strategy for integrating neuroimaging, rTMS intervention, and genetic data provide a new approach to comprehending the biological mechanisms involved in AD.

Validation Study of the Parkinson's Disease Stigma Questionnaire (PDStigmaQuest).

Stigma is a relevant aspect of Parkinson's disease (PD). Specific stigma tools are needed to address the complex construct of stigma in PD comprehensively. To test the dimensionality and psychometric properties of the newly developed Parkinson's Disease Stigma Questionnaire (PDStigmaQuest). In this multi-center, cross-sectional study including PD patients and healthy controls, the dimensionality of the PDStigmaQuest was examined through exploratory factor analysis. Acceptability and psychometric properties were investigated. PDStigmaQuest scores of patients and healthy controls were compared. In total, 201 PD patients and 101 healthy controls were included in the final analysis. Results suggested high data quality of the PDStigmaQuest (0.0001% missing data for patients). The exploratory factor analysis produced four factors: felt stigma, hiding, enacted stigma: rejection, and enacted stigma: patronization, explaining 47.9% of variance. An optional work domain for employed patients was included. Moderate floor effects and skewness, but no ceiling effects were found. Cronbach's alpha of 0.85 indicated high internal consistency. Calculated item-total correlations met standard criteria. Test-retest reliability was high (rs = 0.83). PDStigmaQuest scores correlated significantly with other stigma measures (rs = 0.56-0.69) and were significantly higher in patients than in healthy controls and higher in patients with depressive symptoms than in those without. The patient-reported 18-item PDStigmaQuest showed strong psychometric properties of validity and reliability. Our results suggest that the PDStigmaQuest can be used to assess and evaluate stigma comprehensively in PD, which will improve our understanding of the construct of PD stigma.

An Artificial Intelligence Algorithm Integrated into the Clinical Workflow Can Ensure High Quality Acute Intracranial Hemorrhage CT Diagnostic.

Intracranial hemorrhage (ICH) is alife-threatening condition requiring rapid diagnostic and therapeutic action. This study evaluates whether Artificial intelligence (AI) can provide high-quality ICH diagnostics and turnaround times suitable for routine radiological practice. Aconvolutional neural network (CNN) was trained and validated to detect ICHs on DICOM images of cranial CT (CCT) scans, utilizing about 674,000 individually labeled slices. The CNN was then incorporated into acommercial AI engine and seamlessly integrated into three pilot centers in Germany. Areal-world test-dataset was extracted and manually annotated by two experienced experts. The performance of the AI algorithm against the two raters was assessed and compared to the inter-rater agreement. The overall time ranging from data acquisition to the delivery of the AI results was analyzed. Out of 6284 CCT examinations acquired in three different centers, 947 (15%) had ICH. Breakdowns of hemorrhage types included 8% intraparenchymal, 3% intraventricular, 6% subarachnoidal, 7% subdural, < 1% epidural hematomas. Comparing the AI's performance on asubset of 255 patients with two expert raters, it achieved asensitivity of 0.90, aspecificity of 0.96, an accuracy of 0.96. The corresponding inter-rater agreement was 0.84, 0.98, and 0.96. The overall median processing times for the three centers were 9, 11, and 12 min, respectively. We showed that an AI algorithm for the automatic detection of ICHs can be seamlessly integrated into clinical workflows with minimal turnaround time. The accuracy was on par with radiology experts, making the system suitable for routine clinical use.