ABSTRACT
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.
ABSTRACT
Ultrasound scans have become an essential requirement of pregnancy care in countries with developed health services and increasingly being used in medical practice in Ghana as well. The aim of this study was to find out the perception of primigravidas experiencing antenatal ultrasonography for the first time in Cape Coast. This was a descriptive, prospective study which employed the use of a questionnaire to obtain data from 384 consented respondents, who were primigravidas experiencing antenatal ultrasonography for the first time in three selected public health facilities in Cape Coast Metropolis over a six-month period. Sociodemographic data, reasons for undergoing antenatal ultrasound, their expectations, knowledge in fetal abnormalities, and suggestions to help improve their future experiences were collected. The data were analyzed using SPSS software, version 20.0 (SPSS Inc., Chicago, IL, USA). Out of a total number of 384 respondents, 87.8% of them knew about what ultrasound is used for. 87.5% scanned because a doctor or midwife requested for the scan whilst 53.9% scanned to check for fetal abnormalities. 98.4% indicated that ultrasound scanning has positive effects on pregnancy outcome. An expensive service was stated as a negative reason that would influence the decision to undergo the examination next time; nonetheless, 90.4% would recommend it to other women and suggested showing the fetus on monitor while scanning and providing accurate findings would make their future experiences better. The perception of the primigravidas was largely positive. Checking for fetal abnormalities was a major reason for the scans, although their knowledge in specific fetal abnormalities was low. They expected to know the fetal sex, but that was not a major reason for scanning. Showing them the monitor was the most frequent suggestion to make future experience better.
