Ahmed M Kamel

Mr. Ahmed M Kamel

Faculty of Pharmacy, Cairo University, Cairo, Al Qāhirah, Egypt
orcid

Research Focus & Metrics

Academic Career Length

35Years (1992-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 January 2022 in Journal of Retailing and Consumer Services
Verified
Journal Article
Open access
JSJoni Salminen
Joni Salminen
CKChandrashekhar Kandpal
Chandrashekhar Kandpal
AKAhmed M Kamel
Ahmed M Kamel
SJSoon-Gyo Jung
Soon-Gyo Jung
BJBernard J. Jansen
Bernard J. Jansen

1 November 2020 in BJR|Open
Verified
Journal Article
Open access
ADABDULMAJEED BIN DAHMASH
ABDULMAJEED BIN DAHMASH
MAMohammed Alabdulkareem
Mohammed Alabdulkareem
AAAljabriyah Alfutais
Aljabriyah Alfutais
AKAhmed M Kamel
Ahmed M Kamel
FAFeras Alkholaiwi
Feras Alkholaiwi
MAMohammed Almoaiqel
Mohammed Almoaiqel
Objective: To test medical students’ perceptions of the impact of artificial intelligence (AI) on radiology and the influence of these perceptions on their choice of radiology as a lifetime career. Methods: A cross-sectional multicenter survey of medical students in Saudi Arabia was conducted in April 2019. Results: Of the 476 respondents, 34 considered radiology their first specialty choice, 26 considered it their second choice, and 65 considered it their third choice. Only 31% believed that AI would replace radiologists in their lifetime, while 44.8% believed that AI would minimize the number of radiologists needed in the future. Approximately 50% believed they had a good understanding of AI; however, when knowledge of AI was tested using five questions, on average, only 22% of the questions were answered correctly. Among the respondents who ranked radiology as their first choice, 58.8% were anxious about the uncertain impact of AI on radiology. The number of respondents who ranked radiology as one of their top three choices increased by 14 when AI was not a consideration. Radiology conferences and the opinions of radiologists had the most influence on the respondents’ preferences for radiology. Conclusion: The worry that AI might displace radiologists in the future had a negative influence on medical students’ consideration of radiology as a career. Academic radiologists are encouraged to educate their students about AI and its potential impact when students are considering radiology as a lifetime career choice. Advances in knowledge: Rapid advances of AI in radiology will certainly impact the specialty, the concern of AI impact on radiology had negative influence in our participants and investing in AI education and is highly recommended.

2 June 2021 in Reviews in Medical Virology
Verified
Journal Article
Open access
PDF file
AKAhmed M Kamel
Ahmed M Kamel
MMMona S. A. Monem
Mona S. A. Monem
NSNour A. Sharaf
Nour A. Sharaf
NMNada Magdy
Nada Magdy
SFSamar F. Farid
Samar F. Farid
Summary: Azithromycin (AZM) is commonly used in Covid‐19 patients based on low‐quality evidence, increasing the risk of developing adverse events and antimicrobial resistance. The current systematic review and meta‐analysis investigated the safety and efficacy of AZM in treating Covid‐19 patients using published randomized controlled trials. Google Scholar, PubMed, Scopus, Cochrane Library, Clinical Trials.gov, MEDLINE, bioRxiv and medRxiv were searched for relevant studies. The random‐effects model was used to pool estimates using the Paule–Mandel estimate for heterogeneity. The odds ratio and raw difference in medians were used for dichotomous and continuous outcomes, respectively. The analysis included seven studies with 8822 patients (median age, 55.8 years; 61% males). The risk of bias was assessed as ‘low’ for five of the seven mortality results and as ‘some concerns’ and ‘high’ in one trial each. There were 657/3100 (21.2%) and 1244/5654 (22%) deaths among patients randomized to AZM and standard of care, respectively. The use of AZM was not associated with mortality in Covid‐19 patients (OR = 0.96, 95% CI 0.88–1.05, p = 0.317 based on the random‐effect meta‐analysis). The use of AZM was not associated with need for invasive mechanical ventilation (OR = 0.96, 95% CI 0.49–1.87, p = 0.85) and length of stay (Δ = 1.11, 95% CI −2.08 to 4.31, p = 0.49). The results show that using AZM as routine therapy in Covid‐19 patients is not justified due to lack of efficacy and potential risk of bacterial resistance that is not met by an increased clinical benefit.

25 April 2018 in The Journal of Maternal-Fetal & Neonatal Medicine
Verified
Journal Article
Closed access
AHAhmed M. Hussein
Ahmed M. Hussein
DDDina Mohamed Refaat Dakhly
Dina Mohamed Refaat Dakhly
ARAyman N. Raslan
Ayman N. Raslan
AKAhmed M Kamel
Ahmed M Kamel
AHAli Abdel Hafeez
Ali Abdel Hafeez
MMMohamed Momtaz
Mohamed Momtaz
Objective: To identify the role of bilateral internal iliac artery (IIA) ligation on reducing blood loss in abnormally invasive placenta (AIP) undergoing caesarean hysterectomy. Methods: In this parallel-randomized control trial, 57 pregnant females with ultrasound features suggestive of AIP were enrolled. They were randomized into two groups; IIA group (n = 29 cases) performed bilateral IIA ligation followed by caesarean hysterectomies, while Control group (n = 28 cases) underwent caesarean hysterectomy only. The main outcome was the difference in the estimated intraoperative blood loss between the two groups. Results: There was no significant difference between the two groups regarding the intraoperative estimated blood loss (1632 ± 804 versus 1698 ± 1251, p value .83). The operative procedure duration (minutes) (223 ± 66 versus 171 ± 41.4, p value .001) varied significantly between the two groups. Conclusions: Bilateral internal iliac artery ligation, in cases of AIP undergoing caesarean hysterectomy, is not recommended for routine practice to minimize blood loss intraoperatively.

6 October 2020 in Reviews in Medical Virology
Verified
Journal Article
Closed access
PDF file
AKAhmed M Kamel
Ahmed M Kamel
MSMona Sobhy
Mona Sobhy
NMNada Magdy
Nada Magdy
NSNirmeen Sabry
Nirmeen Sabry
SFSamar Farid
Samar Farid

21 April 2019 in Gynecological Endocrinology
Verified
Journal Article
Closed access
AMAhmed M Maged
Ahmed M Maged
AKAhmed M Kamel
Ahmed M Kamel
FAFouad Abu-Hamila
Fouad Abu-Hamila
RERasha O Elkomy
Rasha O Elkomy
OOOmar A Ohida
Omar A Ohida
WRWafaa Ramadan
Wafaa Ramadan
To assess the value of endometrial thickness, volume, and sub-endometrial perfusion in women undergoing IVF. In 82 women candidate for ICSI, endometrial thickness and sub-endometrial perfusion were measured with a trans-vaginal 2 D ultrasound and 3 D power Doppler respectively on day of hCG trigger and Embryo transfer (ET). The primary outcome was the clinical pregnancy rate. Endometrial volume showing a statistically significant difference between pregnant and nonpregnant women (4.11 ± 1.19 vs. 3.4 ± 1.1 p = .019) on day of triggering and at ET (4.02 ± 1.15 vs. 3.45 ± 0.90, p = .022). VFI was significantly higher in pregnant group at both days of triggering and ET (0.54 ± 0.48 vs. 0.33 ± 0.31 and 0.47 ± 0.22 vs. 0.34 ± 0.2, p = .02). At cutoff values of 3.265 and 2.95 cm3 (70 & 80% sensitivity, specificity 64.5 & 51.6%, a positive predictive value 38.9 & 34.8%, and negative predictive value 87.0 & 88.9%) to predict pregnancy on the day of hCG trigger & ET respectively. Cutoff value for Endometrial VFI on the day of ET was 0.674 (sensitivity of 70%, specificity of 80.6%, PPV 53.8%, and NPV 89.3%). Higher endometrial volume and VFI were associated with pregnancy.