Medical Imaging Students Research Articles

Investigating the use of the HIS-based BOPPPS teaching model in medical imaging experimental course instruction

BackgroundTraditional teaching methods for medical imaging experimental courses exhibit limitations that reduce efficacy. This quasi-experimental crossover study aimed to evaluate the effectiveness of the Bridge-In, Objective, Pre-Assessment, Participatory Learning, Post-Assessment, and Summary (BOPPPS) teaching model based on the Hospital Information System (HIS) in teaching medical imaging experimental courses to undergraduate students in a five-year medical imaging programme.Methods117 medical imaging students who were interning at the First Affiliated Hospital of Xinxiang Medical University in the academic year 2021–2022 made up the research subjects. During the first semester, the first group was instructed using the BOPPPS teaching model based on HIS, while the second group was instructed using the standard teaching model. The two student groups swapped instructional models in the second semester. After the course, questionnaire surveys and closed-book exams were used to evaluate the effectiveness of the instruction.ResultsCompared to the group using the traditional teaching model, the BOPPPS teaching model group scored significantly higher on case reading and overall final test outcomes, and this difference was statistically significant (In the first semester, the scores of case reading questions were 39.27 ± 3.39 VS 35.31 ± 2.77,P < 0.001; the total scores were 77.47 ± 6.61 VS 74.33 ± 4.17,P = 0.003. In the second semester, the scores of case reading questions were 39.79 ± 3.45 VS 35.47 ± 3.15,P < 0.001; the total scores were 78.36 ± 5.11 VS 74.53 ± 5.68, P < 0.001). On multiple-choice questions, however, there was no statistically significant difference in the scores between the standard teaching model group and the BOPPPS teaching model group. Over 80% of the students rated questions 1–9 with a score of 4 or 5, indicating that students’ evaluations of the BOPPPS teaching model in terms of learning efficiency, interest, clinical reasoning ability, and course satisfaction were all consistently positive.ConclusionThe HIS-based BOPPPS teaching model has significantly enhanced teaching effectiveness, particularly in case analysis and clinical thinking skills, outperforming traditional teaching methods. It has also effectively increased students’ interest in learning and their satisfaction.

Evaluation of a classroom-based medical imaging artificial intelligence educational intervention in Ghana: A pre-test/post-test study design.

Evaluation of a classroom-based medical imaging artificial intelligence educational intervention in Ghana: A pre-test/post-test study design.

Exploring undergraduate medical imaging students' perception of clinical stressors in Ghana.

Exploring undergraduate medical imaging students' perception of clinical stressors in Ghana.

Clinical learning experiences of medical imaging students in a resource-limited environment: A case study at the University for Development Studies, Ghana.

Clinical learning experiences of medical imaging students in a resource-limited environment: A case study at the University for Development Studies, Ghana.

Integrating AI into medical imaging curricula: Insights from UK HEIs.

Integrating AI into medical imaging curricula: Insights from UK HEIs.

Effectiveness of Multi-Modal Teaching Based on Online Case Libraries in the Education of Gene Methylation Combined with Spiral CT Screening for Pulmonary Ground-Glass Opacity Nodules

Objective: To explore the effectiveness of multi-modal teaching based on an online case library in the education of gene methylation combined with spiral computed tomography (CT) screening for pulmonary ground-glass opacity (GGO) nodules. Methods: From October 2023 to April 2024, 66 medical imaging students were selected and randomly divided into a control group and an observation group, each with 33 students. The control group received traditional lecture-based teaching, while the observation group was taught using a multi-modal teaching approach based on an online case library. Performance on assessments and teaching quality were analyzed between the two groups. Results: The observation group achieved higher scores in theoretical and practical knowledge compared to the control group (P &lt; 0.05). Additionally, the teaching quality scores were significantly higher in the observation group (P &lt; 0.05). Conclusion: Implementing multi-modal teaching based on an online case library for pulmonary GGO nodule screening with gene methylation combined with spiral CT can enhance students’ knowledge acquisition, improve teaching quality, and have significant clinical application value.

Assessing Medical Imaging Students’ Knowledge of Radiation Protection and Curriculum Coverage in Palestinian Universities

The understanding of radiation protection among workers in radiography fields can significantly influence their conduct during work, thus affecting the standard of medical care. This research examines the knowledge of Ionized Radiation Protection (IRP) among medical imaging students in Palestine and evaluates the coverage of radiation protection topics in their study curriculum. A cross-sectional study was conducted involving medical imaging students from four Palestinian universities. 128 students participated by completing a well-designed questionnaire. The study sample comprised masters, fourth-year, and third-year bachelor's students from medical imaging departments at Palestinian universities, with a response rate of 91.4%. The participants exhibited adequate overall knowledge regarding radiation protection safety, with a mean score of 3.49. However, their understanding of modern imaging procedures was found to be unsatisfactory. Many participants expressed the belief that the level of radiation protection education they received was insufficient. Additionally, most Palestinian medical imaging students reported that their university curriculum lacked coverage of modern radiography topics such as PET scan, fluoroscopy, and nuclear medicine, with mean perception scores of 2.61, 2.69, and 2.81, respectively. Students at lower educational levels demonstrated lower levels of knowledge about IRP. Lack of specialized knowledge between medical imaging students regarding IRP could adversely affect their future professional requirements. Therefore, it is crucial for decision-makers in Palestinian universities and the health sector to develop new strategies aimed at enhancing awareness and knowledge of IRP through targeted training programs. Further research expanding on this study is recommended to explore these issues in greater depth.

Sleep Patterns and Awareness in Medical Imaging Students Using Wearable Technology

Purpose This study explores the relationship between sleep quality and fatigue in medical imaging students using biometric devices. It examines the impact that objectively measuring and discussing sleep data has on students’ understanding and appreciation of the role of sleep in their academic and professional practices. Design The study adopts a case-based approach, with participants engaging in open collaborative discussions and personal investigation of their sleep data. Biometric devices were used to record sleep data over the course of one semester. Findings Results show that while all students recognised the importance of sleep, they had very little knowledge about sleep patterns, the effects of sleep on performance and memory, or sleep consistency. However, students engaged with their data and showed interest in learning more about sleep. As the study progressed, participants moved away from discussing sleep duration and focused more on the impact of sleep types on patterns of sleep quality. Some students used this newfound knowledge to try and change their sleep behaviours and optimize their performance, while others struggled to change their habits. Implications Overall, this study highlights the need for a more comprehensive approach to sleep education and the potential for personal analytics to facilitate understanding and behaviour change.

Artificial intelligence-based graded training of pulmonary nodules for junior radiology residents and medical imaging students

BackgroundTo evaluate the efficiency of artificial intelligence (AI)-assisted diagnosis system in the pulmonary nodule detection and diagnosis training of junior radiology residents and medical imaging students.MethodsThe participants were divided into three groups. Medical imaging students of Grade 2020 in the Jinzhou Medical University were randomly divided into Groups 1 and 2; Group 3 comprised junior radiology residents. Group 1 used the traditional case-based teaching mode; Groups 2 and 3 used the ‘AI intelligent assisted diagnosis system’ teaching mode. All participants performed localisation, grading and qualitative diagnosed of 1,057 lung nodules in 420 cases for seven rounds of testing after training. The sensitivity and number of false positive nodules in different densities (solid, pure ground glass, mixed ground glass and calcification), sizes (less than 5 mm, 5–10 mm and over 10 mm) and positions (subpleural, peripheral and central) of the pulmonary nodules in the three groups were detected. The pathological results and diagnostic opinions of radiologists formed the criteria. The detection rate, diagnostic compliance rate, false positive number/case, and kappa scores of the three groups were compared.ResultsThere was no statistical difference in baseline test scores between Groups 1 and 2, and there were statistical differences with Group 3 (P = 0.036 and 0.011). The detection rate of solid, pure ground glass and calcified nodules; small-, medium-, and large-diameter nodules; and peripheral nodules were significantly different among the three groups (P<0.05). After seven rounds of training, the diagnostic compliance rate increased in all three groups, with the largest increase in Group 2. The average kappa score increased from 0.508 to 0.704. The average kappa score for Rounds 1–4 and 5–7 were 0.595 and 0.714, respectively. The average kappa scores of Groups 1,2 and 3 increased from 0.478 to 0.658, 0.417 to 0.757, and 0.638 to 0.791, respectively.ConclusionThe AI assisted diagnosis system is a valuable tool for training junior radiology residents and medical imaging students to perform pulmonary nodules detection and diagnosis.

Assessment of the Patient's Attitude toward Medical Imaging Students during the Clerkship Rotation in Radiology Departments

Assessment of the Patient's Attitude toward Medical Imaging Students during the Clerkship Rotation in Radiology Departments

Knowledge, Attitude and Practice of Infection Control among Medical Imaging Students in Unisza

Healthcare-associated infections risk in health care settings has caused a great concern to medical imaging students during clinical attachment due to high interaction rate with patients. Students may spread infections through inadequate knowledge and poor practice, which may then degrade the standard of care. Preventive measures and infection control policies have been developed to prevent the spread of infections, lower morbidity and medical care costs. However, recent evidence revealed poor level of health science students’ knowledge regarding infection control. This cross-sectional survey-based study is aimed to determine level of knowledge, attitude and practice towards infection control. This study is also aimed to determine the association between knowledge, attitude, and practice level of infection control and standard precautions among uniSZA medical imaging students. The sampling method used was purposive sampling. An online questionnaire was distributed using social media platforms, Whatsapp from 21th March to 22th April 2023. The questionnaire consists of 12 items on knowledge, 7 items on attitude and 10 items on practice about infection control. A total of 136 medical imaging students participated in this study, 98 Bachelor’s degree students and 38 Diploma students. Overall knowledge, attitude and practice level among students were good. The percentage of respondents had good knowledge, positive attitude and good practice were 100% (n=136), 100% (n=136) and 98.5% (n=134) respectively. Fisher’s exact test shows there was no association between attitude level and practice level of infection control among respondents (p =1.00). Continuous infection control training and education program are still required to enhance awareness of standard precautions and thus reduce infection exposure. Future recommendations are to include all health science students and medical students to participate in the survey. Further studies to assess the extent of public knowledge regarding infection control may also be conducted.

Impact of the COVID-19 Pandemic on Radiography Education from the Perspectives of Students: A Survey on Medical Imaging Students UniSZA

The Covid-19 pandemic has caused many changes in the norms of daily life and affected various fields as well as industries. One of the areas affected by this epidemic is education. Due to the limitation of physical meetings, while avoiding the spread of the virus, learning and teaching activities have changed from physical learning to online learning. Radiography education is also affected where students have to learn theoretical and practical courses virtually. Radiography education involves learning to position patients and operate medical imaging equipment, so it's challenging to learn online. Therefore, this study was conducted to see the impact of the pandemic on radiography education from the students' perspective. The survey was performed among UniSZA medical imaging students who have undergone theoretical learning and clinical training within the period from March 2020 to March 2022. The survey was done by distributing an online questionnaire through Google Forms. The questionnaire consists of four parts; demographic, perspective on theoretical learning during the pandemic, perspective on clinical training during the pandemic and challenges experienced in online/virtual learning. A total of 55 students participated in this study and the responses were analyzed using descriptive statistics. The result shows the majority of the students (54.55%) agree that learning basic radiography subjects through online learning during a pandemic is hard to focus on. From the perspective of clinical training during the pandemic period, the majority of students (56.63%) worried about being infected with the Covid-19 virus as this could interrupt the clinical training sessions. The majority of the students (41.82%) experienced difficulty with internet connectivity and inadequate time for online discussion during the online learning within the pandemic period. In conclusion, the Covid-19 pandemic has highly impacted learning activities for medical imaging students at UniSZA.

A step to the practice: a hybrid approach in teaching anatomy to medical imaging students

Anatomy is a three-dimensional subject that needs threedimensional visualizations and traditional learning methods". It has proved that three-dimensional visualization is more effective for gaining anatomical knowledge than traditional methods. In addition, students are motivated and interested in using visualization tools to learn anatomical structures, e.g. ultrasound and cross-section anatomical models. Students also know that a good understanding of anatomical knowledge of the human body is fundamental in clinical practice, particularly in radiology and surgery. We believe that medical imaging students require the highest priority in learning anatomy among healthcare learners, as competent and efficient radiographers should have a comprehensive knowledge of anatomy. To increase their clinical capabilities, students must learn to read, examine and comprehend CT and MRI images during their clinical blocks by practising cross-sectional models and radiologic anatomy in the academic block.

Medical Imaging Student's Assessment on Radiation Protection in Clinical Training

This study evaluates pre- and post-clinical training radiation protection awareness and knowledge among medical imaging students. A cross-sectional study of 120 medical imaging students from Malaysian public universities was undertaken. The survey is based on the developed Healthcare Professional Knowledge of Radiation Protection (HPKRP) scale. There was a significant difference between the pre and post-clinical training students in their awareness of radiation protection but no difference in other radiological knowledge. Therefore, clinical training remained a fundamental component of medical imaging education for students to gain the skills and understanding of appropriate radiation protection procedures.

Assessing the Level of Understanding (Knowledge) and Awareness of Diagnostic Imaging Students in Ghana on Artificial Intelligence and Its Applications in Medical Imaging

Introduction Recent advancements in technology have propelled the applications of artificial intelligence (AI) in various sectors, including healthcare. Medical imaging has benefited from AI by reducing radiation risks through algorithms used in examinations, referral protocols, and scan justification. This research work assessed the level of knowledge and awareness of 225 second- to fourth-year medical imaging students from public universities in Ghana about AI and its prospects in medical imaging. Methods This was a cross-sectional quantitative study design that used a closed-ended questionnaire with dichotomous questions, designed on Google Forms, and distributed to students through their various class WhatsApp platforms. Responses were entered into an Excel spreadsheet and analyzed with the Statistical Package for the Social Sciences (SPSS) software version 25.0 and Microsoft Excel 2016 version. Results The response rate was 80.44% (181/225), out of which 97 (53.6%) were male, 82 (45.3%) were female, and 2 (1.1%) preferred not to disclose their gender. Among these, 133 (73.5%) knew that AI had been incorporated into current imaging modalities, and 143 (79.0%) were aware of AI's emergence in medical imaging. However, only 97 (53.6%) were aware of the gradual emergence of AI in the radiography industry in Ghana. Furthermore, 160 people (88.4%) expressed an interest in learning more about AI and its applications in medical imaging. Less than one-third (32%) knew about the general basic application of AI in patient positioning and protocol selection. And nearly two-thirds (65%) either felt threatened or unsure about their job security due to the incorporation of AI technology in medical imaging equipment. Less than half (38% and 43%) of the participants acknowledged that current clinical internships helped them appreciate the role of AI in medical imaging or increase their level of knowledge in AI, respectively. Discussion. Generally, the findings indicate that medical imaging students have fair knowledge about AI and its prospects in medical imaging but lack in-depth knowledge. However, they lacked the requisite awareness of AI's emergence in radiography practice in Ghana. They also showed a lack of knowledge of some general basic applications of AI in modern imaging equipment. Additionally, they showed some level of misconception about the role AI plays in the job of the radiographer. Conclusion Decision-makers should implement educational policies that integrate AI education into the current medical imaging curriculum to prepare students for the future. Students should also be practically exposed to the various incorporations of AI technology in current medical imaging equipment.

Evaluation of Readiness and Attitude towards e-Learning among Newly Enrolled Medical Imaging Students

Electronic learning (e-learning) has become an integral part of education in line with the rapid advancement of technology. The recent outbreak of COVID-19 had caused the educational institution to shift from traditional learning to e-learning to ensure continuation of learning activities. This shift in learning approach may affect the students’ performance if they were not prepared to embrace the changes especially for the newly enrolled students. Therefore, this study was conducted to evaluate the readiness and attitude of newly enrolled, undergraduate medical imaging (MI) students toward e-learning during COVID-19 pandemic. A total of 81 newly-enrolled, undergraduate MI students participated in this study. Information on socio-demographic factors, attitude and readiness on e-learning were acquired using an online self-administered questionnaire. Data collected were analyzed using the Statistical Package for Social Sciences (SPSS) Version 25.0. Majority of the newly enrolled MI students have average readiness (61%, n = 49) and less positive attitude (61%, n = 49) towards e-learning. Age, gender and internet connectivity were found to be correlated with student’s readiness. Furthermore, there is significantly positive, very strong correlation between readiness and attitude toward e-learning (p < 0.05, v = 0.359). The result of this study, in summary, is that newly enrolled, undergraduate students had an average readiness and less positive attitude.

The Level of Emotional Intelligence in Medical Imaging Students

Introduction: Emotional intelligence (EI) is a crucial skill that aids students on how to cope with challenging nature of the academic. Emotionally intelligent persons are emotionally, spiritually, intellectually, and physically balanced. This study is aimed to evaluate the average level of EI in medical imaging students whether it is significantly different from the EI value set at 2.5 (high level of emotional intelligence). Methods: This cross-sectional study used the adopted Emotional Intelligence Scale (EIS) questionnaire. Purposive sampling method was conducted on 89 medical imaging students. The data was analyzed using SPSS version 26. One sample T-test and Pearson correlation test were conducted with the significant p-values were set at &lt;0.05. Results: : The results showed that the medical imaging students’ EI overall mean score was 3.84 (SD:0.38) with p-value of &lt;0.001. There were also significant p-values of &lt;0.001 for all 10 sub-dimensions of EIS. However, there is no significant correlation was found between level of emotional intelligence and year of study of the respondents 0.69 (r-value:-0.043). Significant high level of EI in medical imaging students could plausibly cause the students to have the ability to perceive themselves as efficient, enthusiastic, cheerful, satisfied, and always tend to stay optimistic in life, have greater self-control, able to endure pressure and manage tension, and are conscientious. Conclusion: High emotional intelligence students were predicted to be more poised for success in the future healthcare professions and industries.

Implications of COVID-19 on the Teaching and Learning of Undergraduate Medical Imaging Students.

To preserve public health and prevent the spread of COVID-19, academic institutions curtailed face-to-face instruction and learning after the outbreak. The traditional techniques for education were modified, and new ways of instructing students were implemented. It presented a number of difficulties for the educational system, particularly for universities offering healthcare education. Therefore, the aim of this research was to look into how COVID-19 affected the teaching and learning of undergraduate medical imaging students. The ScienceDirect, Oxford University Press Journals, Cambridge University Press Journals, and Taylor & Francis Online databases were searched, and a total of 14 papers met the inclusion and exclusion criteria and were selected for further analysis. The literature was analyzed using a thematic approach, with recurring themes brought to light. The effects of COVID-19 on medical imaging education includebut are not limited to the more rapid adoption of online education and new approaches to assessing and guiding students. Online teaching for medical imaging students influenced their learning environment, interaction, and motivation. The new COVID-19 safety requirements and procedures in hospitals have profoundly impacted clinical practice. Additionally, students' research activities were also affected. We anticipate that the findings of this study will enable us to be better equipped to assist students in comparable circumstances in the future.

Alternative Digital Credentials: UAE’s First Adopters’ Design, Development, and Implementation Part (1)

The global skills gap and lack of a verified volunteering capacity for pandemics and catastrophes, amongst other factors, have compelled higher education to consider validated alternative credentials. However, alternative credentials are in the infancy stage, so universities are tailoring frameworks and curricula in the absence of a global standardization. Recently, calls to develop “soft”/non-technical skills like empathy among healthcare students are increasing. However, the current healthcare non-technical skills curricula do not account for the clinical aspects as they have originated from aviation programs adopted since the 1970s after high-profile plane crashes were mainly attributed to errors in non-technical skills. The aim of this paper is to address all these gaps by performing curriculum analysis, design, development, and implementation to lay the foundation for subsequent research to evaluate the outcomes. The developed curriculum was offered in an alternative credential format for a pilot group of seven undergraduate medical imaging students. This paper describes the development and implementation of five pedagogical interventions, and the subsequent paper shall review seven assessment and evaluation tools and requirements related to competency within entrustable medical imaging professional tasks. This paper is unique as we are unaware of any publications on deployed or awarded alternative credentials combining technical and non-technical skills within entrustable professional tasks. As such, the work presented can provide educators with practical curriculum development approaches to address the educational paradigm shifts.

Sleep Deprivation and Study Habits Effects toward Medical Imaging Students, UiTM Puncak Alam

This study aimed to investigate the effects of sleep deprivation and study habits during online distance learning (ODL) among students. The objective of this study is to evaluate the relationship between sleep deprivation and study habits with academic performance among students during ODL. A cross-sectional survey is used through an online platform. The questionnaire was distributed to 191 students in Medical Imaging course. The data being analyzed using SPSS software version 26. Most students had poor sleep (n=130, 68.1%) and poor study habits (n=136, 71.2%). There is no significant correlation between sleep deprivation (X2=0.31, df=2, p=0.855) and study habits (X2=1.26, df=2, p=0.533) on student's academic performance.