Machine and deep learning algorithms for classifying different types of dementia: A literature review.

The cognitive impairment known as dementia affects millions of individuals throughout the globe. The use of machine learning (ML) and deep learning (DL) algorithms has shown great promise as a means of early identification and treatment of dementia. Dementias such as Alzheimer's Dementia, frontotemporal dementia, Lewy body dementia, and vascular dementia are all discussed in this article, along with a literature review on using ML algorithms in their diagnosis. Different ML algorithms, such as support vector machines, artificial neural networks, decision trees, and random forests, are compared and contrasted, along with their benefits and drawbacks. As discussed in this article, accurate ML models may be achieved by carefully considering feature selection and data preparation. We also discuss how ML algorithms can predict disease progression and patient responses to therapy. However, overreliance on ML and DL technologies should be avoided without further proof. It's important to note that these technologies are meant to assist in diagnosis but should not be used as the sole criteria for a final diagnosis. The research implies that ML algorithms may help increase the precision with which dementia is diagnosed, especially in its early stages. The efficacy of ML and DL algorithms in clinical contexts must be verified, and ethical issues around the use of personal data must be addressed, but this requires more study.

Deep Learning-Based Techniques in Glioma Brain Tumor Segmentation Using Multi-Parametric MRI: A Review on Clinical Applications and Future Outlooks.

This comprehensive review explores the role of deep learning (DL) in glioma segmentation using multiparametric magnetic resonance imaging (MRI) data. The study surveys advanced techniques such as multiparametric MRI for capturing the complex nature of gliomas. It delves into the integration of DL with MRI, focusing on convolutional neural networks (CNNs) and their remarkable capabilities in tumor segmentation. Clinical applications of DL-based segmentation are highlighted, including treatment planning, monitoring treatment response, and distinguishing between tumor progression and pseudo-progression. Furthermore, the review examines the evolution of DL-based segmentation studies, from early CNN models to recent advancements such as attention mechanisms and transformer models. Challenges in data quality, gradient vanishing, and model interpretability are discussed. The review concludes with insights into future research directions, emphasizing the importance of addressing tumor heterogeneity, integrating genomic data, and ensuring responsible deployment of DL-driven healthcare technologies. EVIDENCE LEVEL: N/A TECHNICAL EFFICACY: Stage 2.

Navigating challenges in spine surgery in Nigeria: the current state and strategies for advancing spine care.

The provision of specialized spine care in Nigeria presents a pressing challenge amid limited resources and geographical disparities. This correspondence offers a comprehensive roadmap for improving spine surgery and care within the country. We examine the current state of spinal health infrastructure, highlighting barriers such as limited access to specialists and facilities, particularly in rural areas, and financial constraints for patients. Innovations in spinal treatment, including the adoption of minimally invasive techniques and advancements in surgical modalities, are discussed alongside persistent challenges such as disparities in access and equipment costs. Training and education of spine surgeons emerge as critical areas requiring attention, with a shortage of qualified professionals exacerbated by inadequate training programs and resource constraints. We advocate for fostering local and international collaborations to address these gaps, emphasizing the role of partnerships in capacity building and knowledge exchange. Additionally, we explore the potential of public-private partnerships and investments to enhance the Nigerian spine healthcare system, calling for strategic initiatives to modernize infrastructure and improve accessibility. Finally, we propose a strategic blueprint encompassing infrastructure enhancement, training programs, research initiatives, policy advocacy, and public awareness campaigns. Through concerted efforts from local stakeholders and international partners, we envision a future where spine care in Nigeria is comprehensive, accessible, and of high quality, leading to improved health outcomes and a higher quality of life for those affected by spinal conditions.

Association of serum omentin levels with microvascular complications of type 2 diabetes mellitus: a systematic review and meta-analysis.

Background and aims: Type 2 diabetes mellitus (T2DM) is a chronic condition associated with various microvascular complications, including neuropathy, retinopathy, and nephropathy. Recent studies have suggested a potential association between serum omentin levels and the risk of developing microvascular complications in patients with T2DM. However, the existing evidence remains inconclusive. Therefore, we conducted a systematic review and meta-analysis to examine the association between serum omentin levels and microvascular complications in T2DM patients. Methods: A comprehensive search was conducted in PubMed, Scopus, and Google Scholar databases to retrieve relevant articles published up to May 2023. Observational studies investigating omentin levels association with microvascular complications in T2DM patients were included. Data was extracted and hence analyzed. Results: A total of seven cross-sectional articles met the inclusion criteria, with a total population of 1587 participants. The meta-analysis revealed a significant association between serum omentin levels and microvascular complications in patients with T2DM. Serum omentin levels were lower in patients with microvascular complications than in those without complications (Mean difference, 95% confidence interval: -1.31 [-2.50, -0.13], I2 = 99.62%). Conclusion: This systematic review and meta-analysis provides evidence supporting an association between serum omentin levels and microvascular complications in patients with T2DM. The findings suggest that Omentin may be lower in T2DM patients with microvascular complications. Further research is warranted to elucidate the underlying mechanisms and explore the clinical implications of these findings. Supplementary Information: The online version contains supplementary material available at 10.1007/s40200-023-01359-2.

A Novel Skin Incision for Posterior Fossa Midline and Paramedian Lesions: A Technical Note and Case Series.

Approaching posterior fossa pathologies is fairly challenging. Poor exposure, cerebrospinal fluid (CSF) leak following surgery, post-operative suboccipital and neck pain, as well as wound healing are all common complications following traditional suboccipital midline incision. Herein, we present a novel incision for approaching posterior fossa pathologies. The incision is shaped like a question mark and makes a musculofascial flap supplied by the occipital artery on top as well as a wide area for craniotomy. In our technique, the dura is also incised in a question mark-shaped manner. The new incision was used to operate on three patients who had masses in the posterior fossa. Following surgeries, none of the patients experienced any adverse events such as CSF leak, wound complications, severe suboccipital pain, and neck instability. This new incision not only facilitates approaching pathologies in the posterior fossa by providing wider exposure but also enables us to perform watertight dural closure, which reduces CSF leak. Furthermore, as the muscular incision provides a sufficient area for craniotomy, muscular retraction can be minimized to reduce post-operative pain. Moreover, unlike the midline avascular incision, the flap is well supplied by the occipital artery, which facilitates the healing procedure.

Enhancing stroke care in Ghana: A systematic review of stroke rehabilitation services.

OBJECTIVE: In Ghana, the shifting demographics of stroke incidence towards young adults have prompted the expansion of stroke care and rehabilitation efforts. Nevertheless, the precise impact of stroke rehabilitation remains unclear. We conducted a systematic review to explore the landscape and effects of stroke rehabilitation in Ghana. METHOD: We identified articles on stroke rehabilitation services in Ghana through searches of PubMed, Scopus, Embase, and Web of Science from inception until February 2024. The Critical Appraisal Skills Programme (CASP) Qualitative Checklist was employed to assess the risk of bias in the included studies, supplemented by qualitative synthesis. RESULTS: Among the 213 articles screened, 8 were deemed suitable for review. These studies primarily focused on two groups: stroke survivors (n = 335) and healthcare professionals (HCPs) (n = 257). Many stroke survivors reported significant benefits from telerehabilitation, with increased participation in rehabilitation activities correlating with improved physical and cognitive outcomes. The findings also underscored a lack of knowledge about stroke rehabilitation among HCPs, alongside variations in the availability of protocols and guidelines for stroke management across different hospital levels. CONCLUSIONS: The review reveals several challenges in stroke rehabilitation in Ghana, including disparities in HCPs' perceptions and utilization of rehabilitation services. The findings emphasize the need for comprehensive, patient-centered approaches, standardized training for HCPs, improved resource allocation, and the integration of telehealth to overcome barriers and enhance stroke rehabilitation in Ghana. These insights hold significance not only for Ghana but also for guiding strategies in similar contexts worldwide, aiming to improve stroke rehabilitation outcomes.

Association between dietary total antioxidant capacity and the risk of stroke: a nested case-control study.

BACKGROUND: Oxidative stress after ischemic stroke contribute to neuronal cell injury. Unhealthy and unbalanced dietary patterns can increase the risk of several diseases, including stroke and cardiometabolic ones. However, the association between dietary total antioxidant capacity (DTAC) of antioxidant and stroke is controversial. Our study aimed to establish a correlation between DTAC and its impact on the occurrence of stroke. METHODS: This nested case-control study included 79 stroke cases and 158 healthy controls. We used data from the Fasa Adults Cohort Study (FACS) comprising 10,035 individuals at baseline. To assess the nutritional status of each individual, a 125-item food frequency questionnaire (FFQ) has been used to evaluate their dietary habits and intakes over the past year. DTAC was calculated using the ferric-reducing antioxidant power (FRAP) international databases. The stroke was confirmed by an experienced neurologist using standard imaging methods. Conditional logistic regression analyses were performed to evaluate the association between DTAC and stroke. RESULTS: The assessment of DTAC revealed that there was no statistically significant distinction between cases (mean ± SD: 5.31 ± 2.65) and controls (5.16 ± 2.80) with a p-value of 0.95. Even after adjusting for the potentially important confounding factors such as age, sex, event time, energy intake, smoking, hypertension, and diabetes, the association remains non-significant (adjusted odds ratio (OR) = 1.06, 95% CI: 0.94, 1.20, p-value = 0.33). CONCLUSIONS: Our results did not confirm a significant link between DTAC and stroke risk. These findings emphasize the intricate interplay of factors influencing stroke risk and highlight the need for further research to unravel these relationships more comprehensively.

Elevated skull fractures: an institutional experience and individual participant data meta-analysis.

Elevated skull fracture (ESF) is a rare but potentially life-threatening type of skull fracture. The literature on this topic is relatively sparse. Herein, we conducted a meta-analysis of all the patients reported in the literature with ESFs with respect to their clinical management to better inform practice. On 20th of January 2023, we conducted a systematic search of literature to find all published cases of ESF. We also conducted a retrospective review of ESF cases from our institution. The data collection and analysis were conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. After screening, 28 studies met the inclusion criteria. A total of 104 individual patients were included in the meta-analysis, with a median age of 24 years and 85.7% of whom were males. 11 patients (11.2%) had an unfavorable outcome while 37 (35.2%) had one or more complications. We found that GCS on admission is an independent predictor of poor outcome in ESF (odds ratio (95% confidence interval) = 1.605 (1.110-2.315), p value = 0.012). Regarding complications, dural injury (odds ratio (95% confidence interval) = 66.667 (7.407-500.00), p value < 0.001) and multiple bone involvement (odds ratio (95% confidence interval) = 6.849 (2.127-22.222), p value = 0.001) were independent predictors of complication. ESFs represent a rare yet consequential form of cranial injury, carrying potentially life-threatening implications if not promptly addressed. In this study, we present the meta-analysis of outcomes and complications within this patient cohort, offering a comprehensive synthesis of existing literature on this pathology. However, further investigation is imperative to provide higher-quality evidence and address lingering uncertainties in the classification and management of ESFs.

Precision and Speed at Your Fingertips: An Automated Intracranial Hematoma Volume Calculation.

BACKGROUND: Intracranial hemorrhage (ICH) is a severe condition that requires rapid diagnosis and treatment. Automated methods for calculating ICH volumes can reduce human error and improve clinical decisioPlease provide professional degrees (e.g., PhD, MD) for the corresponding author.n-making. A novel automated method has been developed that is comparable to the ABC/2 method in terms of speed and accuracy while providing more accurate volumetric data. METHODS: We developed a novel automated algorithm for calculating intracranial blood volume from computed tomography (CT) scans. The algorithm consists of a Python script that processes Digital Imaging and Communications in Medicine images and determines the blood volume and ratio. The algorithm was validated against manual calculations performed by neurosurgeons. RESULTS: Our novel automated algorithm for calculating intracranial blood volume from CT scans demonstrated excellent agreement with the ABC/2 method, with a median overall difference of just 1.46 mL. The algorithm was also validated in patient groups with ICH, epidural hematoma (EDH), and SDH, with agreement coefficients of 0.992, 0.983, and 0.997, respectively. CONCLUSIONS: The study introduces a novel automated algorithm for calculating the volumes of various ICHs (EDH, and SDH) within CT scans. The algorithm showed excellent agreement with manual calculations and outperformed the commonly used ABC/2 method, which tends to overestimate ICH volume. The automated algorithm offers a more accurate, efficient, and time-saving approach to quantifying ICH, EDH, and SDH volumes, making it a valuable tool for clinical evaluation and decision-making.

The effects of combined and independent low-level laser and mesenchymal stem cell therapy on induced knee osteoarthritis: An animal study.

BACKGROUND: Mesenchymal stem cell (MSC) injection has emerged as a novel treatment for knee osteoarthritis (OA). In addition, low-level laser therapy (LLLT) has been reported to delay the progression of OA. Thus, the current study on animal models of OA investigated the effectiveness of these methods when administered independently and combined. METHODS: Twenty-five guinea pig models of OA were randomly sorted into five study groups. The test groups received intra-articular MSC, LLLT, and a combination of these therapeutics for 8 weeks. Radiological and histopathologic evaluations were carried out for the test groups and the control after the completion of treatments. RESULTS: The MSC-treated groups showed better outcomes in terms of all radiological and histological indexes compared with the control, apart from subchondral bone (P < 0.05). Similarly, but to a different extent, the LLLT-treated group showed better results than the controls (P < 0.05). The combination of MSC therapy and LLLT improved the cartilage, surface, matrix, space width, osteophytes, and radiologic OA scores more effectively than each of these methods alone (P < 0.05). CONCLUSIONS: According to our results, the combination of intra-articular MSC and LLLT can effectively improve OA in animal models. Further preclinical and clinical studies are recommended to assess the effectiveness of these therapeutics alone and in combination.

Immune checkpoint inhibitors therapy as the game-changing approach for pediatric lymphoma: A brief landscape.

Lymphoma is known as the third most common malignancy in children, and its prevalence and mortality are increasing. Common treatments, including chemotherapy, radiotherapy, and also surgery, despite their efficacy, have many side effects and, have a high chance of disease relapse. Immune Checkpoint Inhibitors (ICIs) offer a promising alternative with potentially fewer risks of relapse and toxicity. This review article aims to investigate the efficacy and safety of ICIs, either as monotherapy or in combination, for pediatric lymphoma patients. ICIs have revolutionized cancer treatment in recent years and have shown remarkable results in several adult cancers. However, their efficacy in treating pediatrics requires further investigation. Nevertheless, some ICIs, including nivolumab, pembrolizumab, and ipilimumab, have demonstrated encouraging outcomes. ICIs therapy is not without risks and can cause side effects, including rash, itching, vitiligo, abdominal pain, diarrhea, dysphagia, epigastric pain, nausea, vomiting, thyroid, and pituitary dysfunction. Overall, this review article highlights the potential benefits and risks of ICIs in treating pediatric lymphoma.

Machine learning-based models to predict the need for neurosurgical intervention after moderate traumatic brain injury.

Background and Aims: Traumatic brain injury (TBI) is a widespread global health issue with significant economic consequences. However, no existing model exists to predict the need for neurosurgical intervention in moderate TBI patients with positive initial computed tomography scans. This study determines the efficacy of machine learning (ML)-based models in predicting the need for neurosurgical intervention. Methods: This is a retrospective study of patients admitted to the neuro-intensive care unit of Emtiaz Hospital, Shiraz, Iran, between January 2018 and December 2020. The most clinically important variables from patients that met our inclusion and exclusion criteria were collected and used as predictors. We developed models using multilayer perceptron, random forest, support vector machines (SVM), and logistic regression. To evaluate the models, their F1-score, sensitivity, specificity, and accuracy were assessed using a fourfold cross-validation method. Results: Based on predictive models, SVM showed the highest performance in predicting the need for neurosurgical intervention, with an F1-score of 0.83, an area under curve of 0.93, sensitivity of 0.82, specificity of 0.84, a positive predictive value of 0.83, and a negative predictive value of 0.83. Conclusion: The use of ML-based models as decision-making tools can be effective in predicting with high accuracy whether neurosurgery will be necessary after moderate TBIs. These models may ultimately be used as decision-support tools to evaluate early intervention in TBI patients.

Volatile organic compounds analysis as promising biomarkers for Parkinson's disease diagnosis: A systematic review and meta-analysis.

OBJECTIVE: Researchers are investigating the potential of volatile organic compounds (VOCs) obtained from exhaled breath and sebum as non-invasive tools for early Parkinson's disease (PD) diagnosis. The present study aims to assess the feasibility of using VOC analysis for PD diagnosis and determine the overall diagnostic accuracy of the proposed tests. METHODS: We performed systematic searches based on the PRISMA guidelines to identify relevant studies on VOCs in PD diagnosis using exhaled breath or sebum samples. The selected articles were described, and meta-analysis was conducted on those that provided the sensitivity and specificity data. RESULTS: Out of 1268 articles initially identified, 8 met the inclusion criteria and provided specific sensitivity and specificity data for PD, which were included in the current meta-analysis. The pooled analysis of these findings showed a mean area under the receiver operating characteristic curve of 0.85, a sensitivity of 0.81 (95% confidence interval (CI): 0.72, 0.88), and a specificity of 0.76 (95% CI: 0.66, 0.84). CONCLUSION: The analysis of VOCs in exhaled breath and sebum has shown promise as a new avenue for non-invasive diagnosis of PD. VOCs' ability to distinguish PD from healthy controls suggests their potential clinical application in screening for the disease. Consequently, VOCs hold significant potential as biomarkers for PD diagnosis and offer a promising novel approach to identifying and diagnosing the condition.

Bochdalek hernia presenting as recurrent fever and bicytopenia in a pediatric patient: A rare case report.

Bochdalek hernia is a rare condition characterized by the displacement of abdominal contents into the thoracic cavity. Due to the nonspecific nature of symptoms, prompt diagnosis, and management by emergency care providers can be challenging. Treatment of a Bochdalek hernia typically involves the reduction in the herniated contents back into the abdominal cavity. In this case report, we present the case of a 1-year-old girl who presented to the emergency department with a fever and bicytopenia. Further evaluation revealed a Bochdalek hernia, which was successfully managed with surgical intervention. This case highlights the importance of considering a Bochdalek hernia in the differential diagnosis of patients presenting with recurrent nonspecific symptoms (fever and bicytopenia).

Prediction of Mortality and Morbidity After Severe Traumatic Brain Injury: A Comparison Between Rotterdam and Richmond Computed Tomography Scan Scoring System.

OBJECTIVE: Accurate prediction of the morbidity and mortality outcomes of traumatic brain injury patients is still challenging. In the present study, we aimed to compare the predictive value of the Richmond and Rotterdam scoring systems as two novel computed tomography-based predictive models. METHODS: We retrospectively analyzed 1400 subjects who suffered from severe traumatic brain injury and were admitted to Emtiaz Hospital, a tertiary referral trauma center in Shiraz, south of Iran, from January 2018 to December 2019. We evaluated the 1-month results; considering two primary factors: mortality and morbidity. The patients' condition was the basis for this assessment. We conducted a logistic regression analysis to determine the association between scoring systems and outcomes. To determine the optimal threshold value, we utilized the receiver operating characteristic curve model. RESULTS: The mean age of participants was 36.61 ± 17.58 years, respectively. Concerning predicting the mortality rate, the area under the curve (AUC) for the Rotterdam score was relatively low 0.64 (95% confidence interval: 0.60, 0.67), while the Richmond score had a higher AUC 0.74 (0.71-0.77), which demonstrated the superiority of this scoring system. Moreover, the Richmond score was more accurate for predicting 1-month morbidity with AUC: 0.71 (0.69, 0.74) versus 0.62 (0.59, 0.65). CONCLUSIONS: The Richmond scoring system demonstrated more accurate predictions for the present outcomes. The simplicity and predictive value of the Richmond score make this system an ideal option for use in emergency settings and centers with high patient loads.

Prevalence of Fungal Drug Resistance in COVID-19 Infection: a Global Meta-analysis.

Purpose: Secondary bacterial or fungal infections are one of the most important medical complications among patients with Coronavirus Disease 2019 (COVID-19). The emergence of multidrug-resistant (MDR) candida can cause many problems such as treatment failure, adverse clinical outcomes, and even disease outbreaks. This systematic review and meta-analysis aims to investigate the prevalence and outcomes of fungal drug-resistant in COVID-19 patients. Methods: PubMed, Embase, Scopus, Cochrane Library, and Web of Science databases were searched for peer reviewed-articles published in English up to May 20, 2021. Heterogeneity across studies was evaluated using Cochrane's Q test and the I2 index. The pooled point prevalence and their corresponding 95% confidence intervals (CIs) were considered to estimate the prevalence of fungal drug resistance infection in COVID-19 patients. Results: Eight eligible articles were included in our meta-analysis. The number of COVID-19 patients with fungal co-infection varied from 5 to 35 among selected studies. The overall pooled prevalence of fungal drug resistance among patients with co-infections of fungal and COVID-19 was 69% (95% CI: 37%, 94%) by using a random-effects model. In terms of specific species, the pooled meta-analysis for Candida Auris was estimated to be 100% (95%CI: 98%, 100%; I2 = 0%), for Multi-Candida 59% (95%CI: 38%, 79%; I2 = 12.5%), and for Aspergillus 15% (95%CI: 0%, 42%; I2 = 0%). Conclusion: Our study shows the high prevalence of fungal drug resistance in COVID-19 patients and emphasizes the need to strengthen antimicrobial stewardship programs, close monitoring for treatment failure, and the emergence of resistance upon treatment. Supplementary Information: The online version contains supplementary material available at 10.1007/s12281-022-00439-9.

Is facial nerve palsy an early manifestation of COVID-19? A literature review.

The primary target of SARS-CoV-2 is the respiratory tract; nevertheless, the virus can invade extrapulmonary organs, such as the nervous system. Peripheral facial nerve palsy has been reported in COVID-19 cases as isolated, unilateral, or bilateral in the context of Guillain-Barré syndrome (GBS). In the present study, online databases, including PubMed and Google Scholar, were searched. Studies without focusing on isolated peripheral facial nerve palsy and SARS-CoV-2 were excluded. Finally, 36 patients with facial nerve palsy were included in our study using reverse transcriptase-polymerase chain reaction (RT-PCR) or antibody SARS-CoV-2 positive test. Interestingly, 23 (63.8%) of these patients had no typical history of COVID-19, and facial nerve palsy was their first clinical manifestation. The present study concludes that there is enough evidence to suggest that SARS-CoV-2 infection may present with facial nerve palsy as the initial clinical manifestation.