Aondona David Daniel, Akwaras Nndunno Asheku, Yohanna Stephen, Gyuse Ngueikyor Abraham, De-Kaa Niongun Lawrence Paul, Laadi Terrumun Swende, Ornguga Bamidele Ohiozoje, Grace Nwunuji Rimamnunra, Ngbede Matthew Ocheifa
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引用次数: 0
Abstract
Background: Artificial intelligence (AI) is the simulation of human intelligence processes by machines, especially computer systems. AI technology has wide applications in biomedicine and has real practical benefits in many medical applications. The aim was to assess the knowledge, practice, perception, and expectations about AI technology among staff of Federal Medical Centre Makurdi Benue state, Nigeria.
Methods: This was a descriptive cross-sectional study over a period of three months from March to May 2023. The respondents were 18 years and above. The questionnaire was self-administered employing convenience sampling method to recruit responders. Data analysis was done using SPSS version 20.
Result: A total of 384 respondents were recruited. The mean (SD) age of the respondents was 42.3(±11.1). Most were aged 41-50 (34.4%). There were more females (56% (215)). Most of the respondents (69% (264)) attested to knowing AI technology. However, the majority (87% (231)) of the 264 respondents who knew about AI technology did not have in-depth knowledge. Regarding practices, more than half of the respondents (55.3%) did not think AI makes their task easy. The majority of the respondents (90.3%) believed AI technology is essential in the medical field and most of the respondents (12.2%) were expecting to acquire AI technology skills in the future.
Conclusion: The in-depth knowledge of AI technology was low. Most of the staff thought that AI technology did not make their task easy although they believe AI is essential in medical field and they expect the acquisition of more skills on AI technology in future.
背景:人工智能(AI)是机器,特别是计算机系统对人类智能过程的模拟。人工智能技术在生物医学领域有着广泛的应用,在许多医学应用中都有着实实在在的实际效益。目的是评估尼日利亚马库尔迪贝努埃州联邦医疗中心工作人员对人工智能技术的知识、实践、认知和期望。方法:这是一项描述性横断面研究,为期三个月,从2023年3月到5月。受访者年龄在18岁及以上。问卷采用自填法,采用方便抽样法招募应答者。数据分析使用SPSS version 20。结果:共招募到384名受访者。受访者的平均(SD)年龄为42.3岁(±11.1岁)。年龄以41 ~ 50岁居多(34.4%)。女性更多(56%(215))。大多数受访者(69%(264人))证实了解人工智能技术。然而,在264名了解人工智能技术的受访者中,大多数(87%(231))并没有深入的了解。在实践方面,超过一半的受访者(55.3%)认为人工智能不会让他们的工作变得容易。大多数受访者(90.3%)认为人工智能技术在医疗领域至关重要,大多数受访者(12.2%)期望在未来获得人工智能技术技能。结论:受访学生对人工智能技术的了解程度较低。大多数员工认为人工智能技术并没有使他们的工作变得容易,尽管他们认为人工智能在医疗领域是必不可少的,他们希望在未来获得更多的人工智能技术技能。
期刊介绍:
Ethiopian Journal of Health Sciences is a general health science journal addressing clinical medicine, public health and biomedical sciences. Rarely, it covers veterinary medicine