Citations

Background: The integration of artificial intelligence (AI) in dental and maxillofacial radiology is revolutionizing diagnostic accuracy and clinical decision-making. This bibliometric analysis investigates the research landscape, emerging trends, and scholarly impact of AI applications in this specialized field. Methods: A comprehensive search was conducted on 25 December 2024 using the Web of Science Core Collection database. Data analysis tools, including VOSviewer, CiteSpace, and Biblioshiny, were employed to examine publication trends, global contributions, collaborative networks, and keyword dynamics. Results: The analysis revealed a marked increase in AI-related publications in dental and maxillofacial radiology, particularly from 2016 onward. The number of studies rose steadily, reaching 218 publications in 2024. The United States led in research output, followed closely by China and South Korea, with KU Leuven emerging as the top-contributing institution. Reinhilde Jacobs was identified as the most prolific author, while Medical Physics was the most cited journal. Co-citation analysis highlighted influential works by authors such as J.H. Lee and F. Schwendicke . Keywords including “artificial intelligence,” “deep learning,” “CBCT,” and “classification” dominated research discussions, reflecting the field’s evolving focus. Recent research trends emphasize advanced applications in segmentation, accuracy enhancement, and predictive modeling. Conclusion: AI has become integral to the advancement of dental and maxillofacial radiology, offering significant improvements in diagnostic precision and treatment planning. This study underscores the importance of staying abreast of AI innovations to enhance patient care and foster future research opportunities. Researchers and clinicians are encouraged to adopt AI-driven approaches to maximize clinical efficiency and outcomes.

ABSTRACT Importance Rural-urban disparities in chronic disease prevalence are well established; however, the extent to which individual-level socioeconomic status (SES) contributes to these disparities remains unclear. Objective To examine the associations of rurality and SES with the prevalence of five most burdensome chronic diseases among adults. Design We conducted a retrospective cross-sectional study of adults across 27 Upper Midwest counties using the Expanded Rochester Epidemiology Project (E-REP) medical record data linkage system to evaluate associations between rurality, SES and chronic disease prevalence. Prevalence of clinically diagnosed asthma, diabetes, hypertension, coronary heart disease, and mood disorders was identified from International Classification of Diseases ICD9/10 codes over a five-year period (2014-2019). Setting Population based Participants Adults over 18 years residing in the 27 E-REP counties, excluding those missing rural-urban residence status. Exposure HOUSES index, an individual-level measure of SES, served as the primary measure, while rurality based on Rural Urban Commuting Area (RUCA) codes 4-10 was the secondary measure. Main Outcome Prevalence of the five clinically diagnosed chronic diseases was identified using ICD9/10 codes from 2014–2019. Mixed effect logistic regression models were used and adjusted for demographics and general medical examination receipt, to assess rural-urban and SES differences for prevalence of each chronic disease. Results Among 455,802 adults with available HOUSES index, 42.8% lived in rural areas, 53.8% were female and 87.4% were non-Hispanic White. In the unadjusted analysis, rural and urban populations showed comparable asthma and CHD prevalence, while mood disorders, hypertension, and diabetes were more common in urban areas. After adjusting for demographic factors and healthcare utilization, rural-urban differences were no longer statistically significant, whereas SES remained strongly associated with all diseases in a dose response manner (e.g., adjusted Odds Ratio for hypertension (ref: HOUSES index Q4): 1.14, 1.27, and 1.42 for HOUSES index Q3, Q2, and Q1, respectively). Conclusions and Relevance Individual-level SES measured by the HOUSES index, was more strongly associated with chronic disease prevalence than rurality, supporting its integration into population health assessment and risk stratification.

Background: Pancreatitis significantly alters the microbial composition of the oral and intestinal compartments, causing dysbiosis that may contribute to disease mechanisms and potentially serve as a basis for diagnosis or treatment. Objective: To determine whether the oral or gut microbial signature can classify chronic pancreatitis (CP). Methods: Stool samples (n=707) were collected from participants in the Prospective Evaluation of Chronic Pancreatitis for Epidemiologic and Translational Studies (PROCEED). Samples were distributed among 200 healthy (HC), 310 CP, 49 acute pancreatitis (AP), and 148 recurrent acute pancreatitis (RAP). In addition, saliva samples were collected for a subset of participants (n=156). Whole genome sequencing was performed to assess microbiome composition. Machine learning algorithms were utilized to identify a signature with microbial features predictive of CP. Results: Gut alpha diversity was significantly decreased in AP, RAP, and CP compared with HC, with CP exhibiting the lowest diversity. In contrast, oral microbial diversity showed no significant variation across groups. Beta diversity analysis revealed distinct gut microbiome compositions between HC and pancreatitis subtypes, with CP showing the most pronounced differences. Random forest models using gut microbial species demonstrated robust predictive performance for CP using a minimum of 10 species (Area under the curve—AUC: 0.834; accuracy: 0.774). Despite similarities in gut microbiome composition across pancreatitis subtypes, a unique gut microbial signature for CP was identified highlighting the microbiome’s potential in CP diagnosis. Conclusion: Our study reveals a gut microbial signature predictive of CP using machine learning models in a large US multi-institutional cohort.

ABSTRACT Background Diabetic ketoacidosis (DKA) is a severe diabetes complication managed with fluids, insulin and electrolyte correction. This review evaluates the debated effectiveness of bicarbonate therapy on DKA outcomes. Methods Following PRISMA guidelines, we systematically reviewed studies on bicarbonate therapy in DKA. We searched PubMed, Google Scholar, the Cochrane Library and ClinicalTrials.gov (as of August 2024), including studies on patients with DKA. Meta‐analysis was conducted using RevMan. Bias risk was assessed with the Newcastle‐Ottawa Scale (NOS) for cohort studies, Cochrane's ROB‐2 for RCTs and the Joanna Briggs Institute (JBI) Scale for case series. Prospero ID: CRD42024581810. Results Eight studies, including 646 patients, met the inclusion criteria. Participants' mean ages spanned from approximately 9.7 years to 45.8 years. Bicarbonate therapy did not significantly improve pH levels (mean difference = −0.02, 95% CI [−0.13, 0.09], p = 0.7), time to resolution of acidosis (mean difference = 0.09 h, 95% CI [−2.6, 2.79], p = 0.95) or potassium levels (mean difference = −0.10, 95% CI [−0.49, 0.29], p = 0.61). Bicarbonate therapy was associated with a marginally longer duration of hospital stay (mean difference = 13.63 h, 95% CI [0.23, 27.03], p = 0.05), although the overall effect size was small. No significant difference was observed in the incidence of hypoglycemia (odds ratio = 2.62, 95% CI [0.59, 11.63], p = 0.20). High heterogeneity was observed across most outcomes, mainly due to variability in study protocols and patient populations. Conclusion Bicarbonate therapy provided no meaningful clinical benefit in the routine management of DKA and was associated with potential harm, including worsened hyperglycemia. Consistent with current guidelines, its use should be restricted to cases of severe acidemia (pH < 6.9). Further high‐quality studies are needed to clarify its role in extreme acidosis and to explore alternative buffering strategies.

Abstract Background A unified definition of prosthetic joint infection outcomes (PJI) is crucial for consistent data, study comparisons, and better care. This study systematically reviews how PJIs outcomes are defined, building on our prior research on native vertebral osteomyelitis and postoperative spinal infection.Figure 1Network plot illustrating the co-occurrence of outcome criteria in prosthetic joint infection studies. Edge thickness reflects the frequency of the co-occurrence of each criterion. Each plot highlights one criterion, namely (1) clinical signs, (2) imaging, (3) microbiology, (4) histopathology, (5) antibiotics-related, (6) surgical-related, (7) mortality. Methods We conducted a comprehensive search of the Cochrane, Embase, Medline, and Scopus databases for studies published after 2005 that clearly defined outcomes for PJI. Eligible studies included randomized controlled trials and cohort studies with a minimum of 10 patients diagnosed with PJI. Our methodology adhered closely to the PRISMA guidelines. Using a saturation approach, we extracted and grouped explicit definitions of PJI outcomes into thematic criteria. A network plot (Figure 1) was used to visualize how frequently these criteria appeared and how they co-occurred across the included studies. Results Out of 7,584 screened studies, 552 (7.3%) met the inclusion criteria. This pilot analysis included 49 randomly selected studies (8,162 patients), mostly retrospective (48/49, 98%), focusing on mixed joint replacements (25/49, 51%), two-stage exchanges (15/49, 31%), or mixed surgeries (24/49, 49%). Only 6/49 (12.2%) applied a society-endorsed definition, and 13/49 (26.5%) cited a reference for their outcome definitions. Overall, 32/49 (65.3%) explicitly defined "success," 35/49 (71.4%) defined "failure," and 16/49 (32.7%) defined both. Most studies (25/49, 51%) had follow-up periods over two years, and 14/49 (28.6%) included patient-reported outcomes, identifying 14 unique PROMs (most commonly UCLA, HHS, and KSS scores). Functional outcomes were assessed in 13/49 (26.5%) studies. We identified 16 distinct outcome criteria across seven categories: clinical signs, microbiology, imaging, histopathology, antibiotics-related, surgical-related, and mortality. Network analysis revealed strong links among clinical signs, microbiology, surgical factors, mortality, and imaging. Conclusion Our pilot study found major variation in PJI outcome definitions, with few standardized criteria. A consensus-driven approach is needed to strengthen evidence synthesis and advance patient care in PJI. Disclosures All Authors: No reported disclosures

Abstract Molecular profiling of human primary cell types is essential for understanding human biology. We present a transcriptome and proteome map of 28 primary human cell types. Three major clusters of epithelial, endothelial, and mesenchymal cell types were observed in both the transcriptome and proteome levels along with the discovery of cell type enriched molecules including GRAP and C1orf116. The epithelial cell specific protein C1orf116 was further validated using immunohistochemistry across various human tissues. An exhaustive protein database search considering 39 post-translational modifications (PTMs) revealed novel insights into the PTM landscape including identification of understudied PTMs such as serine O-acetylation and histidine methylation. This also enabled comprehensive characterization of proteins with diverse PTMs. Interestingly, an unexpectedly higher frequency of dioxidation on tryptophan compared to methionine led to the identification of oxidative mitochondria complex subunit proteins. Further, a search strategy accounting for alternative translational start sites, splice junctions and translational readthrough refined genome annotation using proteomic evidence. For example, peptides from translational readthrough including extended sequence of LDHB and MDH1 were detected representing the first peptide-level evidence of these protein readthrough isoforms. Our comprehensive transcriptome and proteome data revealed cell type-specific molecular cues and heterogeneity, offering new insights into disease mechanisms often overlooked by tissue proteomics.

Abstract Disclosure: A. Omayer: None. A. Sharif: None. A. Kc: None. S. Hoque: None. H. BaniHani: None. L. Khaled: None. A. Holeihel: None. U.A. Khawaja: None. Background: Diabetic ketoacidosis (DKA) is a life-threatening complication of diabetes mellitus that is often managed with fluid resuscitation, insulin therapy, and correction of electrolyte imbalances. Bicarbonate therapy is commonly used to correct acidosis, but its effectiveness remains debated. This systematic review and meta-analysis aimed to assess the impact of bicarbonate therapy on clinical outcomes in DKA patients. Methods: Following the PRISMA guidelines, we performed a systematic review of studies assessing the use of bicarbonate therapy in DKA. We searched PubMed, Google Scholar, Cochrane Library, and ClinicalTrials.gov for studies published up to August 2024. Studies were included if they involved DKA patients with initial pH ≤7.30 or glucose &gt;250 mg/dL, and compared bicarbonate therapy with standard care. Data on outcomes were extracted, including pH levels, duration of hospital stay, time to resolution of acidosis, potassium levels, and incidence of hypoglycemia. We performed a meta-analysis using RevMan, with a random-effects model for most outcomes and fixed-effects for specific analyses. The risk of bias was assessed using the Newcastle-Ottawa Scale (NOS), Cochrane's ROB-2 tool and The Joanna Briggs Institute (JBI) Scale for cohort studies, randomized controlled trials (RCTs) and case series respectively. Results: Eight studies, including 646 patients, met the inclusion criteria. The included studies were conducted in various countries and represented diverse populations, with sample sizes ranging from 20 to 232 participants. Participants' mean ages spanned from approximately 9.7 years to 45.8 years. The proportion of male participants varied significantly, from 40.6% to 54.3%. Bicarbonate therapy did not significantly improve pH levels (mean difference = -0.02, 95% CI [-0.13, 0.09], p = 0.7), time to resolution of acidosis (mean difference = 0.09 hours, 95% CI [-2.6, 2.79], p = 0.95), or potassium levels (mean difference = -0.10, 95% CI [-0.49, 0.29], p = 0.61). Bicarbonate therapy was associated with a marginally longer duration of hospital stay (mean difference = 13.63 hours, 95% CI [0.23, 27.03], p = 0.05), although the overall effect size was small. No significant difference was observed in the incidence of hypoglycemia (odds ratio = 2.62, 95% CI [0.59, 11.63], p = 0.20). High heterogeneity was observed across most outcomes, mainly due to variability in study protocols and patient populations. Conclusion: Bicarbonate therapy in DKA does not appear to provide significant clinical benefits in pH correction, resolution of acidosis, or potassium balance and may lead to a slightly prolonged hospital stay. Given the high heterogeneity of included studies, further well-designed trials are needed to establish more precise guidelines on bicarbonate use in DKA management. Presentation: Saturday, July 12, 2025

Background: Supine hypertension, or elevated blood pressure while lying down, is often underrecognized in clinical settings. Though more common in older adults and those with autonomic dysfunction, its long-term cardiovascular impact remains unclear. Growing evidence suggests it may contribute to higher risks of cardiovascular disease (CVD), stroke, heart failure, and mortality. Methods: A meta-analysis evaluated the association between supine hypertension and primary cardiovascular outcomes were searched using standard electronic databases. MeSh term including “supine hypertension” and “cardiovascular outcomes” were used for Search. Studies reporting hazard ratios for CVD events, stroke, heart failure, cardiovascular, and all-cause mortality were included. Random-effect models were used for pooled analysis, with heterogeneity assessed using the I2 statistic and p value <0.05 considered significant. Results: A total of 13 studies were included in the analysis, comprising a combined study population of 241,765 individuals with a mean age of 59 years and follow up for 12.4 years. Cardiovascular Events: Six studies showed a significant association between supine hypertension and increased CVD events (HR = 1.41, 95% CI: 1.28–1.55, p<0.05). Cardiovascular Mortality: Five studies indicated elevated supine systolic BP was linked to higher cardiovascular mortality (HR = 1.57, 95% CI: 1.40–1.75, p<0.05). Heart Failure: Three studies demonstrated a strong, consistent association between supine hypertension and heart failure (HR = 1.83, 95% CI: 1.72–1.95, p<0.05). Mortality: Eight studies showed a modest but significant increase in all-cause mortality (HR = 1.23, 95% CI: 1.02–1.45, p<0.05). Stroke: Three studies revealed significantly increased stroke risk in individuals with supine hypertension versus standing hypotension (HR = 1.69, 95% CI: 1.41–1.97, p<0.05). Conclusion: Supine hypertension was significantly associated with increased risks of CVD events, cardiovascular mortality, stroke, heart failure, and all-cause mortality. These findings highlight the need to consider supine blood pressure patterns in clinical evaluations to improve risk detection and guide preventive care strategies.

Healthcare organisations face mounting challenges to maintain financial sustainability given increasing expenses, decreasing reimbursements and changing patient needs. Because of the increasing costs of operating a healthcare institution, it is no longer viable to pursue achieving financial sustainability just by adding more clinical visits and capacity, increasing hospital admission and throughput, performing more surgeries or simply working harder. To address these challenges, healthcare leaders should adopt a culture of continuous process improvement that engages and empowers clinical and operational teams to identify and eliminate waste, optimise revenue and enhance quality and safety. This paper presents a case study of Project ROSE (Revenue Optimization and Supply Enhancement), a project initiated by a community-based integrated health system in the upper Midwest. The goal was to achieve substantial financial savings within one year through revenue optimisation, supply chain improvements and service and maintenance contract enhancements. We describe the vision, goals, methods, results and lessons learned. We also discuss the implications and recommendations for other healthcare institutions that seek to implement similar initiatives that may reduce the burden on their clinical teams and allow them to work smarter, not harder. This article is also included in The Business & Management Collection which can be accessed at https://hstalks.com/ business/.