The application of artificial intelligence (AI) in diagnostic imaging has gained significant interest in recent years, particularly in lung cancer detection. This systematic review aims to assess the accuracy of machine learning (ML) AI algorithms in lung cancer detection, identify the ML architectures currently in use, and evaluate the clinical relevance of these diagnostic imaging methods. A systematic search of PubMed, Web of Science, Cochrane, and Scopus databases was conducted in February 2023, encompassing the literature published up until December 2022. The review included nine studies, comprising five case–control studies, three retrospective cohort studies, and one prospective cohort study. Various ML architectures were analyzed, including artificial neural network (ANN), entropy degradation method (EDM), probabilistic neural network (PNN), support vector machine (SVM), partially observable Markov decision process (POMDP), and random forest neural network (RFNN). The ML architectures demonstrated promising results in detecting and classifying lung cancer across different lesion types. The sensitivity of the ML algorithms ranged from 0.81 to 0.99, while the specificity varied from 0.46 to 1.00. The accuracy of the ML algorithms ranged from 77.8% to 100%. The AI architectures were successful in differentiating between malignant and benign lesions and detecting small-cell lung cancer (SCLC) and non-small-cell lung cancer (NSCLC). This systematic review highlights the potential of ML AI architectures in the detection and classification of lung cancer, with varying levels of diagnostic accuracy. Further studies are needed to optimize and validate these AI algorithms, as well as to determine their clinical relevance and applicability in routine practice.

Background and Objectives: Halitosis is a condition characterized by unpleasant breath smell that is starting to receive serious scientific attention, considering it reflects on people’s social and personal life. While most studies focus on the prevalence of halitosis, its medical etiology, and the psychological impact on adults, there is a lack of evidence regarding the social impact of halitosis on the younger population. Therefore, this systematic review aimed to observe the social and emotional impact that halitosis has on adolescents and young adults. Materials and Methods: The review followed the PRISMA protocol, and four electronic databases (Scopus, Scholar, Web of Science, and ProQuest) were searched. From a total of 593 studies retrieved, only 6 were included in the study after assessing the eligibility criteria. Results: The main results showed that the levels of self-reported halitosis ranged from 23.1% to 77.5%, with an average of 44.7%, indicating a significant heterogeneity among the studies reporting this issue. Adolescents and young adults who experienced bad breath were feeling more anxious and depressed according to the non-standardized questionnaires and the standardized questionnaires (OHIP-14 and SCL-9-R). The respondents were isolated from social interactions and consequently had lower self-esteem and impaired quality of life. Conclusions: The conclusions drawn indicate the need for action on a medical level, as well as on a psychological level, in order to improve people’s oral health and help them navigate through the difficulties of maintaining social interactions as they live with halitosis.

Background and Objectives: Secondary pulmonary fungal infections in coronavirus disease 2019 (COVID-19) remain underexplored despite emerging reports linking them to heightened morbidity. Comorbidities, steroid use, and prolonged hospital stays can predispose patients to opportunistic fungi. This study aimed to evaluate the impact of fungal coinfection on inflammatory markers, disease severity, antifungal resistance profiles, and outcomes in hospitalized COVID-19 patients. Methods: This retrospective observational study enrolled 280 adults (≥18 years) with real-time polymerase chain reaction (RT-PCR)-confirmed COVID-19 admitted to a tertiary care center (January 2023–December 2024). Patients were divided into a COVID-19-only group (n = 216) and a COVID–fungal group (n = 64) based on bronchoalveolar lavage, sputum, and/or blood culture positivity for fungal pathogens. Inflammatory markers (C-reactive protein (CRP), procalcitonin, the neutrophil-to-lymphocyte ratio, and the systemic immune inflammation index) and severity scores (Acute Physiology and Chronic Health Evaluation II, CURB-65 score, and the National Early Warning Score) were measured. We assessed antifungal susceptibilities and recorded ICU admissions, ventilation, hospital length of stay, and mortality. Results: Aspergillus fumigatus (31.3%), Candida albicans (28.1%), Cryptococcus neoformans (7.8%), Pneumocystis jirovecii (6.3%), and Mucorales (6.3%) dominated; Candida glabrata, Candida tropicalis, and mixed infections were also noted. Multidrug-resistant (MDR) isolates or resistance to triazoles occurred in 25.0% of cultures. The COVID-19–fungal group showed significantly higher CRP (85.7 vs. 71.6 mg/L, p < 0.001), procalcitonin (2.4 vs. 1.3 ng/mL, p < 0.001), and APACHE II scores (18.6 vs. 14.8, p < 0.001). intensive-care unit admissions (39.1% vs. 19.9%, p = 0.004) and mechanical ventilation (26.6% vs. 10.2%, p = 0.01) were more frequent with fungal coinfection. Mortality trended at a higher rate (15.6% vs. 7.4%, p = 0.06). Conclusions: Pulmonary fungal coinfections intensify the inflammatory milieu, elevate severity scores, and lead to more frequent ICU-level interventions in COVID-19 patients. Early identification, guided by culture-based and molecular diagnostics, alongside prompt antifungal therapy, could mitigate adverse outcomes. These findings underscore the critical need for proactive fungal surveillance and rigorous stewardship in managing severe COVID-19 pneumonia.

This longitudinal study investigates the psychosocial effects of long-COVID Syndrome, a domain still not extensively researched. It specifically evaluates the quality of life, coping mechanisms, anxiety and depression levels in COVID-19 survivors, differentiating between those with and without long-COVID Syndrome. Conducted at the Victor Babes Hospital for Infectious Diseases and Pulmonology in Timisoara, Romania, the study utilized a cohort of patients diagnosed with mild to moderate COVID-19. The following standardized tools: WHOQOL-BREF for quality of life, COPE-60 for coping strategies, and the Hospital Anxiety and Depression Scale (HADS), were employed for the assessment. The sample consisted of 86 patients displaying persistent post-acute symptoms and 432 asymptomatic patients at the 6-month post-discharge mark. Patients with frequent post-acute symptoms reported significantly higher levels of fatigue (8.2 ± 1.4), cognitive difficulties (7.5 ± 1.6), and respiratory challenges (7.8 ± 1.3), along with a markedly lower overall quality of life (7.0 ± 1.5) compared to their asymptomatic counterparts. HADS scores revealed elevated depression (6.8 ± 1.9) and anxiety (7.1 ± 2.3) in the symptomatic group. Quality of life, as evaluated through the use of WHOQOL-BREF, showed lower scores in the symptomatic cohort across physical (58.8 ± 15.8), mental (56.3 ± 16.4), and social domains (50.2 ± 17.5). COPE-60 findings indicated a higher prevalence of disengagement (56.4%) and emotion-focused coping strategies (61.8%) in the symptomatic group, in contrast to 30.1% and 37.0%, respectively, in the asymptomatic group. The study highlights that long-COVID Syndrome significantly deteriorates the quality of life and is associated with increased depression and anxiety levels. The prevalent use of disengagement and emotion-focused coping strategies among patients with persistent symptoms suggests a need for enhanced psychosocial support tailored to this subgroup.

Bacterial infection can occur in patients hospitalized with SARS-CoV-2 in various conditions, resulting in poorer outcomes, such as a higher death rate. This current systematic review was conducted in order to assess the efficiency of multiplex PCR in detecting bacterial infections in hospitalized COVID-19 patients, as well as to analyze the most common bacterial pathogens and other factors that interfere with this diagnosis. The research was conducted using four electronic databases (PubMed, Taylor&Francis, Web of Science, and Wiley Online Library). Out of 290 studies, nine were included in the systematic review. The results supported the use of multiplex PCR in detecting bacteria, considering its high sensitivity and specificity rates. The most common bacterial pathogens found were Klebsiella pneumoniae, Staphylococcus aureus, Pseudomonas aeruginosa, Streptococcus pneumoniae, and Haemophilus influenzae. The median age at admission was 61.5 years, and the majority of patients were men (70.3%), out of a total of 1553 patients. The proportion of ICU admission was very high, with a pooled proportion of 52.6% over the analyzed studies, and an average duration of hospitalization of 13 days. The mortality rate was proportionally high, as was the rate of ICU admission, with a pooled mortality of 24.9%. It was discovered that 65.2% of all patients used antibiotics before admission, with or without medical prescription. Antibiotic treatment should be considered consciously, considering the high risks of developing antibiotic resistance.

Infective endocarditis (IE) is a bacterial infection with high morbidity and mortality rates, particularly among the elderly. This systematic review was conducted to determine the clinical characteristics of IE in older adults and the risk factors that could lead to adverse outcomes. The research employed three databases (PubMed, Wiley, and Web of Science), with a primary search for studies that have described cases of IE in patients older than 65 years. From a total of 555 articles, 10 were selected for inclusion in the current study, comprising a total of 2222 patients with a confirmed diagnosis of IE. The primary findings were an increased incidence of staphylococcal and streptococcal infections (33.4% and32.0%, respectively), an increased prevalence of comorbidities, namely, cardiovascular disease, diabetes, and cancer, and a significantly greater mortality risk than the younger group. Regarding mortality risks, the pooled odds ratio for cardiac disorders was OR = 3.81, septic shock OR = 8.22, renal complications OR = 3.75, and advancing age OR = 3.54 were most frequently mentioned. Taking into consideration the fact that the majority of the elderly population suffers from significant complications and is unable to undergo surgery due to an increased risk of complications after the procedure, it is imperative that effective treatment methods should be investigated.