Introduction: Radiology and medical imaging examinations bring together the means of acquiring and restoring images of the human body from different physical phenomena such as the absorption of X-rays, nuclear magnetic resonance, reflection of ultrasound waves or radioactivity, with which we sometimes associate optical imaging techniques such as endoscopy. The objective of our study was to study the profile of radiological examinations in the radiology and medical imaging department of the “KALALE” medical clinic. Methodology: This was a descriptive, prospective study that took place over a period of six (6) months in the radiology and medical imaging department of the “KALALE” medical clinic and the centers of health of communes III and IV of Bamako in Mali. Data collection was carried out on a survey form. The parameters studied were sociodemographic data, clinical data, radiological data. Results: We recorded 6030 radiology examinations of which 19% of the examination frequency cases came from the “KALALE” medical clinic and 81% of the cases were referrals from the reference health centers of communes III and IV. There were 1500 X-rays or 24.9% of cases including 54% cases of bone X-rays;5% of cases of skull and face X-rays;5% of cases of Intravenous Urography (IVU);4% of cases of Hysterosalpingography (HSG);3% of cases of Retrograde Ureterocystography (UCR) and 1% of cases of X-ray of the Abdomen without preparation (ASP). We found 4530 ultrasounds or 75.1% of cases. Conclusion: Medical imaging has become essential in the study of the human body and now constitutes an essential tool for the detection and treatment of most pathologies, from simple fractures to the most serious tumors.
Currently, most public higher learning institutions in Tanzania rely on traditional in-class examinations, requiring students to register and present identification documents for examinations eligibility verification. This system, however, is prone to impersonations due to security vulnerabilities in current students’ verification system. These vulnerabilities include weak authentication, lack of encryption, and inadequate anti-counterfeiting measures. Additionally, advanced printing technologies and online marketplaces which claim to produce convincing fake identification documents make it easy to create convincing fake identity documents. The Improved Mechanism for Detecting Impersonations (IMDIs) system detects impersonations in in-class exams by integrating QR codes and dynamic question generation based on student profiles. It consists of a mobile verification app, built with Flutter and communicating via RESTful APIs, and a web system, developed with Laravel using HTML, CSS, and JavaScript. The two components communicate through APIs, with MySQL managing the database. The mobile app and web server interact to ensure efficient verification and security during examinations. The implemented IMDIs system was validated by a mobile application which is integrated with a QR codes scanner for capturing codes embedded in student Identity Cards and linking them to a dynamic question generation model. The QG model uses natural language processing (NLP) algorithm and Question Generation (QG) techniques to create dynamic profile questions. Results show that the IMDIs system could generate four challenging profile-based questions within two seconds, allowing the verification of 200 students in 33 minutes by one operator. The IMDIs system also tracks exam-eligible students, aiding in exam attendance and integrates with a Short Message Service (SMS) to report impersonation incidents to a dedicated security officer in real-time. The IMDIs system was tested and found to be 98% secure, 100% convenient, with a 0% false reject
Jasson Lwangisa DomitionRogers Philip BhalalusesaSelemani Ismail
