Quality Standards Research Articles

MS brain health quality standards: a survey on the reality in clinical practice in Germany

Abstract Background The quality of treatment is especially critical in the context of complex and chronic diseases such as multiple sclerosis (MS). The Brain Health Initiative, an independent international consortium of neurologists, reached a consensus on time-based quality standards prioritizing brain health-focused care for people with MS. Objectives To gain deeper insights into the transferability of these quality standards to a specific area, we conducted a survey among MS experts across various MS centers in Germany. Methods Participants were asked about time frames considered high standards and those currently being implemented in daily routine based on their experience. Results The results reveal a large gap between ideal conceptions and their adaptation in the real world, mostly due to a lack of resources. Conclusions Nevertheless, these guidelines and recommendations can be aspired to as ideals. Consensual and inclusive clinical pathways complemented by measurable quality indicators are needed to improve care and approach these ideals. Neither exists in the current management of MS.

Investigation into Recycling of Iron Oxide Scale on H13 Steel by Low‐Temperature Carbothermal Reduction Method

The current method for recovering iron oxide scale in the steel industry is not economically optimal, especially for high‐alloy scales found in alloyed steel. This study focuses on iron oxide scale containing valuable metals like chromium (Cr), molybdenum (Mo), and vanadium (V). The required carbon addition is calculated based on the iron and chromium oxides in the scale. The effects of varying carbon additions and reduction temperatures on reduction efficiency are thoroughly examined. Kinetic studies show that as temperature and carbon increase, the rate‐limiting step shifts from interfacial diffusion to interfacial reaction. Reduction experiments assess carbon utilization, metallization rate, deoxidation rate, and removal of harmful elements. Results show that high temperatures hinder sulfur (S) and phosphorus (P) removal, and excess carbon reduces carbon utilization efficiency. Optimal conditions are a carbon ratio of 0.2174 and a temperature of 1150 °C. The carbothermic reduction product requires further refinement through conventional ladle slag systems to meet the quality standards for metallic materials. Over 65% of alloying elements are recovered, though phosphorus content remains slightly higher than in finished alloy steel. The materials from this study are suitable as high‐quality intermediates for alloy steel production.

The development of quality standards for career guidance in the United Kingdom

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The extent of practicing quality standards of educational activities in Arabic language lessons

The present study aims at exploring the extent to which the quality standards of educational activities in Arabic language syllabi is practiced. For this goal, the research adopted the descriptive approach. For the objective of the study, the researcher resorted to the mixed method; quantitative and qualitative data collection and analysis. The mixed data collection methods comprised list of quality standards for educational activities, observation card, and semi-structured interviews. The research sample included 28 Arabic language teachers in government schools for boys in Abha city and 4 language teacher supervisors and 4 School Accreditation Evaluation Specialist. The respondents of the sample were distributed as follows: 10 teachers from the upper grades of primary school, 10 Arabic language teachers from intermediate school and 8 teachers from secondary school. The study tools include a list of quality standards of educational activities and a classroom observation card. An observation card was designed to reveal the extent of practicing the quality standards of educational activities in Arabic language courses. Regarding the list of quality standards, the research identified 25 quality standards for educational activities in Arabic language syllabi. Ultimately, the study concluded that the degree of practicing the quality standards of educational activities ranged from 2.28 to 1.18, which means that the degree of practicing them is between average and low. Moreover, the extent of practicing the quality standards of educational activities in Arabic language syllabi as a whole was 1.59, which means that they are practiced at a weak level. Accordingly, the researcher suggested some recommendations and future studies.

Determination of Metal Cadmium (Cd), Copper (Cu), Iron (Fe) and Zinc (Zn) in Drinking Water from The Boring Well of Surbakti Village, Karo District by Atomic Absorption Spectrophotometry Method

Water is an essential requirement for human existence. In addition to traditional water usage, water is essential for enhancing the quality of human existence and facilitating industrial and technological endeavors. An investigation was conducted on the contents of Cadmium (Cd), Copper (Cu), Iron (Fe), and Zinc (Zn) in drinking water from drilled wells in Surbakti Village, Karo District, employing Atomic Absorption Spectrophotometry (AAS) techniques. Sampling occurred during weeks 1, 2, 3, 4, and 5 and was subsequently digested with concentrated nitric acid until a volume of 15 mL was attained. The metal concentrations of Cd, Cu, Fe, and Zn were quantified using Atomic Absorption Spectroscopy (AAS) using a calibration curve. The findings indicated a concentration of Cd at 0.0031 mg/L, Cu at 0.0470 mg/L, Fe at 0.2741 mg/L, and Zn at 0.2929 mg/L. In this instance, Cd produced a greater concentration of drinking water standards compared to Cu, Fe, and Zn. Nonetheless, it nonetheless met the drinking quality standards established by Regulation Minister of Health No. 492/Menkes/Per/VII/2010.

From Waste to Wealth: Entrepreneurial Ventures in Chitosan Extraction for Environmental Sustainability

The degradation of water quality in the environment can be attributed to the discharge of wastewater from shrimp ponds. Conversely, solid waste in the form of shrimp shells presents an entrepreneurial opportunity through the extraction of chitosan, a substance with the potential to enhance water quality while contributing to environmental sustainability. Sampling for this study was conducted at the Vannamei Nusantara Gemilang pond, located in Tambakrejo Village, Malang Regency, East Java. The research employed an experimental methodology with a quantitative approach, supplemented by a literature review. Various doses of chitosan solutions were tested on shrimp pond wastewater. The optimal results were obtained at a dosage of 80 mg/L, significantly outperforming the untreated water. The test outcomes for the 80 mg/L dosage included: BOD (Biochemical Oxygen Demand) at 4.62 mg/L, Nitrite concentration at 0.045 mg/L, turbidity at 3.55 NTU (Nephelometric Turbidity Units), TSS (Total Suspended Solids) at 14.6 mg/L, TDS (Total Dissolved Solids) at 2974 mg/L, pH level at 6.31, and temperature at 31.40°C. Notably, the Total Dissolved Solids (TDS) levels did not meet quality standards, highlighting the need for further process optimization. These findings emphasize the potential of chitosan extraction as a sustainable solution, while also underscoring the importance of continued research into the economic feasibility of this waste-to-wealth approach. Further studies are necessary to refine the wastewater treatment process, quantify the economic benefits, and ensure the long-term viability of this entrepreneurial venture in environmental sustainability.

Exploring alternative manufacturing techniques for high-quality solar cell interconnectors: a comparative study of laser cutting and electric discharge machining

Abstract Solar cell interconnectors are typically crafted from thin foils to establish an electrical connection between two components. For limited production of interconnectors with non-standard dimensions, common production methods (such as stamping and sheet metal processes) cannot be utilized. This article examines alternative techniques, such as Fiber Laser Cutting Machine and Electric Discharge Machining (wire cutting). The laser cutting method did not achieve the desired quality standards, leading to the rejection of the interconnectors. Issues such as burning, local melting, and damage to the silver coating were noted at the edges. The melting of the coating layers formed brittle intermetallic compounds, which can cause cracking and reduce weldability and solderability. In contrast, the Electric Discharge Machining method successfully produces interconnectors with complex shapes by stacking layers of foil. This approach results in high-quality interconnectors that showed no signs of burning or local melting on their edges.

ANALISIS KONTRIBUSI KEPADATAN KENDARAAN BERMOTOR TERHADAP KONSENTRASI KARBON MONOKSIDA (CO) DAN TINGKAT KEBISINGAN DI JALAN SLAMET RIYADI SURAKARTA

<div class="WordSection1"><p><em>In the current era, the transportation is growing rapidly. It has an impact such as air and noise pollution. Carbon monoxide is one of the dangerous pollutants. While the noise comes from the sound of the vehicle engine, horn, and exhaust. Slamet Riyadi street Surakarta is a protocol road that has a high level of vehicle density. So it is necessary to conduct research with the aim of knowing the effect of motor vehicle density on carbon monoxide concentrations and noise levels. The results showed that the concentration of Carbon monoxide on Slamet Riyadi street Surakarta in the morning and evening exceeded the quality standard of 16038.26 µg/Nm<sup>3</sup></em><em>and 16141.58 µg/Nm<sup>3</sup></em><em>. During the day it is still below the quality standard, which is 9425.86 µg/Nm<sup>3</sup></em><em>. Meanwhile, the daytime noise level on Slamet Riyadi street Surakarta which is calculated by the Leq formula also exceeds the quality standard of 82.33 dBA.</em></p></div>

Existing operational standards for field deployments of rapid response mobile laboratories: a scoping review

IntroductionRapid response mobile laboratories (RRML) play an important role in responding to emergencies such as outbreaks and humanitarian crises, working in coordination with national authorities. This scoping review aims to provide evidence to support the development of minimum operational standards for the deployment of RRMLs across the five key workstreams: operational support and logistics, biosafety and biosecurity, laboratory information management system, quality management systems and interoperability and coordination.MethodsWe searched PubMed, MEDLINE, EMBASE and the grey literature focusing on RRML deployment missions. Study characteristics such as year, country, objectives, methods, and findings were extracted and summarized to identify common themes, gaps, and patterns. The results were presented in a narrative format. We ensured methodological rigor by following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR) guidelines throughout the review process.ResultsOut of 163 full-text studies assessed for eligibility, 46 met the inclusion criteria and were analyzed. Six studies addressed the five RRML workstreams. Operational support and logistics are most commonly addressed during pre-deployment phases with a focus on personnel, transport and cold chain management. The application of biosafety and biosecurity protocols is most addressed during the mission execution phase, particularly in the use of personal protective equipment and the implementation of decontamination and disinfection procedures. The laboratory information management system procedures most frequently reported include sample identification and result dissemination protocols. The quality management system workstream overlaps significantly with the other four workstreams, with a strong emphasis on internal and external quality assurance measures. Coordination and interoperability aspects involve maintaining multiple collaborations, ranging from coordinating with local authorities to establishing international partnerships. Common field challenges included interrupted data transfer in areas characterized by poor connectivity and difficulties caused by extreme weather conditions.DiscussionThis review highlights RRML deployment procedures and addresses some critical challenges concerning their deployment. It suggests the provision of a pre-deployment logistics checklist, the use of a pre-determined standardized dataset for inputs to reduce data entry errors and the application of standardized internal and external quality assurance measures.

Mapping the Trade Direction of Indian Rice with Markov Chain Analysis

Agriculture is a cornerstone of India’s economy, with rice being a critical crop that ranks second globally, feeding over half of the world’s population and serving as a staple in Southeast Asia. This study explores the direction of India’s rice trade using Markov Chain Analysis, following an examination of the compound annual growth rate (CAGR) in rice exports to various global regions. Results reveal a 2.26 per cent CAGR in rice production, while export values surged by 16.8 per cent annually. Specifically, the CAGR for rice exports to Iraq and Iran reached 58.6 per cent and 46.47 per cent, respectively. In quantity, India’s rice exports grew by 10.82 per cent, with Iraq and Iran at 44 per cent and 34 per cent. The Transitional Probability Matrix for 2001-2022 indicates strong regional retention, with Africa maintaining 78 per cent of trade value and Asia 93.7 per cent, and similar trends in quantity, where Asia retained 92.6 per cent and Africa 89.1 per cent. These findings highlight India’s potential to diversify rice exports and strengthen its global competitive edge, urging a focus on enhancing processing, transportation, and quality standards for wider market appeal.

Study of the application of UAV and LiDAR to topographic survey of mountainous forest areas – Case study of Win 3 Wind Power Plant Project, Huong Hoa District, Quang Tri Province, Vietnam

Abstract Unmanned Aerial Vehicle (UAV) technology in conjunction with aerial photography and aerial Light Detection and Ranging (LiDAR) was used for topographic surveying of the Win 3 Wind Power Project area, a complex mountainous terrain situated in the Huong Hoa district of Quang Tri province, Vietnam with the primary objective to produce a map with a scale of 1:1,000 with a contour interval of 1.0 m, accompanied by 3D point clouds, a Digital Elevation Model (DEM), and an orthomosaic. Employing the UAV LiDAR system of DJI Matrice 300 RTK, we conduct ed survey flights, achieving a high point density laser scanning of 229 points/m2 and capturing ultra-high-resolution imagery at 4.22 cm/pixel. The integration of aerial LiDAR and photographic data results in a rich and detailed information repository regarding the surveyed terrain demonstrating that UAV LiDAR technology is a robust tool for geographic data collection, particularly in challenging terrain conditions in Vietnam. We also evaluated the accuracy of the created topographic map, achieving results that surpass the technical requirements and quality standards of the project. This underscores the potential and effectiveness of UAV LiDAR technology in the field of large-scale geographic data collection and mapping in Vietnam.

Developing a quality indicator system for evaluating internet plus home care nursing services based on the SERVQUAL model: a Delphi-analytic hierarchy process study

Background In the context of global population aging and the rapid development of information technology, the demand for Internet Plus Home Care Nursing (Internet+ HCN) services have been on the rise, especially in China. Internet+ HCN services have the potential to maximize existing human resources to counter the shortage of medical healthcare services. However, at present, Internet+ HCN services are difficult to scale due to the lack of standardized service quality governance. Quality indicators for service evaluation of Internet+ HCN services are under-defined. Objective To develop a quality indicator system for evaluating Internet+ HCN services, and to shed theoretical light on assessing mHealth service quality from a user experience perspective. Methods An initial quality indicator system was established based on scenarios related to Internet+ HCN services. The Delphi Method was applied to modify the indicators according to experts’ opinions, and the analytic hierarchy process (AHP) was applied to calculate the indicator weight. Finally, a quality indicator system for evaluating Internet+ HCN services was developed based on the SERVQUAL model. Results Altogether, 17 experts from relevant fields such as nursing education, clinical nursing, health management, and health informatics were consulted through email surveys. The response rates in both rounds of Delphi and the AHP were 100%. The average expert authority coefficients were 0.912 and 0.925 respectively in the two rounds of Delphi. Kendall’s W, indicating variation coefficients, ranged from 0.262 to 0.265. Finally, a quality indicator system for evaluating Internet+ HCN services, comprising five primary indicators and 15 secondary indicators, was developed. Primary indicators and their AHP generated the following weights: assurance (0.245), reliability (0.240), tangibles (0.192), responsiveness (0.190), and empathy (0.132). Conclusions By measuring the services quality gap between user expectations and perceptions, the proposed SERVQUAL model-based quality indicator system shows potential in improving the quality of Internet+ HCN services through the perspective of user experiences.

Information and Analytical System Monitoring and Assessment of the Water Bodies State in the Mineral Resources Complex

Currently, one of the most pressing global issues is ensuring that human activities have access to water resources that meet essential quality standards. This challenge is addressed by implementing a series of organizational and technical measures aimed at preserving the ecology of water basins and reducing the level of harmful industrial emissions and other pollutants in the aquatic environment. To guarantee the necessary quality of water resources, monitoring is conducted based on selected parameters using various methods and means of technical quality control. From these results, suitable measures are formulated and applied to maintain water quality. Various scientific works extensively discuss different approaches to water quality management and compliance with specified requirements. Modern strategies for developing water monitoring systems leverage the capabilities of information systems that collect, process, store, and transmit information, enabling the resolution of issues in geographically distributed water bodies in real time. This paper proposes an approach that employs mathematical methods to identify the most significant factors determining water quality and to assess their interrelations using methods of a priori ranking, multivariate correlation regression analysis, and integral quantitative assessment. A hardware and software solution for the development of a unified integrated information and analytical system is proposed. This system enables continuous monitoring and assessment of water bodies based on a set of key parameters, addressing a range of critical tasks. This paper provides a detailed description of the software product, presents a demonstration using real-world data, and discusses the anticipated benefits of implementing such an information and analytical system.

Research on building a biochar production model from agricultural by-products in Gia Lai province

ABSTRACT The impact of climate change on ecosystems and agricultural systems, particularly in key agricultural areas like the Central Highlands of Vietnam, has caused severe soil degradation, water depletion, and desertification, directly affecting productivity and livelihoods. Sustainable agricultural solutions, especially biochar, have gained attention due to their ability to improve soil fertility, retain moisture, and reduce greenhouse gas emissions. This research focuses on developing a biochar production model from agricultural by-products in Gia Lai to meet both domestic and export needs. Biochar was produced through the pyrolysis of coffee by-products, including stems, branches, and fruit husks. The study employs 10 brick kilns (90 m³ capacity) for stems and branches, and 15 steel kilns (300 kg/batch capacity) for fruit husks and leaves. The biochar produced meets export quality standards, with a fixed carbon content ≥70.0%, ash content ≤3.0%, and calorific value ≥7,000 Kcal/kg. Additionally, biochar is combined with the biological agent Trichoderma to produce 1,000 tons of organic microbial fertilizer, surpassing national standards for organic matter content (≥15%) and Trichoderma density (≥1.0x10⁶ CFU/g). Biochar production from agricultural waste not only reduces waste but also contributes to sustainable agriculture in the Central Highlands. The research results show great potential for expanding biochar production models, improving soil health, reducing farming costs, and increasing farmers' income.

Assessing the grey water footprint of pesticide use in the Mendoza wine region (Argentina): implications for sustainable water resources management

This paper assesses the impact of viticulture on water resource quality in the Mendoza wine region using the grey water footprint (GWF) approach to estimate the amount of water required to dilute pesticides commonly used in local vineyards. Our analysis indicates that to progress towards sustainable water management in viticulture, limiting or replacing pesticides with high GWF values is essential. We provide detailed results for 24 fungicides, 7 insecticides, and 7 herbicides, assessed at both microregion and district levels, offering insights into pesticide impacts across both detailed and broader spatial scales. At the microregion level, the herbicide Fluroxypyr-meptyl was found to have the highest GWF (1.10 m³ kg-1), followed by the fungicide Fosetyl-aluminium (0.59 m³ kg-1) and the insecticide Imidacloprid (0.41 m³ kg-1). Our findings also show that pesticide impacts vary at the district level, highlighting the need for localised management strategies. Additionally, the significant variability in GWFs at the local level underscores the necessity for region-specific water quality standards to more accurately assess and manage the environmental impact of pesticide use. This study provides a framework for similar assessments in other viticultural regions, aiding in the development of more informed pesticide management to enhance water resource sustainability.

Two decades of population change in Saudi Arabia: Exploring effective redistribution strategies

Census 2022 of Saudi Arabia was released recently, with 12 years of intercensal interval. Although it appeared provisional having no reports similar to the 2010 census, efforts to analyze, interpret, disseminate, and discuss were essential for building structures and systems at par with demographic trends and patterns. An analysis was carried out with this census data compared to 2004 and 2010 to track population change—demographic pace, trends, and patterns—over the two decades. Data from all three censuses were analyzed with conventional demographic techniques. A reduction in growth was observed with a declining percentage of the childhood population but with an expanding percentage of the adults (working age) indicating a demographic dividend resulted, mostly, from fertility decline. An aging trend established by the previous censuses was lost, recently: the constriction of the pyramid of 2010 was changed to a different shape. Not only the percentage distribution trends were uneven but also the age-based indices. Thus, these trends revealed a demographic difference to an extent, that demands standardized reports, uniform procedures for the data collection and compilation, and geographic distribution equations. The increasing concentration in urban centers of major administrative areas—Al-Riyadh, Makkah Al-Mokarramah, and the Eastern Region demand redistribution policies. Self-contained townships appear as a strategic option in population redistribution, guaranteeing quality standards and lifestyle.

Abstract 4138019: eQTL Analysis of the PAH Biomarker CCN2 Identifies a Novel SNP that Associates with Survival

Background: We recently determined that cellular communication network factor 2 (CCN2) (also known as IGFBP8) levels associate with metrics of severity, and survival, in pulmonary arterial hypertension (PAH). While genetic variants that modify CCN2 gene expression have been described, the variants across the genome that associate with CCN2 protein levels in human circulation remain unknown. Research Question: We sought to identify genetic variants associated with circulating levels of CCN2 and to determine those variants’ relationship with clinical severity and survival. Methods: Serum CCN2 was measured by ELISA in subjects from a national sample repository, the PAH Biobank. A genome wide association study (GWAS) for CCN2 (natural log transformed) was performed in White idiopathic PAH (IPAH) PAH Biobank participants (n = 768) using Illumina OMNI5 genotypes in plink after standard quality control. Subsequent exploration of the SNP of interest was conducted in a separate dataset of 687 White PAH participants (n=360 IPAH, n=313 APAH) linked to genetic and clinical data, including REVEAL 2.0 risk score assessment (divided into low, medium, and high-risk levels) and outcomes (the STRIDE (Sitaxsentan To Relieve Impaired Exercise) trials cohort). Results: In the PAH Biobank, using GWAS, we found CCN2 levels were significantly associated with rs9493157 (p = 2.8 x10 -12 ) ( Figure A ). rs9493157 is reported in the Genotype-Tissue Expression (GTEx) portal to be an eQTL for CCN2 expression in the left ventricle. In the STRIDE cohort, the hazard ratio (HR) for death was 1.33 (99% CI 1.03 to 1.72) for participants with one or more T alleles (p=0.027; ( Figure B )). On multivariate analysis, the HR for death was 1.28 (95% CI 0.99 to 1.66; p=0.060). Among subjects with the highest REVEAL2.0 risk, those with a T allele had worse survival than those no T allele, with best survival among those with low a REVEAL2.0 score and no T allele. Conclusions: In White PAH subjects, rs9493157 associates with human levels of serum CCN2, a known biomarker for PAH. While additional studies are warranted, the T allele associates with worse survival and may enhance the prognostic value of the REVEAL2.0 risk score.

Potential for Science Laboratory Development: A SWOT Analysis

The laboratory is inseparable from the learning process at the Faculty of Science and Technology. Therefore, it is important to have quality standards that are a benchmark and reference in laboratory work. These quality standards include laboratory buildings/rooms, quality control, facilities and equipment, risk management, and waste disposal. Laboratories that comply with these standards have great potential to grow. This study aims to identify strategies to implement in the management and development of the Faculty of Science and Technology laboratories. This study uses a SWOT analysis method through a qualitative approach obtained from interviews with laboratory heads and workers. The SWOT analysis results show that the FST laboratory is in quadrant I, where strengths and opportunities can be utilized. The results of IFE internal factors and EFE external factors obtained a strength and opportunities (SO) value of 3.75, strength and threats (ST) of 3.55, weakness and opportunities (WO) of 3.64; and weakness and threats (WT) of 3.44 indicate a fairly good position. The data from this research can be used as a reference in designing the formulation of the right strategy for developing the Faculty of Science and Technology laboratory. The latest research significantly contributes to the potential development of science laboratories at the university level under the Ministry of Religion.

QLTI-05. EUROPEAN NEURO-ONCOLOGY QUALITY ASSURANCE (ENOQUA): AN EORTC BRAIN TUMOR GROUP STUDY

Abstract INTRODUCTION Neuro-Oncology, a complex and multidisciplinary field that is relatively recent, lacks well-established quality assurance measures and standards for patient care. METHODS We assessed the performance of 14 potential quality indicators across 19 EORTC Neuro-Oncology centers to validate these indicators as effective measures of quality. For each center, we abstracted records from 20 patients diagnosed with glioblastoma in 2018 who were not enrolled in an investigational study. We tested associations between patient survival, center characteristics, and the performance of these quality measures. RESULTS Most centers met several standard requirements, suggesting their potential acceptance for prospective validation. IDH expression data was universally recorded in the patients’ chart. Performing MRI within 72 hours of surgery and providing patient education for chemotherapy correlated with improved overall survival (OS). Standards met in the majority of centers were the presence of a multidisciplinary plan, a radiation plan and the extent of surgery recorded in the chart, as well as the referral for radiation within six weeks of diagnosis. Preliminary results indicate that academic centers outperformed others in most measures, although analysis is ongoing. Performance varied significantly across centers; some standards were consistently met poorly, highlighting areas needing improvement. Lack of universal acceptance of certain practices as necessary and/or important may render some standards inappropriate for further development. Final analysis will be presented at the meeting. CONCLUSION We are developing a comprehensive set of standards and measures for QA in neuro-oncology, which will require future prospective validation.

Revolutionizing Cytology and Cytopathology with Natural Language Processing and Chatbot Technologies: A Narrative Review on Current Trends and Future Directions

The application of chatbots and Natural Language Processing (NLP) in cytology and cytopathology is an emerging field, which is currently characterized by a limited but growing body of research. Here, a narrative review has been proposed utilizing a standardized checklist and quality control procedure for including scientific papers. This narrative review explores the early developments and potential future impact of these technologies in medical diagnostics. The current literature, comprising 11 studies (after excluding comments, letters, and editorials) suggests that chatbots and NLP offer significant opportunities to enhance diagnostic accuracy, streamline clinical workflows, and improve patient engagement. By automating the extraction and classification of medical information, these technologies can reduce human error and increase precision. They also promise to make patient information more accessible and facilitate complex decision-making processes, thereby fostering greater patient involvement in healthcare. Despite these promising prospects, several challenges need to be addressed for the full potential of these technologies to be realized. These include the need for data standardization, mitigation of biases in Artificial Intelligence (AI) systems, and comprehensive clinical validation. Furthermore, ethical, privacy, and legal considerations must be navigated carefully to ensure responsible AI deployment. Compared to the more established fields of histology, histopathology, and especially radiology, the integration of digital tools in cytology and cytopathology is still in its infancy. Building on the advancements in related fields, especially radiology’s experience with digital integration, where these technologies already offer promising solutions in mentoring, second opinions, and education, we can leverage this knowledge to further develop chatbots and natural language processing in cytology and cytopathology. Overall, this review underscores the transformative potential of these technologies while outlining the critical areas for future research and development.