OBJECTIVES: Artificial Intelligence (AI), particularly deep learning, has significantly impacted healthcare, including dentistry, by improving diagnostics, treatment planning, and prognosis prediction. This systematic mapping review explores the current applications of deep learning in dentistry, offering a comprehensive overview of trends, models, and their clinical significance. MATERIALS AND METHODS: Following a structured methodology, relevant studies published from January 2012 to September 2023 were identified through database searches in PubMed, Scopus, and Embase. Key data, including clinical purpose, deep learning tasks, model architectures, and data modalities, were extracted for qualitative synthesis. RESULTS: From 21,242 screened studies, 1,007 were included. Of these, 63.5% targeted diagnostic tasks, primarily with convolutional neural networks (CNNs). Classification (43.7%) and segmentation (22.9%) were the main methods, and imaging data-such as cone-beam computed tomography and orthopantomograms-were used in 84.4% of cases. Most studies (95.2%) applied fully supervised learning, emphasizing the need for annotated data. Pathology (21.5%), radiology (17.5%), and orthodontics (10.2%) were prominent fields, with 24.9% of studies relating to more than one specialty. CONCLUSION: This review explores the advancements in deep learning in dentistry, particulary for diagnostics, and identifies areas for further improvement. While CNNs have been used successfully, it is essential to explore emerging model architectures, learning approaches, and ways to obtain diverse and reliable data. Furthermore, fostering trust among all stakeholders by advancing explainable AI and addressing ethical considerations is crucial for transitioning AI from research to clinical practice. CLINICAL RELEVANCE: This review offers a comprehensive overview of a decade of deep learning in dentistry, showcasing its significant growth in recent years. By mapping its key applications and identifying research trends, it provides a valuable guide for future studies and highlights emerging opportunities for advancing AI-driven dental care.

• MeSH
• deep learning * MeSH
• lidé MeSH
• zubní lékařství * MeSH
• Check Tag
• lidé MeSH
• Publikační typ
• časopisecké články MeSH
• přehledy MeSH
• systematický přehled MeSH

Pochopení vztahu mezi senzomotorickými proměnnými a exerkiny, které ovlivňují funkci mozku a kognici, nám umožňuje hlouběji porozumět biologickému procesu stárnutí. Hlavním cílem této studie bylo zjistit, jak silně jsou mozkový neurotrofický faktor (brain-derived neurotrophic factor, BDNF), irisin, svalová hmota a svalová síla asociovány s výsledky testů vybraných kognitivních funkcí u starších žen a jak dobře je predikují. Padesát sedm starších žen (průměrný věk 70,4 ± 4,1 roku) absolvovalo baterii neuropsychologických testů, měření izometrické dynamometrie a bioelektrické impedance. Hladiny v krevním séru sledovaných exerkinů byly stanoveny enzymatickým imunosorbentním testem (ELISA). Pro testování predikcí byly využity hierarchické vícenásobné regresní modely. Odhadli jsme, že rozptyl 46,1 % v krátkodobé paměti byl zapříčiněn hladinami BDNF v séru, přičemž druhým statisticky významným prediktorem byl věk (beta = –0,22; p = 0,030). Síla dolních končetin (lower limb strength, LLS) prokázala významnou prediktivní sílu jak u paměti – bezprostřední vybavení (beta = 0,39; p = 0,004), tak u paměti – oddálené vybavení (beta = 0,45; p = 0,001). Hladiny BDNF v séru byly významným prediktorem u oddáleného vybavení (beta = 0,29; p = 0,048). Přidání hladin BDNF do modelu prokázalo významné zvýšení jeho prediktivní síly o přibližně 5,6 % (p = 0,048) u paměti – oddálené vybavení. Index kosterní svalové hmoty (skeletal muscle index, SMI) a úroveň vzdělání byly významnými prediktory mentální flexibility. Byla zjištěna silná pozitivní asociace mezi hladinami BDNF, irisinem, svalovou silou a kognitivní funkcí, přičemž irisin a svalová síla jsou silnými prediktory hladin BDNF u starších žen. Studie byla realizována s podporou grantu Univerzity Karlovy – PRIMUS/19/HUM/012, Specifického vysokoškolského výzkumu SVV 260599, projektu COOPERATIO a Grantové agentury UK číslo grantu 268321. Korespondenční adresa: PhDr. Veronika Holá Katedra gymnastiky a úpolových sportů FTVS UK José Martího 269/31 162 52 Praha 6-Veleslavín e-mail: veronika.hola@ftvs.cuni.cz

Understanding the relationship between sensorimotor variables and exerkines related to brain function and cognition may help better understand biological ageing. The main aim of this study was to determine how strongly brain-derived neurotrophic factor (BDNF), irisin, muscle mass and muscle strength are associated and predict scores on selected cognitive domain tests in older women. Fifty seven older women (mean age 70.4 ± 4.1 years) underwent a battery of cognitive and psychological tests and measurements of isometric dynamometry and bioelectrical impedance. Serum exerkines levels were measured by enzyme-linked immunosorbent assay (ELISA). Hierarchical multiple regression models were used to test the predictions. We estimated that 46.1% of the variance in short-term memory was accounted for by serum BDNF levels, with age being the second statistically significant predictor (Beta = -0.22; p = 0.030). Lower limb strength (LLS) showed significant predictive power in both immediate (Beta = 0.39; p = 0.004) and delayed memory (Beta = 0.45; p = 0.001), serum BDNF levels were a significant predictor in delayed memory (Beta = 0.29; p = 0.048). Adding serum BDNF levels to the model showed a significant increase in predictive power of approximately 5.6% (p = 0.048) in delayed memory. Skeletal muscle index (SMI) and education level were significant predictors of mental flexibility. A strong positive association between BDNF levels, irisin, muscle strength, and cognitive function was found, with irisin and muscle strength being strong predictors of BDNF levels in older women.

• Klíčová slova
• irisin,
• MeSH
• fibronektinová doména typu III fyziologie   MeSH
• kognice fyziologie   MeSH
• kognitivní stárnutí * fyziologie   MeSH
• lidé MeSH
• mozkový neurotrofický faktor krev   MeSH
• neuropsychologické testy * statistika a číselné údaje   MeSH
• paměť fyziologie   MeSH
• prognóza MeSH
• průřezové studie MeSH
• regresní analýza MeSH
• senioři MeSH
• svalová atrofie etiologie   MeSH
• svalová síla fyziologie   MeSH
• Check Tag
• lidé MeSH
• senioři MeSH
• ženské pohlaví MeSH
• Publikační typ
• práce podpořená grantem MeSH

BACKGROUND: Medication non-adherence is a common issue in chronic illness. The World Health Organization has recognized a need for a valid and reliable method of measuring adherence to understand and mitigate non-adherence. This study aimed to psychometrically evaluate the English version of the Adelphi Adherence Questionnaire (ADAQ©), a questionnaire designed to assess patient-reported medication adherence across multiple therapy areas, in patients with Osteoarthritis (OA). METHODOLOGY: Data from the Adelphi OA Disease Specific ProgrammeTM, a survey of physicians and their consulting adult patients with OA conducted in the United States, November 2020 to March 2021, was used to assess the psychometric properties of the ADAQ. Patients completed the ADAQ, Adherence to Refills and Medication Scale (ARMS), Western Ontario and McMaster Universities Arthritis Index (WOMAC), and EQ-5D-3L. The measurement model of the 13-item ADAQ was assessed and refined using latent variable modelling (Multiple Indicator Multiple Cause, confirmatory and exploratory factor analyses, item response theory, Mokken scaling, and bifactor analyses). Correlational analyses (Spearman's rank and polyserial as appropriate) with ARMS, WOMAC, and EQ-5D-3L scores assessed construct validity. Anchor- and distribution-based analyses were performed to estimate between-group clinically important differences (CID). RESULTS: Overall, 723 patients were included in this analysis (54.5% female, 69.0% aged ≥ 60). Latent variable modelling indicated a unidimensional reflective model was appropriate, with a bifactor model confirming an 11-item essentially unidimensional score. Items 12 and 13 were excluded from scoring as they measured a different concept. The ADAQ had high internal reliability with omega hierarchical and Cronbach's alpha coefficients of 0.89 and 0.97, respectively. Convergent validity was supported by moderate correlations with items of the ARMS, and physician-reported adherence and compliance. Mean differences in ADAQ score between high and low adherence groups yielded CID estimates between 0.49 and 1.05 points, with a correlation-weighted average of 0.81 points. CONCLUSION: This scoring model showed strong construct validity and internal consistency reliability when assessing medication adherence in OA. Future work should focus on confirming validity across a range of disease areas.

• MeSH
• adherence k farmakoterapii * psychologie   MeSH
• dospělí MeSH
• hodnocení adherence k farmakoterapii * MeSH
• lidé středního věku MeSH
• lidé MeSH
• osteoartróza * farmakoterapie   psychologie   MeSH
• průzkumy a dotazníky MeSH
• psychometrie * metody   MeSH
• reprodukovatelnost výsledků MeSH
• senioři MeSH
• Check Tag
• dospělí MeSH
• lidé středního věku MeSH
• lidé MeSH
• mužské pohlaví MeSH
• senioři MeSH
• ženské pohlaví MeSH
• Publikační typ
• časopisecké články MeSH
• Geografické názvy
• Spojené státy americké MeSH

The adsorption process efficiently removes per- and polyfluoroalkyl substances (PFAS) from water, but managing exhausted adsorbents presents notable environmental and economic challenges. Conventional disposal methods, such as incineration, may reintroduce PFAS into the environment. Therefore, advanced regeneration techniques are imperative to prevent leaching during disposal and enhance sustainability and cost-effectiveness. This review critically evaluates thermal and chemical regeneration approaches for PFAS-laden adsorbents, elucidating their operational mechanisms, the influence of water quality parameters, and their inherent advantages and limitations. Thermal regeneration achieves notable desorption efficiencies, reaching up to 99% for activated carbon. However, it requires significant energy input and risks compromising the adsorbent's structural integrity, resulting in considerable mass loss (10-20%). In contrast, chemical regeneration presents a diverse efficiency landscape across different regenerants, including water, acidic/basic, salt, solvent, and multi-component solutions. Multi-component solutions demonstrate superior efficiency (>90%) compared to solvent-based solutions (12.50%), which, in turn, outperform salt (2.34%), acidic/basic (1.17%), and water (0.40%) regenerants. This hierarchical effectiveness underscores the nuanced nature of chemical regeneration, significantly influenced by factors such as regenerant composition, the molecular structure of PFAS, and the presence of organic co-contaminants. Exploring the conditional efficacy of thermal and chemical regeneration methods underscores the imperative of strategic selection based on specific types of PFAS and material properties. By emphasizing the limitations and potential of particular regeneration schemes and advocating for future research directions, such as exploring persulfate activation treatments, this review aims to catalyze the development of more effective regeneration processes. The ultimate goal is to ensure water quality and public health protection through environmentally sound solutions for PFAS remediation efforts.

• Publikační typ
• časopisecké články MeSH
• přehledy MeSH

Although the cerebellum contributes to higher-order cognitive and emotional functions relevant to posttraumatic stress disorder (PTSD), prior research on cerebellar volume in PTSD is scant, particularly when considering subregions that differentially map on to motor, cognitive, and affective functions. In a sample of 4215 adults (PTSD n = 1642; Control n = 2573) across 40 sites from the ENIGMA-PGC PTSD working group, we employed a new state-of-the-art deep-learning based approach for automatic cerebellar parcellation to obtain volumetric estimates for the total cerebellum and 28 subregions. Linear mixed effects models controlling for age, gender, intracranial volume, and site were used to compare cerebellum volumes in PTSD compared to healthy controls (88% trauma-exposed). PTSD was associated with significant grey and white matter reductions of the cerebellum. Compared to controls, people with PTSD demonstrated smaller total cerebellum volume, as well as reduced volume in subregions primarily within the posterior lobe (lobule VIIB, crus II), vermis (VI, VIII), flocculonodular lobe (lobule X), and corpus medullare (all p-FDR < 0.05). Effects of PTSD on volume were consistent, and generally more robust, when examining symptom severity rather than diagnostic status. These findings implicate regionally specific cerebellar volumetric differences in the pathophysiology of PTSD. The cerebellum appears to play an important role in higher-order cognitive and emotional processes, far beyond its historical association with vestibulomotor function. Further examination of the cerebellum in trauma-related psychopathology will help to clarify how cerebellar structure and function may disrupt cognitive and affective processes at the center of translational models for PTSD.

• MeSH
• bílá hmota patologie   diagnostické zobrazování   MeSH
• deep learning MeSH
• dospělí MeSH
• lidé středního věku MeSH
• lidé MeSH
• magnetická rezonanční tomografie * metody   MeSH
• mozeček * patologie   diagnostické zobrazování   MeSH
• posttraumatická stresová porucha * patologie   patofyziologie   diagnostické zobrazování   MeSH
• šedá hmota patologie   MeSH
• velikost orgánu MeSH
• Check Tag
• dospělí MeSH
• lidé středního věku MeSH
• lidé MeSH
• mužské pohlaví MeSH
• ženské pohlaví MeSH
• Publikační typ
• časopisecké články MeSH
• metaanalýza MeSH

The goal of this work was to use the Organizational Culture Assessment Instrument (OCAI) diagnostic method to find out the existing and preferred organizational culture in companies in the Czech Republic and then to evaluate their dependence on the size of the organizations. Data were collected in 2019-2021 and evaluated using Microsoft Excel and IBM SPSS 24 statistical program, e.g., descriptive statistics tools, one-sample z-test, analysis of variance and post hoc test (Tukey's honest significant difference - HSD). The research was conducted on a sample of 962 companies across the entire republic and fields. The results of the study show that clan culture prevails in the Czech Republic, which was dominant in all six dimensions. Enterprises in the Czech Republic have a mix of organizational cultures in the following order: (1) clan culture (31.72%), (2) hierarchical culture (25.46%), (3) market culture (21.5%), and (4) adhocratic culture (21.28%). However, with regard to the desired cultural mix, this order changes as follows: (1) clan (35.3%), (2) hierarchical (22.91%), (3) adhocratic (22.63%), and (4) market culture (19.17%). Furthermore, it was found that a statistically significant difference was observed in the assessment of organizational culture depending on the size of the organization in the Czech Republic. A limitation of the research could be the unequal number of respondents in 2020 and 2021, which does not allow comparing differences in the time period. This work can serve as a comparative basis of organizational culture with another national culture.

• Publikační typ
• časopisecké články MeSH

BACKGROUND: It is very difficult to find a consensus that will be accepted by most players when creating health care legislation. The Czech electronic prescription system was launched in 2011 and new functions were introduced in 2018. To ensure that these functions will not conflict with any other existing law, a process modeling tool based on the patent "Method and system for automated requirements modeling" was used successfully in the Czech Republic for the first time. OBJECTIVE: The aim of this project was to develop another successful application of process modeling to add COVID-19 vaccination records to the existing electronic prescription system. METHODS: The method employed was based on the mathematical theory of hierarchical state diagrams and process models. In the first step, sketches that record the results of informal discussions, interviews, meetings, and workshops were prepared. Subsequently, the architecture containing the main participants and their high-level interactions was drafted. Finally, detailed process diagrams were drawn. Each semiresult was discussed with all involved team members and stakeholders to incorporate all comments. By repeating this procedure, individual topics were gradually resolved and the areas of discussion were narrowed down until reaching complete agreement. RESULTS: This method proved to be faster, clearer, and significantly simpler than other methods. Owing to the use of graphic tools and symbols, the risk of errors, inaccuracies, and misunderstandings was significantly reduced. The outcome was used as an annex to the bill in the legislative process. One of the main benefits of this approach is gaining a higher level of understanding for all parties involved (ie, legislators, the medical community, patient organizations, and information technology professionals). The process architecture model in a form of a graphic scheme has proven to be a valuable communication platform and facilitated negotiation between stakeholders. Moreover, this model helped to avoid several inconsistencies that appeared during workshops and discussions. Our method worked successfully even when participants were from different knowledge areas. CONCLUSIONS: The vaccination record process model was drafted in 3 weeks and it took a total of 2 months to pass the bill. In comparison, the initial introduction of the electronic prescription system using conventional legislative methods took over 1 year, involving immediate creation of a text with legislative intent, followed by paragraph-by-section wording of the legislation that was commented on directly. These steps are repeated over and over, as any change in any part of the text has to be checked and rechecked within the entire document. Compared with conventional methods, we have shown that using our method for the process of modification of legislation related to such a complex issue as the integration of COVID-19 vaccination into an electronic prescription model significantly simplifies the preparation of a legislative standard.

• Publikační typ
• časopisecké články MeSH

We herein present an overview of the upcoming 5th edition of the World Health Organization Classification of Haematolymphoid Tumours focussing on lymphoid neoplasms. Myeloid and histiocytic neoplasms will be presented in a separate accompanying article. Besides listing the entities of the classification, we highlight and explain changes from the revised 4th edition. These include reorganization of entities by a hierarchical system as is adopted throughout the 5th edition of the WHO classification of tumours of all organ systems, modification of nomenclature for some entities, revision of diagnostic criteria or subtypes, deletion of certain entities, and introduction of new entities, as well as inclusion of tumour-like lesions, mesenchymal lesions specific to lymph node and spleen, and germline predisposition syndromes associated with the lymphoid neoplasms.

• MeSH
• hematologické nádory * MeSH
• lidé MeSH
• lymfom * patologie   MeSH
• Světová zdravotnická organizace MeSH
• Check Tag
• lidé MeSH
• Publikační typ
• časopisecké články MeSH
• přehledy MeSH

Fabrication of adsorbents with excellent adsorption capacity, outstanding stability, easy separation ability, excellent recyclability and widely generality for organic dyes removal from wastewater remains challenging. Herein, three-dimensional polyaniline/poly(vinyl alcohol)/montmorillonite (PANI/PVAL/MMT) hybrid aerogels with easy separation performance and highly effective reusable adsorption on both anionic and cationic dyes were fabricated by a simple in-situ polymerization method. As-prepared hybrid aerogels were characterized via infrared and Raman spectra, scanning electron microscopy, energy dispersive spectra mapping, small and wide-angle X-ray scattering, thermogravimetric analysis, mercury intrusion porosimetry and elemental analysis. The results showed that MMT particles were successfully incorporated into aerogel matrix. Well-defined hierarchical structure, where PANI nanofibers are coated on the skeleton wall, can be observed for PANI/PVAL/MMT when the incorporation amount of MMT was around 11.1 wt%. The adsorption performance of as-prepared hybrid aerogels on both anionic and cationic dyes was systemically carried out at different solution pH, adsorbent dosage and initial dye concentration. The data analysis showed that the adsorption process for PVAL/PANI/MMT aerogel for Reactive Black 5, methyl orange and safranin followed Freundlich isotherm and the maximum experimental adsorption capacities were found to be 199, 251 and 57.0 mg g-1 at 25 °C, respectively. Mechanism studies indicated that the electrostatic interaction is the main driving force for the adsorption of dyes. The results demonstrated that the fabricated hybrid aerogel is an efficient adsorbent for the removal of both anionic and cationic organic dyes.

• Publikační typ
• časopisecké články MeSH

Stárnutí je proces postupného snižování schopností a funkčních kapacit organismu. Jedná se o univerzální děj se značným stupněm variability, který je charakteristický pro všechny vyšší živočichy. Mezi teoriemi popisujícími stárnutí dominuje v současné době teorie akumulace poškození, která integruje dosud známé mechanismy stárnutí. Teorie se opírá o skutečnost, že při patofyziologických procesech může v lidském těle docházet k nežádoucím změnám, které lze chápat jako poškození. Vlivem průběžné akumulace těchto poškození dochází následně k deterioraci celého systému. Uvádíme základní patofyziologické mechanismy stárnutí (poškození) s ohledem na nejnovější vědecké poznatky a ukazujeme jejich hierarchické souvislosti.

Aging is a process of gradually reducing abilities and functional capacities of the organism. It is a universal process with a considerable degree of variability that is characteristic of all higher animals. Among the theories of ageing, the theory of damage accumulation, which integrates the mechanisms of ageing known to date, is currently widely accepted. This theory is based on pathophysiological processes, injurious changes can occur in the human body. These changes can be understood as damage. Due to the continuous accumulation of damage, the whole system is subsequently deteriorated. The aim of the present work is to characterize the basic pathophysiological mechanisms of aging (damage) in the light of current scientific knowledge and to show them in their hierarchical context.

• MeSH
• genom lidský fyziologie   genetika   MeSH
• lidé MeSH
• senioři nad 80 let MeSH
• senioři MeSH
• stárnutí buněk fyziologie   genetika   MeSH
• stárnutí * fyziologie   genetika   patologie   MeSH
• Check Tag
• lidé MeSH
• senioři nad 80 let MeSH
• senioři MeSH
• Publikační typ
• přehledy MeSH