Mohamed Abouzid
@pums.ump.edu.pl
Department of Physical Pharmacy and Pharmacokinetics
Poznan University of Medical Sciences
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Scopus Publications
Ibrahim A. Bakry, Mohamed Abouzid, Wei Wei, Jun Jin, Dina M. El-Sherif, Xinghe Zhang, Yu Jiahui, Xingguo Wang, and Amal Gohary
Elsevier BV
Austin E Schumacher, Hmwe Hmwe Kyu, Amirali Aali, Cristiana Abbafati, Jaffar Abbas, Rouzbeh Abbasgholizadeh, Madineh Akram Abbasi, Mohammadreza Abbasian, Samar Abd ElHafeez, Michael Abdelmasseh,et al.
Elsevier BV
Mohammad Tanashat, Almothana Manasrah, and Mohamed Abouzid
Springer Science and Business Media LLC
Lamia M. El-Samad, Nahed R. Bakr, Mohamed Abouzid, Eslam S. Shedid, John P. Giesy, Shaden A. M. Khalifa, Hesham R. El-Seedi, Abeer El Wakil, and Yahya Al Naggar
Springer Science and Business Media LLC
Mohamed T. Abuelazm, Mohamed A. Elzeftawy, Manar Ahmed Kamal, Helmy Badr, Mohamed Gamal, Mahmoud Aboulgheit, Basel Abdelazeem, Sherief Abd-elsalam, and Mohamed Abouzid
Springer Science and Business Media LLC
Mohamed Abouzid, Katarzyna Kosicka-Noworzyń, Marta Karaźniewicz-Łada, Prakruti Rao, Nisha Modi, Yingda L. Xie, Scott K. Heysell, Anna Główka, and Leonid Kagan
MDPI AG
Tuberculosis (TB) remains one of the leading global causes of mortality. Several methods have been established to detect anti-TB agents in human plasma and serum. However, there is a notable absence of studies analyzing TB drugs in urine. Thus, our objective was to validate a method for quantifying first-line anti-TB agents: isoniazid (INH), pyrazinamide (PZA), ethambutol (ETH), and rifampicin (RIF), along with its metabolite 25-desacetylrifampicin, and degradation products: rifampicin quinone and 3-formyl-rifampicin in 10 µL of urine. Chromatographic separation was achieved using a Kinetex Polar C18 analytical column with gradient elution (5 mM ammonium acetate and acetonitrile with 0.1% formic acid). Mass spectrometry detection was carried out using a triple-quadrupole tandem mass spectrometer operating in positive ion mode. The lower limit of quantification (LLOQ) was 0.5 µg/mL for INH, PZA, ETH, and RIF, and 0.1 µg/mL for RIF’s metabolites and degradation products. The method was validated following FDA guidance criteria and successfully applied to the analysis of the studied compounds in urine of TB patients. Additionally, we conducted a stability study of the anti-TB agents under various pH and temperature conditions to mimic the urine collection process in different settings (peripheral clinics or central laboratories).
Nada Mostafa Al-dardery, Omar Ahmed Abdelwahab, Mohamed Abouzid, Khaled Albakri, Ali Elkhadragy, Basant E. Katamesh, Rawan Hamamreh, Ahmed B. Mohd, Ahmed Abdelaziz, and Abdulrhman Khaity
Springer Science and Business Media LLC
Abstract Background In this meta-analysis, we aimed to update the clinical evidence regarding the efficacy and safety of TXA in the prevention of PPH. Methods A literature search of PubMed, Scopus, Web of Science, Google Scholar, and Cochrane Library from inception until December 2022 was conducted. We included randomized controlled trials (RCTs) comparing TXA with a placebo among pregnant women. All relevant outcomes, such as total blood loss, the occurrence of nausea and/or vomiting, and changes in hemoglobin, were combined as odds ratios (OR) or mean differences (MD) in the meta-analysis models using STATA 17 MP. Results We included 59 RCTs (18,649 patients) in this meta-analysis. For cesarean birth, TXA was favored over the placebo in reducing total blood loss (MD= -2.11 mL, 95%CI [-3.09 to -1.14], P < 0.001), and occurrence of nausea or/and vomiting (OR = 1.36, 95%CI [1.07 to 1.74], P = 0.01). For vaginal birth, the prophylactic use of TXA was associated with lower total blood loss, and higher occurrence of nausea and/or vomiting (MD= -0.89 mL, 95%CI [-1.47 to -0.31], OR = 2.36, 95%CI [1.32 to 4.21], P = 0.02), respectively. However, there were no differences between the groups in changes in hemoglobin during vaginal birth (MD = 0.20 g/dl, 95%CI [-0.07 to 0.48], P = 0.15). The overall risk of bias among the included studies varies from low to high risk of bias using ROB-II tool for RCTs. Conclusions This meta-analysis suggested that TXA administration is effective among women undergoing cesarean birth or vaginal birth in lowering total blood loss and limiting the occurrence of PPH. Further clinical trials are recommended to test its efficacy on high-risk populations.
Alaa Ramadan, Mohamed El-Samahy, Amr Elrosasy, Mohammed Al-Tawil, Ahmed Abdelaziz, Mostafa A Soliman, and Mohamed Abouzid
Elsevier BV
Ahmed Aljabali, Aya Mohammed Sharkawy, Belal Jaradat, Ibrahim Serag, Nada Mostafa Al-dardery, Mariam Abdelhady, and Mohamed Abouzid
Springer Science and Business Media LLC
AbstractChronic subdural hematoma (cSDH) is a common neurosurgical condition that can cause severe morbidity and mortality. cSDH recurs after surgical evacuation in 5–30% of patients, but drains may help reduce this risk. We aimed to investigate the effect of drainage versus no drainage on the rates of recurrence and mortality, as well as the clinical outcomes of cSDH. Following the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines, we searched four electronic databases (PubMed, Cochrane Library, Scopus, and Web of Science) to identify eligible studies reported up to June 2022. Using Review Manager software, we reported four primary outcomes as odds ratios (ORs) and confidence intervals (CIs). The meta-analysis included a total of 10 studies with 1961 patients. The use of drainage was found to be significantly more effective than non-drainage in reducing the “mortality rate” (OR = 0.65, 95% CI 0.43 to 0.97; P = 0.04), the “recurrence rate” (OR = 0.39, 95% CI 0.28 to 0.55; P < 0.00001), and occurrence of “gross focal neurological deficit” (OR = 0.58, 95% CI 0.37 to 0.89; P = 0.01). No significant difference was found in the occurrence of a Glasgow Coma Scale score of 15 (OR = 1.21, 95% CI 0.84 to 1.76; P = 0.30). The use of drains after burr-hole irrigation reduces the recurrence, mortality, and gross focal neurological deficit rates of chronic subdural hematomas.
Mohamed Abouzid, Yara Roshdy, John Magdy Daniel, Fayed Mohamed Rzk, Ali Ahmed Ali Ismeal, Mohamed Hendawy, Mohammad Tanashat, Marwa Elnagar, Nada Daoud, and Alaa Ramadan
Springer Science and Business Media LLC
Abstract Purpose Investigate inhaled nitric oxide’s influence on mortality rates, mechanical ventilation and cardiopulmonary bypass duration, and length of stay in the intensive care unit and hospital when administered during cardiopulmonary bypass. Methods Following the PRISMA guidelines, we searched four electronic databases (PubMed, EMBASE, Cochrane Library, and Web of Science) up to 4th March 2023. The protocol was registered in the PROSPERO database with ID: CRD42023423007. Using Review Manager software, we reported outcomes as risk ratios (RRs) or mean difference (MD) and confidence intervals (CIs). Results The meta-analysis included a total of 17 studies with 2897 patients. Overall, there were no significant differences in using nitric oxide over control concerning mortality (RR = 1.03, 95% CI 0.73 to 1.45; P = 0.88) or cardiopulmonary bypass duration (MD = −0.14, 95% CI − 0.96 to 0.69; P = 0.74). The intensive care unit days were significantly lower in the nitric oxide group than control (MD = −0.80, 95% CI − 1.31 to −0.29; P = 0.002). Difference results were obtained in terms of the length of stay in the hospital according to sensitivity analysis (without sensitivity [MD = −0.41, 95% CI − 0.79 to −0.02; P = 0.04] vs. with sensitivity [MD = −0.31, 95% CI − 0.69 to 0.07; P = 0.11]. Subgroup analysis shows that, in children, nitric oxide was favored over control in significantly reducing the duration of mechanical ventilation (MD = −4.58, 95% CI − 5.63 to −3.53; P < 0.001). Conclusion Using inhaled nitric oxide during cardiopulmonary bypass reduces the length of stay in the intensive care unit, and for children, it reduces the duration of mechanical ventilation.
Dina M. El‑Sherif, Manal G. Eloffy, Alaa Elmesery, Mohamed Abouzid, Mohammed Gad, Hesham R. El‑Seedi, Markus Brinkmann, Kai Wang, and Yahya ِAl Naggar
Springer Science and Business Media LLC
Khaled Khudadah, Alaa Ramadan, Ahmed Othman, Neveen Refaey, Amr Elrosasy, Ayoub Rezkallah, Toka Heseba, Mostafa Hossam El Din Moawad, Ammar Mektebi, Sewar A Elejla,et al.
Portland Press Ltd.
Abstract Patients with COVID-19 exhibit similar symptoms to neonatal respiratory distress syndrome. SARS-CoV-2 spike protein has been shown to target alveolar type 2 lung cells which synthesize and secrete endogenous surfactants leading to acute respiratory distress syndrome in some patients. This was proven by post-mortem histopathological findings revealing desquamated alveolar type 2 cells. Surfactant use in patients with COVID-19 respiratory distress syndrome results in marked improvement in respiratory parameters but not mortality which needs further clinical trials comparing surfactant formulas and modes of administration to decrease the mortality. In addition, surfactants could be a promising vehicle for specific drug delivery as a liposomal carrier, which requires more and more challenging efforts. In this review, we highlight the current reviews and two clinical trials on exogenous surfactant therapy in COVID-19-associated respiratory distress in adults, and how surfactant could be a promising drug to help fight the COVID-19 infection.
Alhassan Ali Ahmed, Agnieszka Brychcy, Mohamed Abouzid, Martin Witt, and Elżbieta Kaczmarek
MDPI AG
Background: In the past vicennium, several artificial intelligence (AI) and machine learning (ML) models have been developed to assist in medical diagnosis, decision making, and design of treatment protocols. The number of active pathologists in Poland is low, prolonging tumor patients’ diagnosis and treatment journey. Hence, applying AI and ML may aid in this process. Therefore, our study aims to investigate the knowledge of using AI and ML methods in the clinical field in pathologists in Poland. To our knowledge, no similar study has been conducted. Methods: We conducted a cross-sectional study targeting pathologists in Poland from June to July 2022. The questionnaire included self-reported information on AI or ML knowledge, experience, specialization, personal thoughts, and level of agreement with different aspects of AI and ML in medical diagnosis. Data were analyzed using IBM® SPSS® Statistics v.26, PQStat Software v.1.8.2.238, and RStudio Build 351. Results: Overall, 68 pathologists in Poland participated in our study. Their average age and years of experience were 38.92 ± 8.88 and 12.78 ± 9.48 years, respectively. Approximately 42% used AI or ML methods, which showed a significant difference in the knowledge gap between those who never used it (OR = 17.9, 95% CI = 3.57–89.79, p < 0.001). Additionally, users of AI had higher odds of reporting satisfaction with the speed of AI in the medical diagnosis process (OR = 4.66, 95% CI = 1.05–20.78, p = 0.043). Finally, significant differences (p = 0.003) were observed in determining the liability for legal issues used by AI and ML methods. Conclusion: Most pathologists in this study did not use AI or ML models, highlighting the importance of increasing awareness and educational programs regarding applying AI and ML in medical diagnosis.
Hesham R. El-Seedi, Noha S. Said, Nermeen Yosri, Hamada B. Hawash, Dina M. El-Sherif, Mohamed Abouzid, Mohamed M. Abdel-Daim, Mohammed Yaseen, Hany Omar, Qiyang Shou,et al.
Elsevier BV
Gharieb S. El-Sayyad, Dounia Elfadil, Mohamed S. Gaballah, Dina M. El-Sherif, Mohamed Abouzid, Hanady G. Nada, Mohamed S. Khalil, and Mohamed A. Ghorab
Royal Society of Chemistry (RSC)
COVID-19 pandemic has significantly impacted waste generation in the form of personal protective equipment. This review article examines the nanotechnology applications to reduce the environmental risks of waste associated with the COVID-19 pandemic.
Ahmed Ismail Eatmann, Esraa Hamouda, Heba Hamouda, Hossam Khaled Farouk, Afnan W. M. Jobran, Abdallah A. Omar, Alyaa Khaled Madeeh, Nada Mostafa Al-dardery, Salma Elnoamany, Eman Gamal Abd-Elnasser,et al.
MDPI AG
Glioblastoma is the most common malignant primary brain tumor in adults. Thalidomide is a vascular endothelial growth factor inhibitor that demonstrates antiangiogenic activity, and may provide additive or synergistic anti-tumor effects when co-administered with other antiangiogenic medications. This study is a comprehensive review that highlights the potential benefits of using thalidomide, in combination with other medications, to treat glioblastoma and its associated inflammatory conditions. Additionally, the review examines the mechanism of action of thalidomide in different types of tumors, which may be beneficial in treating glioblastoma. To our knowledge, a similar study has not been conducted. We found that thalidomide, when used in combination with other medications, has been shown to produce better outcomes in several conditions or symptoms, such as myelodysplastic syndromes, multiple myeloma, Crohn’s disease, colorectal cancer, renal failure carcinoma, breast cancer, glioblastoma, and hepatocellular carcinoma. However, challenges may persist for newly diagnosed or previously treated patients, with moderate side effects being reported, particularly with the various mechanisms of action observed for thalidomide. Therefore, thalidomide, used alone, may not receive significant attention for use in treating glioblastoma in the future. Conducting further research by replicating current studies that show improved outcomes when thalidomide is combined with other medications, using larger sample sizes, different demographic groups and ethnicities, and implementing enhanced therapeutic protocol management, may benefit these patients. A meta-analysis of the combinations of thalidomide with other medications in treating glioblastoma is also needed to investigate its potential benefits further.
Tomomi Hisato, Shreya Nandy, Eman M. Monga, Paulina Sytek, Mohamed Abouzid, and Alhassan Ali Ahmed
Frontiers Media SA
ObjectivesHealthcare students went through a rough time in March 2022 due to extreme changes in the educational system (moving from online to stationary learning) and Ukrainian-Russian war circumstances. Our study aims to update knowledge about psychological distress and its impact on healthcare students in Poland after two years of the COVID-19 pandemic, followed by intense and political instability in Europe.MethodsWe conducted a cross-sectional study on healthcare students from Poznan University of Medical Sciences, Poland, from March to April 2022. The questionnaire included subjective retrospective 5-point Likert-scales ratings of anxiety, stress, and depression and self-reported information on various psychological distress predictors.ResultsThe anxiety levels at the beginning of the COVID-19 pandemic were higher than in April 2022. There was no significant reduction in stress and depression. Females had higher initial anxiety levels than post-pandemic levels. Higher reported levels of anxiety, stress, and depression were significantly correlated with political instability in Eastern Europe (Spearman ranxiety = 0.178, rstress = 0.169, rdepression = 0.154, p ≤ 0.001, respectively). The concern about moving towards online education showed a significant association only with stress level (rstress = 0.099, p = 0.034). We also observed a positive correlation between anxiety, stress, and depression and deteriorating sleep quality (Spearman ranxiety,=0.325, rstress = 0.410, rdepression = 0.440, p &lt; 0.001), the feeling of worsening relationships with family and peers (ranxiety = 0.325, rstress = 0.343, rdepression = 0.379, p &lt; 0.001), and the sense of loss of efficient time management (ranxiety = 0.321, rstress = 0.345, rdepression = 0.410, p &lt; 0.001).ConclusionThroughout the progression of the Ukrainian war and the COVID-19 pandemic, females reported improved (lower levels) levels of anxiety. Nevertheless, the current levels of self-reported anxiety post-pandemic remain alarming, while stress and depression levels remained unchanged. Mental, psychological, and social support activities are required for healthcare students, especially those away from their families. Time management, academic performance, and coping skills in relation to the additional stressors of war and the global pandemic require further research in this group of students.
Mohamed Abouzid, Marta Karaźniewicz-Łada, Basel Abdelazeem, and James Robert Brašić
MDPI AG
Vitamin D requires activation to show its pharmacological effect. While most studies investigate the association between vitamin D and disease, only a few focus on the impact of vitamin D metabolism gene polymorphisms (vitDMGPs). This bibliometric study aims to provide an overview of current publications on vitDMGPs (CYP27B1, CYP24A1, CYP2R1, CYP27A1, CYP2R1, DHCR7/NADSYN1), compare them across countries, affiliations, and journals, and inspect keywords, co-citations, and citation bursts to identify trends in this research field. CiteSpace© (version 6.1.R3, Chaomei Chen), Bibliometrix© (R version 4.1.3 library, K-Synth Srl, University of Naples Federico II, Naples, Italy), VOSviewer© (version 1.6.1, Nees Jan van Eck and Ludo Waltman, Leiden University, Leiden, Netherlands) and Microsoft® Excel 365 (Microsoft, Redmond, Washington, USA) classified and summarized Web of Science articles from 1998 to November 2022. We analyzed 2496 articles and built a timeline of co-citations and a bibliometric keywords co-occurrence map. The annual growth rate of vitDMGPs publications was 18.68%, and their relative research interest and published papers were increasing. The United States of America leads vitDMGPs research. The University of California System attained the highest quality of vitDMGPs research, followed by the American National Institutes of Health and Harvard University. The three productive journals on vitDMGPs papers are J. Steroid. Biochem. Mol. Biol., PLOS ONE, and J. Clin. Endocrinol. Metab. We highlighted that the vitDMGPs domain is relatively new, and many novel research opportunities are available, especially those related to studying single nucleotide polymorphisms or markers in a specific gene in the vitamin D metabolism cycle and their association with disease. Genome-wide association studies, genetic variants of vitDMGPs, and vitamin D and its role in cancer risk were the most popular studies. CYP24A1 and CYB27A1 were the most-studied genes in vitDMGPs. Insulin was the longest-trending studied hormone associated with vitDMGPs. Trending topics in this field relate to bile acid metabolism, transcriptome and gene expression, biomarkers, single nucleotide polymorphism, and fibroblast growth factor 23. We also expect an increase in original research papers investigating the association between vitDMGPs and coronavirus disease 2019, hypercalcemia, Smith–Lemli–Opitz syndrome, 27-hydroxycholesterol, and mendelian randomization. These findings will provide the foundations for innovations in the diagnosis and treatment of a vast spectrum of conditions.
Bartosz Wojtera, Nisha Singh, Sofia Iankovitch, Lilly Post, Alhassan Ali Ahmed, and Mohamed Abouzid
Public Library of Science (PLoS)
Our study aims to update knowledge about psychological distress and its changes in the Polish group of academic medical teachers after two years of a global pandemic. During the coronavirus disease, teachers were challenged to rapidly transition into remote teaching and adapt new assessment and evaluation systems for students, which might have been a completely novel situation that was not addressed before, especially in medical universities in Poland. We conducted a cross-sectional study at Poznan University of Medical Sciences from March to April 2022. The questionnaire included self-reported information on anxiety, stress, and depression. We found that post-pandemic levels of anxiety, stress, and depression have significantly (p<0.001) improved compared to initial levels at the beginning of coronavirus disease. In multivariate models, females had higher odds of improving levels of anxiety (OR = 0.46; 95% CI = -1.58–(-0.03); p = 0.04), stress (OR = 0.36; 95% CI = -1.83–(-0.22); p = 0.01), and depression (OR = 0.0.37; 95% CI = -1.58–(-0.12); p = 0.03). Anxiety, stress, or depression were not significantly associated with years of experience, the number of taught subjects, and weekly teaching hours, but only with the academic work during COVID-19 (Spearman ranxiety = 0.37, rstress = 0.32, rdepression = 0.37, p<0.001). For the virtual learning concerns, 79% of teachers reported that students might engage less; and it was correlated with higher weekly teaching hours (r = 0.19, p<0.05). Even though only 29.8% reported cheating as a concern, it was correlated with a higher number of taught subjects (r = 0.2, p<0.05). Levels of anxiety, stress, and depression have improved as time passed, not affecting teachers’ academic performance. Concerns about virtual learning have been raised, suggesting it may be conjoined with classroom learning but not as an alternative. Universities should highlight the importance of seeking psychological support and provide essential programs to employees. Teachers’ coping skills with psychological distress should be further studied.
Ahmed M. Elgarahy, M. G. Eloffy, Ahmed Hammad, Ayman N. Saber, Dina M. El-Sherif, Ahmed Mohsen, Mohamed Abouzid, and Khalid Z. Elwakeel
Springer Science and Business Media LLC
Dina M. El-Sherif and Mohamed Abouzid
Springer Science and Business Media LLC
Abstract Background Mobile health applications (mHealth apps) offer enormous promise for illness monitoring and treatment to improve the provided medical care and promote health and wellbeing. Objective We applied bibliometric quantitative analysis and network visualization to highlight research trends and areas of particular interest. We expect by summarizing the trends in mHealth app research, our work will serve as a roadmap for future investigations. Methods Relevant English publications were extracted from the Scopus database. VOSviewer (version 1.6.17) was used to build coauthorship networks of authors, countries, and the co-occurrence networks of author keywords. Results We analyzed 550 published articles on mHealth apps from 2020 to February 1, 2021. The yearly publications increased from 130 to 390 in 2021. JMIR mHealth and uHealth (33/550, 6.0%), J. Med. Internet Res. (27/550, 4.9%), JMIR Res. Protoc. (22/550, 4.0%) were the widest journals for these publications. The United States has the largest number of publications (143/550, 26.0%), and England ranks second (96/550, 17.5%). The top three productive authors were: Giansanti D., Samuel G., Lucivero F., and Zhang L. Frequent authors’ keywords have formed major 4 clusters representing the hot topics in the field: (1) artificial intelligence and telehealthcare; (2) digital contact tracing apps, privacy and security concerns; (3) mHealth apps and mental health; (4) mHealth apps in public health and health promotion. Conclusions mHealth apps undergo current developments, and they remain hot topics in COVID-19. These findings might be useful in determining future perspectives to improve infectious disease control and present innovative solutions for healthcare.
Abdallah A. Omar, Lina Basiouny, Ahmed S. Elnoby, Abeer Zaki, and Mohamed Abouzid
Springer Science and Business Media LLC
AbstractThe therapy design of childhood acute lymphoblastic leukemia (ALL) has evolved over the past 60 years. The St. Jude Children’s Research Hospital has developed 17 treatment protocols from 1962 to 2017, aiming to have the most effective and least toxic treatment form. This review summarizes each protocol’s objectives, inclusion criteria, treatment phases, pharmacological agents, irradiation therapy, response criteria, risk stratification, type of relapse, and overall survival. The enhancement and successful application of preventive therapy for ALL and following a risk-stratified approach have progressively improved the cure rate of childhood ALL, with relatively few adverse sequelae. Moreover, St. Jude’s scientific theme serves as a reminder of the principal factor of research directed to a catastrophic disease such as ALL.
Mohamed Abouzid, Dina M. El-Sherif, Yahya Al Naggar, Mohammed M. Alshehri, Shaima Alothman, Hesham R. El-Seedi, Rayhana Trabelsi, Osama Mohamed Ibrahim, Esraa Hamouda Temraz, Ahmad Buimsaedah,et al.
Springer Science and Business Media LLC
Abstract Background Coronavirus 2019 (COVID-19) pandemic led to a massive global socio-economic tragedy that has impacted the ecosystem. This paper aims to contextualize urban and rural environmental situations during the COVID-19 pandemic in the Middle East and North Africa (MENA) Region. Results An online survey was conducted, 6770 participants were included in the final analysis, and 64% were females. The majority of the participants were urban citizens (74%). Over 50% of the urban residents significantly (p < 0.001) reported a reduction in noise, gathering in tourist areas, and gathering in malls and restaurants. Concerning the pollutants, most urban and rural areas have reported an increase in masks thrown in streets (69.49% vs. 73.22%, resp.; p = 0.003). Plastic bags and hospital waste also increased significantly with the same p-value of < 0.001 in urban areas compared with rural ones. The multifactorial logistic model for urban resident predictors achieved acceptable discrimination (AUROC = 0.633) according to age, crowdedness, noise and few pollutants. Conclusion The COVID-19 pandemic had a beneficial impact on the environment and at the same time, various challenges regarding plastic and medical wastes are rising which requires environmental interventions.
Alhassan Ali Ahmed, Mohamed Abouzid, and Elżbieta Kaczmarek
MDPI AG
The revolution of artificial intelligence and its impacts on our daily life has led to tremendous interest in the field and its related subtypes: machine learning and deep learning. Scientists and developers have designed machine learning- and deep learning-based algorithms to perform various tasks related to tumor pathologies, such as tumor detection, classification, grading with variant stages, diagnostic forecasting, recognition of pathological attributes, pathogenesis, and genomic mutations. Pathologists are interested in artificial intelligence to improve the diagnosis precision impartiality and to minimize the workload combined with the time consumed, which affects the accuracy of the decision taken. Regrettably, there are already certain obstacles to overcome connected to artificial intelligence deployments, such as the applicability and validation of algorithms and computational technologies, in addition to the ability to train pathologists and doctors to use these machines and their willingness to accept the results. This review paper provides a survey of how machine learning and deep learning methods could be implemented into health care providers’ routine tasks and the obstacles and opportunities for artificial intelligence application in tumor morphology.
Dina M. El-Sherif, Manal G. Eloffy, Alaa Elmesery, Mohamed Abouzid, Mohammed Gad, Hesham R. El-Seedi, Markus Brinkmann, Kai Wang, and Yahya Al Naggar
Springer Science and Business Media LLC