Artificial Intelligence: Its future in the health sector and its role for medical education

Henning, Peter A.; Henning, Jacqueline; Glück, Katharina

doi:10.1080/21614083.2021.2014099

Cited by 5 publications

(2 citation statements)

References 18 publications

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“…The development of modern AI technologies will greatly affect the education and training of people in all professions related to knowledge. Therefore, already at the beginning of the second decade of the 21st century, attention was paid to the possible applications of AI in medical education (Henning et al, 2021).…”

Section: Artificial Intelligence In the 21st Centurymentioning

confidence: 99%

The state of development of artificial intelligence in polish industry: opinions of employees

Kądzielawski

2022

International Journal of Contemporary Management

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Purpose The purpose of the article is to show how employees of industrial organizations perceive the development of artificial intelligence (AI) within them and to gather their opinions on what AI solutions are most commonly used in Polish industry. The literature review pointed to the lack of knowledge on how employees of Polish industrial companies perceive the development of AI in their respective companies and what AI solutions they already use. Design/methodology/approach Literature review and surveys were used to collect the data. The study was carried out using a survey questionnaire. The sample was taken with a specific aim in mind: first, 30 entities were selected for that purpose, while in the second stage the employees (managers and specialists) were chosen from among those. Findings In most cases, employees are not afraid of losing their jobs due to the development of AI systems in their industries. They are positive about the use of solutions that include AI elements. In the opinion of the vast majority of respondents, modern technologies, including AI, help them in their work and facilitate it. Most popular current industrial applications are: robotic process automation technologies, Cognex cameras using neural networks, machine-learning and data technologies, distributed control systems (DSCs), enterprise resource planning (ERP)) systems, and security information and event management (SIEM) systems. Practical implication-Results of this research can be useful for developing programs aimed at reducing the fear and anxiety associated with the ongoing Industrial Revolution. Originality/value The presented research results are the only ones that show the opinions of employees regarding artificial intelligence in Polish organizations.

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Section: Artificial Intelligence In the 21st Centurymentioning

confidence: 99%

The state of development of artificial intelligence in polish industry: opinions of employees

Kądzielawski

2022

International Journal of Contemporary Management

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“…It is increasingly being implemented in clinical service delivery in medical imaging and other healthcare sectors during the last decade, with an exponential increase in the last 4 years [ 2 ]. This accelerated implementation has been facilitated by, among other factors, faster processing speeds of servers, the availability of “big data” to train, test and validate AI algorithmic models and our increasing understanding of human brain learning processes, which now underpin the implementation of neural networks in deep learning applications [ 3 , 4 ].…”

Section: Introductionmentioning

confidence: 99%

Artificial intelligence education for radiographers, an evaluation of a UK postgraduate educational intervention using participatory action research: a pilot study

et al. 2023

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Background Artificial intelligence (AI)-enabled applications are increasingly being used in providing healthcare services, such as medical imaging support. Sufficient and appropriate education for medical imaging professionals is required for successful AI adoption. Although, currently, there are AI training programmes for radiologists, formal AI education for radiographers is lacking. Therefore, this study aimed to evaluate and discuss a postgraduate-level module on AI developed in the UK for radiographers. Methodology A participatory action research methodology was applied, with participants recruited from the first cohort of students enrolled in this module and faculty members. Data were collected using online, semi-structured, individual interviews and focus group discussions. Textual data were processed using data-driven thematic analysis. Results Seven students and six faculty members participated in this evaluation. Results can be summarised in the following four themes: a. participants’ professional and educational backgrounds influenced their experiences, b. participants found the learning experience meaningful concerning module design, organisation, and pedagogical approaches, c. some module design and delivery aspects were identified as barriers to learning, and d. participants suggested how the ideal AI course could look like based on their experiences. Conclusions The findings of our work show that an AI module can assist educators/academics in developing similar AI education provisions for radiographers and other medical imaging and radiation sciences professionals. A blended learning delivery format, combined with customisable and contextualised content, using an interprofessional faculty approach is recommended for future similar courses.

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Education of health providers on precision medicine

Hulick,

Ilbawi

2024

Comprehensive Precision Medicine

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Artificial Intelligence: Its future in the health sector and its role for medical education

Cited by 5 publications

References 18 publications

The state of development of artificial intelligence in polish industry: opinions of employees

The state of development of artificial intelligence in polish industry: opinions of employees

Artificial intelligence education for radiographers, an evaluation of a UK postgraduate educational intervention using participatory action research: a pilot study

Education of health providers on precision medicine

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