Enas Raml
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Enas Raml has a total of 4 co-authors. Here are the top co-authors by number of shared publications:
- Ahmad F. Turki
Electrical and Computer Engineering Department, Faculty of Engineering, King Abdulaziz University, Jeddah 21589, Saudi Arabia
1 shared publication Maidah Algarni
Department of General Surgery, King Abdulaziz University, Saudi Arabia
1 shared publicationMohammed Nassif
Department of General Surgery, King Abdulaziz University, Saudi Arabia
1 shared publicationNora Trabulsi
Department of General Surgery, King Abdulaziz University, Saudi Arabia
1 shared publication
Latest Publications
- Open Access
Enhancing Pediatric Adnexal Torsion Diagnosis: Prediction Method Utilizing Machine Learning Techniques
This study systematically examines pediatric adnexal torsion, proposing a diagnostic approach using machine learning techniques to distinguish it from acute appendicitis. Our retrospective analysis involved 41 female pediatric patients divided into two groups: 21 with adnexal torsion (group 1) and 20 with acute appendicitis (group 2). In group 1, the average age was 10 ± 2.6 years, while in group 2, it was 9.8 ± 21.9 years. Our analysis found no statistically significant age distinctions between these two groups. Despite acute lower abdominal pain being a common factor, group 1 displayed shorter pain duration (28.9 h vs. 46.8 h, p < 0.05), less vomiting (28% vs. 50%, p < 0.05), lower fever incidence (4.7% vs. 50%, p < 0.05), reduced leukocytosis (57% vs. 75%, p < 0.05), and CRP elevation (30% vs. 80%, p < 0.05) compared to group 2. Machine learning techniques, specifically support vector classifiers, were employed using clinical presentation, pain duration, white blood cell counts, and ultrasound findings as features. The classifier consistently demonstrated an average predictive accuracy of 87% to 97% in distinguishing adnexal torsion from appendicitis, as confirmed across various SVM models employing different kernels. Our findings emphasize the capacity of support vector machines (SVMs) and machine learning as a whole to augment diagnostic accuracy when distinguishing between adnexal torsion and acute appendicitis. Nevertheless, it is imperative to validate these results through more extensive investigations and explore alternative machine learning models for a comprehensive understanding of their diagnostic capabilities.
Open AccessEnhancing Pediatric Adnexal Torsion Diagnosis: Prediction Method Utilizing Machine Learning Techniques
This study systematically examines pediatric adnexal torsion, proposing a diagnostic approach using machine learning techniques to distinguish it from acute appendicitis. Our retrospective analysis involved 41 female pediatric patients divided into two groups: 21 with adnexal torsion (group 1) and 20 with acute appendicitis (group 2). In group 1, the average age was 10 ± 2.6 years, while in group 2, it was 9.8 ± 21.9 years. Our analysis found no statistically significant age distinctions between these two groups. Despite acute lower abdominal pain being a common factor, group 1 displayed shorter pain duration (28.9 h vs. 46.8 h, p < 0.05), less vomiting (28% vs. 50%, p < 0.05), lower fever incidence (4.7% vs. 50%, p < 0.05), reduced leukocytosis (57% vs. 75%, p < 0.05), and CRP elevation (30% vs. 80%, p < 0.05) compared to group 2. Machine learning techniques, specifically support vector classifiers, were employed using clinical presentation, pain duration, white blood cell counts, and ultrasound findings as features. The classifier consistently demonstrated an average predictive accuracy of 87% to 97% in distinguishing adnexal torsion from appendicitis, as confirmed across various SVM models employing different kernels. Our findings emphasize the capacity of support vector machines (SVMs) and machine learning as a whole to augment diagnostic accuracy when distinguishing between adnexal torsion and acute appendicitis. Nevertheless, it is imperative to validate these results through more extensive investigations and explore alternative machine learning models for a comprehensive understanding of their diagnostic capabilities.
- Open Access
- 1 January 2019
- Published by Oxford University Press (OUP) in Journal of Surgical Case Reports
- Vol. 2019 (1) , rjz004
Small bowel intussusception and concurrent sigmoid polyp with malignant transformation in Peutz–Jeghers syndrome
Peutz–Jeghers syndrome (PJS) is an autosomal dominant condition characterized by the association of gastrointestinal polyposis, mucocutaneous pigmentation and cancer predisposition McGarrity, Amos, Baker (Peutz–Jeghers Syndrome, GeneReviews(R), National Center of Biotechnology Information.). Intussusception and malignant polyps are not rare complications of PJS, where the lifetime risk of intussusception is 48% and the possibility of developing any cancer by age 65 years is 37% Kopacova, Tacheci, Rejchrt, Bures (Peutz-Jeghers syndrome: diagnostic and therapeutic approach. World J Gastroenterol 2009;15:5397–408.). Very few cases of malignant polyps causing intussusception associated with synchronous malignant polyp in PJS have been reported to date Cai, Tian, Zhou, He, Hu, Deng (Jejunal intussusception and polyps with different types of malignant transformation in Peutz-Jeghers syndrome: report of a case. Oncol Lett 2013;5:239–41.). We describe a case of a patient with PJS presenting with symptomatic jejunal intussusception and an incidentally found malignant hamartoma in the sigmoid colon.
- 1 January 2019
- Published by Oxford University Press (OUP) in Journal of Surgical Case Reports
- Vol. 2019 (1) , rjz004
Open AccessSmall bowel intussusception and concurrent sigmoid polyp with malignant transformation in Peutz–Jeghers syndrome
Peutz–Jeghers syndrome (PJS) is an autosomal dominant condition characterized by the association of gastrointestinal polyposis, mucocutaneous pigmentation and cancer predisposition McGarrity, Amos, Baker (Peutz–Jeghers Syndrome, GeneReviews(R), National Center of Biotechnology Information.). Intussusception and malignant polyps are not rare complications of PJS, where the lifetime risk of intussusception is 48% and the possibility of developing any cancer by age 65 years is 37% Kopacova, Tacheci, Rejchrt, Bures (Peutz-Jeghers syndrome: diagnostic and therapeutic approach. World J Gastroenterol 2009;15:5397–408.). Very few cases of malignant polyps causing intussusception associated with synchronous malignant polyp in PJS have been reported to date Cai, Tian, Zhou, He, Hu, Deng (Jejunal intussusception and polyps with different types of malignant transformation in Peutz-Jeghers syndrome: report of a case. Oncol Lett 2013;5:239–41.). We describe a case of a patient with PJS presenting with symptomatic jejunal intussusception and an incidentally found malignant hamartoma in the sigmoid colon.