Background: Children asthma control complex due to the chronic nature of asthma and its interference with children’s quality of life, patient counseling about asthma nature and inhaler use are considered the cornerstone in asthma control. We evaluated various patient counseling techniques for optimizing the use of pressurized metered dose inhalers (pMDIs) to enhance asthma medication delivery and asthmatic state.

Methods: A random cohort of nonsmoking children with asthma aged 11-19 years was collected from an outpatient clinic; all diagnosed using Global Initiative for Asthma (GINA) diagnosis guidelines. The patient's asthma status and pMDI use were assessed during the initial structured interview, and three groups were randomly divided for different counseling techniques, as the following, traditional verbal counseling only was applied to Group 1, while Group 2 received advanced counseling just via two smartphone applications without verbal corrections for inhaler use errors and Group 3 received the advanced counseling using two smartphone applications alongside with verbal correction of the inhaler use mistakes. We monitored the three groups for two consecutive months using the forced expiratory volume in the one second to the forced vital capacity of the lungs ratio (FEV1/FVC) ratio, Asthma Control Test (ACT), Asthma Control Questionnaire (ACQ), and GINA control assessment Questionnaire.

Results: A total of 102 children with asthma n=102 were divided in to three counseling groups, each group is consisted of 34 patients, n=34. We found that, in term of FEV1/FVC 2^nd month interview, the advanced verbal counseling group was superior to the advanced alone counseling group p=0.016. In term of ACT 2^nd month interview, the advanced verbal counseling group was superior to the verbal only counseling group p=0.023. In term of ACQ 8^th week interview the advanced alone counseling group was superior to the verbal alone counseling group p=0.018. From the 2-month follow-up course using FEV1/FVC ratio, ACT, ACQ, and GINA control assessment questionnaires, the three counseling techniques significantly improved asthma control for all groups p<0.001.

Conclusion: The combination of smartphone applications based advanced counseling alongside with the verbal correction of the inhaler use errors resulted in a better children asthma control than using a single counseling approach.

Background:

A meta-analysis study was completed to measure how to forecast the effect of the decompression only compared to decompression with fusion on lumbar degenerative spondylolisthesis.

Methods:

Until October 2024, an inclusive literature study was accomplished, and 1865 related studies were reviewed. The 31 nominated studies encompassed 31678 participants with lumbar degenerative spondylolisthesis at the beginning of the study. The odds ratio (OR) and mean difference (MD) and 95% confidence intervals (CIs) were used to look at the outcome of the decompression only compared to decompression with fusion on lumbar degenerative spondylolisthesis dichotomous, or continuous methods with either a fixed or random model.

Results:

In individuals with lumbar degenerative spondylolisthesis, decompression had significantly lower visual analog scale back score (MD, -0.57; 95% CI,-0.91- -0.23, p=0.001), visual analog scale leg score (MD, -0.26; 95% CI, -.49- -0.03, p=0.03), Oswestry Disability Index score (MD, -2.42; 95% CI, -4.75- -0.08, p=0.04), operation time (MD, -82.60; 95% CI, -130.06- -35.14, p<0.001) intraoperative blood loss (MD, -261.93; 95% CI, -360.49- -163.36, p<0.001), and length of hospital stay (MD, -20.09; 95% CI, -29.55- -10.64, p<0.001) compared to decompression with fusion treatment. However, no significant difference was found between decompression and decompression with fusion treatment in European Quality of Life-5 Dimensions score (MD, -0.01; 95% CI, -0.04-0.01, p=0.28) Short-Form 36 physical component summary (MD, -0.73; 95% CI, -2.70-1.24, p=0.47), Short-Form 36 mental component summary score (MD, 0.08; 95% CI, -2.94-3.10, p=0.96), patient satisfaction (OR, 0.52; 95% CI, 0.25-1.09, p=0.08), overall complication rate (OR, 0.92; 95% CI, 0.68-1.26, p=0.61), and overall reoperation rate (OR, 1.34; 95% CI, 0.85-2.13, p=0.21) in individuals with lumbar degenerative spondylolisthesis.

Conclusions:

In individuals with lumbar degenerative spondylolisthesis, decompression had significantly lower visual analog scale back score, visual analog scale leg score, Oswestry Disability Index score, operation time, intraoperative blood loss and length of hospital stay, however, no significant difference was in European Quality of Life-5 Dimensions score Short-Form 36 physical component summary, Short-Form 36 mental component summary score, patient satisfaction overall complication rate and overall reoperation compared to decompression with fusion treatment. To validate this finding more studies are required, and care is essential to be implemented when interconnecting with its values, since many comparisons had law number of selected studies. 

Background

The purpose of the study was to appraise and compare the treatment of non-small cell lung cancer with the nursing application of chemotherapy and traditional Chinese medicine.

Method

Based on the inspection of the meta-analysis data, the odds ratio (OR) and mean difference (MD) with 95% confidence intervals (CIs) were derived by dichotomous random or fixed effect models. 26 papers with a total of 2290 subjects who were available between 2005 and 2021 were included in this meta-analysis.

Results

Traditional Chinese medicine had significantly higher quality of life (OR, 2.79; 95% CI, 1.87-4.16, p<0.001) and clinical efficacy (OR, 2.79; 95% CI, 2.24-3.47, p<0.001), and Karnofsky Performance Status score (OR, 3.03; 95% CI, 1.45-6.34, p=0.003), and lower leukopenia (OR, 0.21; 95% CI, 0.12-0.36, p<0.001), thrombocytopenia (OR, 0.19; 95% CI, 0.13-0.29, p<0.001), myelosuppression (OR, 0.24; 95% CI, 0.10-0.58, p=0.001), hemoglobin decrease (OR, 0.34; 95% CI, 0.12-0.93, p=0.04), nausea and vomiting (OR, 0.16; 95% CI, 0.11-0.22, p<0.001), diarrhea (OR, 0.22; 95% CI, 0.13-0.36, p<0.001), liver damage (OR, 0.17; 95% CI, 0.10-0.28, p<0.001), and kidney damage (OR, 0.30; 95% CI, 0.10-0.90, p=0.03) compared to control in subjects with non-small cell lung cancer.

Conclusions

The data that was looked at showed that using traditional Chinese medicine had significantly higher quality of life and clinical efficacy, and Karnofsky Performance Status score, and lower adverse effects, and hematological toxicity compared to control in subjects with non-small cell lung cancer. However, given that most of the studies comprised a small number as sample size, attention ought to be given to their values.

Abstracts of the First Conference of Pharm D Clinical Pharmacy Students Faculty of Pharmacy Beni-suef University

The basic mechanisms that support the nervous system's operation in both invertebrates and vertebrates are impulse transmission and the body's reaction to stimuli. These mechanisms let organisms' sense changes in their internal and external surroundings, analyze the information, and start the proper behavioral or physiological reactions. For homeostasis, survival, and adaptation, impulse transmission and response to stimuli must be accurate and efficient. When a stimulus is strong enough to surpass the excitation threshold, a brief, transient change in membrane potential known as an action potential is generated, signaling the beginning of neuronal impulse transmission. This electrochemical process is initiated by the passage of ions, namely sodium (Na⁺) and potassium (K⁺) ions, across the neuronal membrane via voltage-gated ion channels. Synaptic transmission is a crucial step in impulse propagation after this. An action potential that reaches the axon terminal releases neurotransmitters into the synaptic cleft. The kind of neurotransmitter and receptor involved determines whether these chemical messengers cause excitatory or inhibitory responses when they attach themselves to certain postsynaptic membrane receptors. Complex neural networks are formed by the communication that is made possible by this synaptic activity between neurons and threshold; the start of neuronal impulse transmission is indicated by the generation of an action potential, a short, fleeting shift in membrane potential. This communication tried to talk in more details about this topic.

Phytochemicals are chemical compounds naturally produced in plants during the food metabolism process. Phytochemicals also protect plants against hazards faced in the environment, such as moisture, drought, and extreme salt conditions. They also work on adapting plants to the surrounding environmental conditions and being responsible for giving plants their color. These compounds are represented in many types, including flavonoids, polyphenols, isoflavonoids, phytoestrogens, terpenoids, limonoids, phytosterols,anthocyanidins,glucosinolates, carotenoids, and fibers. Phytochemical are a good source of nutrition and obtaining daily needs. The inverse relationship between eating fruits and vegetables and the incidence of serious and chronic diseases such as cancer of all types and heart diseases was found.

Background

Spacers are commonly used especially for paediatric and elderly patients. However, there is a considerable discussion about their use and operation. The purpose of this study was to examine the performance of different types of spacers with Qvar breath actuated pressurize metered dose inhaler (pMDI) containing Beclometasone with fine particles.

Methods

The dose evaluation method for pMDIs in the British Pharmacopoeia (BP) was used to find out the total emitted dose (TED) and particle size distribution of Qvar pMDI. The study looked at pMDI alone and with three different spacers (Optimizer, Aerochamber Plus, and Aerochamber MAX) at a flow of 28.3 L/min and 4 L inhalation volume to mimic adults. At different times, from the first to the last actuation, the average amount of drug in each pMDI alone and connected to the three different spacers was evaluated.

Results

The pMDI by itself had the highest TED, which was significantly higher than all pMDI-spacer combinations (p < 0.05). The spacers also had higher fine particle dose, and fine particle fraction (p<5 µg) then pMDI alone. No significant different was observed in mass median aerodynamic diameter between the four tested combinations. No significant difference was observed between the three evaluated spacer.

Conclusions

These results show that there are improving effects on aerodynamic characterisation and the amount of drug available for inhalation when spacers are used as inhalational aids to pMDI. That support the GINA recommendation regarding the use of spacer with all patients using pMDI even the breath actuated pMDIs.

Background

An ocular ailment impacts the entirety of sensory functioning, and an undetected and untreated ocular ailment might result in visual impairment. The objective of this study was to create an automated system for detecting age-related macular degeneration (ARMD) using deep-learning (DL) method that combines optimal deep features selected using the arithmetic optimizer (AO).

Methods

The main stages of the proposed scheme include; image collection from the chosen dataset and resizing, feature extraction using the DL scheme, feature optimization with AO and serial features fusion, and bi-level data classification and five-fold cross validation. The performance of the developed DL system is verified using conventional-, optimal-, and fused-features and the importance of these methods are established based on the chosen performance metrics.

Results

This study is executed using 1200 numbers of optical coherence tomography images of Normal/ARMD class and the scheme helps in achieving accuracy of >90% and >91% with conventional- and optimal features. Further, the fused-features based classification provided an accuracy of >99% with the support vector machin.

Conclusions

The achieved results of this study confirm the importance of the developed procedure on the examination of retinal optical coherence tomography images.

Background: A meta-analysis study was undertaken to examine antibiotic resistance, specifically by assessing the effectiveness of pharmacist interventions in influencing the rate of antibiotic prescriptions compared to their impact on adherence to antibiotic prescribing guidelines.

Objective: Evaluating the effectiveness of pharmacist interventions in influencing the rate of antibiotic prescriptions, in contrast to their impact on adherence to antibiotic prescribing guidelines.

Method: A comprehensive literature review up to the year 2016 was conducted, examining a total of 215 relevant studies. Among these, 15 specific studies were chosen for inclusion, encompassing a population of 298,339 individuals who initially demonstrated antibiotic resistance. Within this group, 134,004 individuals were exposed to interventions involving pharmacist participation, while 164,335 served as controls. The calculation of odds ratios (OR) and 95% confidence intervals (CIs) was employed to assess antibiotic resistance in pharmacists involved in antibiotic prescribing rates as compared to those involved in antibiotic prescribing adherence rates. This analysis utilized dichotomous approaches and employed both fixed and random models.

Result: When pharmacists participated in interventions targeting antibiotic prescribing rates, a considerable reduction in antibiotic resistance was observed (Odds Ratio, 0.86; 95% Confidence Interval, 0.78-0.95, p<0.00001). However, these findings exhibited a significant degree of heterogeneity (I2 = 90%). Conversely, in interventions focusing on improving antibiotic prescribing adherence rates involving pharmacists, a substantial increase in antibiotic resistance was noted (Odds Ratio, 1.96; 95% Confidence Interval, 1.56-2.45, p<0.00001), with similarly high heterogeneity in the results (I2 = 91%). These outcomes were specifically evident in individuals grappling with antibiotic resistance issues.

Conclusion: Pharmacist-led interventions targeting antibiotic prescribing rates led to a noteworthy decrease in antibiotic resistance compared to scenarios without pharmacist involvement in such interventions. Nonetheless, it is crucial to approach the interpretation of these results with caution, given the limited sample size in certain studies incorporated into the meta-analysis.

Background

The study investigates the in-vitro aerodynamic particle size distribution of Symbicort^® Turbuhaler^®, a dry powder inhaler containing budesonide and formoterol, at different inhalation flows.

Methods

The primary objective was to assess the effect of inhalation flow on drug delivery by analyzing the fine particle dose (FPD) and mass median aerodynamic diameter (MMAD) using an Andersen Cascade Impactor at 28.3 L/min and 60 L/min inhalation flows.

Results

The results reveal a statistically significant impact of inhalation flow on drug deposition (p<0.05). A higher inhalation flow (60 L/min) led to an increase in FPD, a decrease in MMAD, and a higher fine particle fraction (FPF), indicating improved lung deposition. Additionally, throat deposition decreased with increasing flows, suggesting better de-aggregation and dispersion of drug particles. Despite these changes, the ratio of budesonide (R and S epimers) to formoterol remained constant, ensuring consistent pharmacological efficacy.

Conclusions

The findings highlight the importance of flow considerations in dry powder inhaler performance and suggest that higher inspiratory flows may enhance drug delivery efficiency. This study supports the need for variable flow testing in pharmacopoeial standards to optimize inhaler design and ensure effective drug administration for patients with asthma and chronic obstructive pulmonary disease.

Background: Afghanistan is among the countries which have the highest maternal mortality in the world. The inadequate utilization of antenatal care (ANC) services increased the risk of maternal mortality in Afghanistan.

The goal of this study is to understand key associated factors with antenatal care and its impact on maternal mortality in Afghanistan. It also elaborates on the impacts and utilization of antenatal care services among women in Afghanistan.

Methods: For this research, data from the Afghanistan Demographic Health Survey 2015 has been used, the study participants were 18139 reproductive-aged women. The relevant variable was chosen, and data was analyzed for general descriptive, Chi-square, and logistic regression tests. Analysis was carried out using JAMOVI 2.2.5.

Results: The overall number of ANC visits among women was 10040 (55.4%) and 8099 women (44.6%) never used ANC visits. The utilization of one ANC visit was 11.2% and two ANC visits were most frequent among women with 17%. Women who undertook three or four and more than four were 11.6%, 7.1%, and 4.3% respectively.

In this study, we examined the socio-economic and demographic backgrounds of 18139 reproductive-aged women attending ANC clinics. The highest age group (30-39 years) represented 32.3% (OR=0.947, 95%CI: 0.885-1014), followed by the age group of over 40 which was 25.1% (OR=0.919, 95%CI: 0854-0.990) compared to age group under 29 among women. According to residency, urban areas represented 77.2% of the total (18139) women, and 22.8% were from rural areas (OR=1.097, 95%CI: 1.023-1.177) compared to urban areas. In terms of education, 86% of women had received no education, 6.5% received primary education (OR=1.159, 95%CI: 1.020-1.316), the number of secondary educations was 5.7% with (OR=0.981, 95%CI: 0.828-1.163) and higher education was 1.8%with (OR=0.917, 95%CI: 0.712-1.181) compared to not education women group in Afghanistan. ANC visits were used more frequently by Pashtuns, 38.8%, followed by Tajiks, 35.1%. (OR=0.192,95% CI:0.852-0.977), Uzbek was 10% (OR=1.224, 95% CI:0.869-1.068) followed by Hazara at 6.6% (OR=0.963, 95% CI:0.869-1.068) the Turkmen at 5.4% (OR=2.571, 95% CI:2.208-2.924), the percentage by Aimaq was 1.2% (OR=1.574, 95% CI:1.196-2.072) and for Baloch 0% (OR=1.917, 95% CI:0.320-11.4812.072) followed by others with 2.6% (OR=0.910, 95% CI:0.753-1.099) compared to Pashtun ethnic group. For media exposure the number of not listening to the radio per week was 58.1% and one time per week was 16% (OR=0.974, 95%CI: 0.897-1.058), for two times per week it was 25.8% (OR=0.854, 95%CI: 0.797-0.915) and more than three plus times per week was 0.1% (OR=0.970, 95%CI: 0.402-2.343) compared with the zero time of listening to radio per week. Also, for not watching TV was 56% and one time per week was 11.3% (OR=0.888, 95%CI: 0.807-0.977) also for two times per week it was 32.6% (OR=0.913, 95%CI: 0.856-0.974) and the number of three plus times of watching TV was 0.2% OR=1.188, 95%CI: 0.617-2.286) compared with zero time of watching the TV.

Conclusion: The most important key associated factors were residency, education level, ethnic groups, and media exposure. We suggest that the Afghanistan government and with international community improve their health policy, increasing accessibility of health care and equal distribution of health services in rural and urban areas in Afghanistan.

Recurrent spontaneous abortion (RSA), a significant reproductive challenge, involves multiple pregnancy losses and impacts fertility. Although various factors contribute to RSA, immune system dysfunction is frequently implicated. Recent technological advancements in bioinformatics, particularly high-throughput sequencing and computational modeling, have enabled a more detailed examination of immune responses associated with RSA. This text explores how bioinformatics tools, including gene expression analysis, machine learning, and network analysis, facilitate the prediction of immune factors relevant to RSA. Additionally, it reviews current progress and potential future applications in personalized treatment strategies.

“Myasthenia gravis” has its origins in Greek. The terms denote muscle weakening (myasthenia) and heaviness (gravis). Myasthenia gravis (myasthenia gravis) is an autoimmune disorder marked by muscle weakness that exacerbates with activity, predominantly impacting the oculobulbar muscles and principally targeting postsynaptic nicotinic acetylcholine receptors. ¹ This condition, characterized by a significantly high mortality rate due to respiratory failure, holds unique significance among neuromuscular disorders and within the broader field of neurology, as patients can enjoy perfectly normal lives with appropriate treatment. The prevalence of the condition in women is bimodal, with the highest incidence occurring between the ages of 20-30 and above 50 years. In contrast to males above the age of 50. The disease's most notable characteristic is muscle weakness, which exacerbates with tiredness and is at least partially alleviated by rest. Patients indicate improvement in the morning, with symptoms exacerbating in the evening or when fatigued ² The manifestation of disease progresses with periods of remission and exacerbation. Remissions can last for durations ranging from a few days to several years.

Background

Asthma is a common chronic illness in children, contributing significantly to healthcare costs and morbidity. Despite the use of systemic corticosteroids (SC) as the standard treatment for acute asthma, their delayed onset and incomplete efficacy in reducing hospitalization have led to interest in inhaled corticosteroids (ICS) as adjunctive therapy.

Methods

This meta-analysis aimed to evaluate the efficacy of combining budesonide (an ICS) with SC in children with acute asthma. A systematic search of databases identified 10 studies involving 1,588 children, of whom 794 received budesonide in addition to SC, while the remaining 794 received SC alone.

Results

The addition of budesonide was associated with a non-significant reduction in hospital admission rates (OR 0.48, 95% CI 0.25–0.91, p=0.02) and length of stay. Studies with higher doses of budesonide (≥2mg) showed a greater but still non-significant improvement in asthma severity scores.

Conclusions

While combining ICS and SC resulted in a potential cost-effective benefit, further trials with higher doses of budesonide are needed. Major limitations include the absence of studies involving MDI-based ICS delivery, limited data on lung function, and the lack of recent trials after 2020.

In recent years, enhanced artificial intelligence algorithms and more access to training data have enabled artificial intelligence to augment or supplant certain functions of physicians. Nonetheless, the interest of diverse stakeholders in the application of artificial intelligence in medicine has not resulted in extensive acceptance. Numerous experts have indicated that a primary cause for the limited adoption is the lack of openness surrounding certain artificial intelligence algorithms, particularly black-box algorithms. Clinical medicine, particularly evidence-based practice, depends on transparency in decision-making. If there is no medically explicable artificial intelligence and the physician cannot adequately elucidate the decision-making process, the patient's trust in them will diminish. To resolve the transparency concern associated with specific artificial intelligence models, explainable artificial intelligence has arisen.

Autism spectrum disorder encompasses a range of neurobehavioral and neurodevelopmental conditions marked by deficits in social interaction and communication, as well as restricted and repetitive behaviors or interests, alongside atypical sensory processing. Environmental, immunological, genetic, and epigenetic factors contribute to the pathophysiology of autism, triggering neuroanatomical and neurochemical changes early in central nervous system development. Numerous neurochemical pathways contribute to the etiology of autism spectrum disorder; however, the interactions among these intricate networks and their role in the emergence of core autism symptoms remain poorly understood. Additional research on neurochemical changes in autism is essential to elucidate the early neurodevelopmental differences that contribute to the significant heterogeneity of autism spectrum disorder, thereby informing new strategies for treatment and prevention.

Small cell lung cancer exhibits rapid proliferation and significant metastatic potential. There are significant epidemiologic and biological associations with tobacco carcinogens. While most small cell lung cancers display neuroendocrine characteristics, a significant subset of tumors does not possess these features. Genomic profiling of small cell lung cancer demonstrates genetic instability, nearly universal inactivation of the tumor suppressor genes TP53 and RB1, and a significant mutation burden. Due to early metastasis, a limited number of patients are suitable for curative lung resection, necessitating adjuvant platinum-etoposide chemotherapy for these individuals. Consequently, most patients are presently receiving chemoradiation, with or without the addition of immunotherapy. For patients with disease localized to the chest, standard treatment comprises thoracic radiotherapy alongside concurrent platinum-etoposide chemotherapy. Patients diagnosed with metastatic disease receive treatment that combines platinum-etoposide chemotherapy with immunotherapy utilizing an anti-programmed death-ligand 1 monoclonal antibody. Small cell lung cancer initially exhibits a strong response to platinum-based chemotherapy; however, these responses are temporary due to the emergence of drug resistance. Recent years have seen an accelerated accumulation of biological insights into the disease, resulting in a redefinition of the classification scheme for small cell lung cancer. The emerging understanding of molecular subtypes in small cell lung cancer may delineate distinct therapeutic vulnerabilities. The integration of these recent findings with existing knowledge of small cell lung cancer biology and clinical management could result in significant improvements in patient care for this condition. The authors provide an overview of multimodal clinical approaches in small cell lung cancer, emphasizing recent advancements in research that may expedite clinical development.

The use of beta-blockers (bisoprolol) and ACE inhibitors (perindopril) is pathogenetically and clinically justified in patients with stable coronary artery disease (CAD) and concomitant arterial hypertension (AH) . The study showed that prescribing a fixed combination of previously used drugs (perindopril, bisoprolol) for 4 weeks in patients with clinical symptoms or documented CAD can effectively reduce heart rate (HR) and blood pressure (BP) (heart rate levels ≤ 70 bpm were reached in 84.9%, blood pressure ≤ 140/90 mm Hg - 86.9% of patients), reduces the number of angina attacks from 4.4 to 2.6 per week and the need for nitroglycerin - from 4.8 to 2.7 tablets per week, and improve adherence to therapy (66.5% of patients). 

Joint trauma constitutes a substantial proportion of emergency room visits and patients requiring urgent care, imposing considerable financial burdens on society. Diagnostic imaging is essential in the evaluation and treatment of trauma victims. Diagnostic imaging constitutes a complex, multifaceted system, with numerous elements of its workflow susceptible to inefficiencies or human error. Recent advancements in artificial intelligence and machine learning have the potential to transform our medical care delivery systems. This review will offer a comprehensive analysis of the present status of artificial intelligence and machine learning applications in various facets of trauma imaging and propose a vision for how these applications could be utilized to improve diagnostic imaging systems and optimize patient outcomes.

Background

Eye is one of the primary sensory organs, responsible to provide the necessary visual information to the brain. Any abnormality in eye cause mild to severe vision issues and hence appropriate detection and treatment is preferred. Clinical level examination of the eye is commonly performed using image examination procedures and this work considered the Optical Coherence Tomography (OCT) for the study. In the present study, the proposed system aims to develop a tool to classify the OCT-images into normal and abnormal class using the traditional deep-learning (DL) and machine-learning (ML) features.

Methods

This tool consists the following stages; OCT-image collection and resizing based on the chosen DL scheme, image features extraction using DL and ML methods, DL feature reduction using 50% dropout and serially fusing the deep- and machine-features to generate hybrid-features, and binary classification using 5-fold cross-validation.

Results

The developed tool’s merit is verified using; (i) deep-features, (ii) machine-features, and (iii) hybrid-features. The merit of the developed scheme is verified using different binary classifiers and the overall quality metric is considered to verify the tool’s performance.

Conclusions

The study confirms that the hybrid-features based detection provides 97.6% accuracy, when Random Forest classifier is employed, which verifies the tool’s merit on the chosen OCT database. In the future, this tool can be considered to detect the common AEAs, like AMD and the DME.