Radiology and artificial intelligence: An opportunity for our specialty

Bérégi, J.P.; Zins, Marc; Cart, P.; Bartoli, J-M; Silberman, Blossom; Boudghène, F.; Meder, J.-F.

doi:10.1016/j.diii.2018.11.002

Cited by 27 publications

(17 citation statements)

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“…Studies have identified the benefits of applying AI technologies to big data problems and the significant value of analytic insight and predictive capability for a number of scenarios (Rubik & Jabs, 2018). Health related studies that have analysed the impact and contribution of big data and AI arguing that these technologies can greatly support patient health based diagnosis and predictive capability (Beregi et al, 2018;Schulz & Nakamoto, 2013). Big Data Analytics (BDA) develops the methodological analysis of large data structures, often categorised under the terms: volume, velocity, variety, veracity and value adding.…”

Section: Data and Informationmentioning

confidence: 99%

Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy

Dwivedi

Hughes

Ismagilova

et al. 2021

International Journal of Information Management

1,586

986

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As far back as the industrial revolution, significant development in technical innovation has succeeded in transforming numerous manual tasks and processes that had been in existence for decades where humans had reached the limits of physical capacity. Artificial Intelligence (AI) offers this same transformative potential for the augmentation and potential replacement of human tasks and activities within a wide range of industrial, intellectual and social applications. The pace of change for this new AI technological age is staggering, with new breakthroughs in algorithmic machine learning and autonomous decision-making, engendering new opportunities for continued innovation. The impact of AI could be significant, with industries ranging from: finance, healthcare, manufacturing, retail, supply chain, logistics and utilities, all potentially disrupted by the onset of AI technologies. The study brings together the collective insight from a number of leading expert contributors to highlight the significant opportunities, realistic assessment of impact, challenges and potential research agenda posed by the rapid emergence of AI within a number of domains: business and management, government, public sector, and science and technology. This research offers significant and timely insight to AI technology and its impact on the future of industry and society in general, whilst recognising the societal and industrial influence on pace and direction of AI development.

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Section: Data and Informationmentioning

confidence: 99%

Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy

Dwivedi

Hughes

Ismagilova

et al. 2021

International Journal of Information Management

1,586

986

View full text Add to dashboard Cite

show abstract

“…AI can be used in healthcare for risk prediction and recommendation generation. Big data and AI significantly improve patient health based diagnosis and predictive capability [53]. Recent studies show new opportunities for AI applications within medical diagnosis and pathology where medical tasks can be done automatedly with higher speed and accuracy [52].…”

Section: Perceived Benefitsmentioning

confidence: 99%

Use of AI-based tools for healthcare purposes: a survey study from consumers’ perspectives

Esmaeilzadeh

2020

BMC Med Inform Decis Mak

231

144

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Background Several studies highlight the effects of artificial intelligence (AI) systems on healthcare delivery. AI-based tools may improve prognosis, diagnostics, and care planning. It is believed that AI will be an integral part of healthcare services in the near future and will be incorporated into several aspects of clinical care. Thus, many technology companies and governmental projects have invested in producing AI-based clinical tools and medical applications. Patients can be one of the most important beneficiaries and users of AI-based applications whose perceptions may affect the widespread use of AI-based tools. Patients should be ensured that they will not be harmed by AI-based devices, and instead, they will be benefited by using AI technology for healthcare purposes. Although AI can enhance healthcare outcomes, possible dimensions of concerns and risks should be addressed before its integration with routine clinical care. Methods We develop a model mainly based on value perceptions due to the specificity of the healthcare field. This study aims at examining the perceived benefits and risks of AI medical devices with clinical decision support (CDS) features from consumers’ perspectives. We use an online survey to collect data from 307 individuals in the United States. Results The proposed model identifies the sources of motivation and pressure for patients in the development of AI-based devices. The results show that technological, ethical (trust factors), and regulatory concerns significantly contribute to the perceived risks of using AI applications in healthcare. Of the three categories, technological concerns (i.e., performance and communication feature) are found to be the most significant predictors of risk beliefs. Conclusions This study sheds more light on factors affecting perceived risks and proposes some recommendations on how to practically reduce these concerns. The findings of this study provide implications for research and practice in the area of AI-based CDS. Regulatory agencies, in cooperation with healthcare institutions, should establish normative standard and evaluation guidelines for the implementation and use of AI in healthcare. Regular audits and ongoing monitoring and reporting systems can be used to continuously evaluate the safety, quality, transparency, and ethical factors of AI-based services.

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“…29,30 Many experts have stated their views on the future of radiology following the emergence of AI, 31,32 and white papers published by radiological societies and promoting views on this. 33,34 Studies have shown that medical students are not concerned and afraid of being replaced by AI, 35 but the anxiety associated with the "displacement" demotivated some students from taking a specialty into account. 36 There are both good and pessimistic perspectives on how AI will affect daily human life.…”

Section: Introductionmentioning

confidence: 99%

Attitudes and perceptions of dental students towards artificial intelligence

Yüzbaşıoğlu

2020

Journal of Dental Education

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IntroductionArtificial Intelligence (AI) is a burning topic and use of AI in our day‐to‐day life has increased exponentially. The purpose of this study was to evaluate the attitudes and perceptions of Turkish dental students towards AI and to provide information about their opinions to use of AI in dentistry.MethodsA 22‐question survey was distributed through Google Forms to all dental students at 9 Turkish dental schools in March 2019. It consisted of various sections aiming to evaluate the dental students’ knowledge and attitudes toward AI and possible applications in dentistry. Respondents’ anonymity was ensured.ResultsA total of 1103 students (650 female, 453 male; mean age was 21.36 ± 1.93 years) responded to the questionnaire for a 21.69% response rate. Of these, about 48.40% had basic knowledge about AI technologies and 10.6% stated that they had no information sources about AI. 85.70% agreed that dentistry would be revolutionized by AI but 28.60% did not agree that AI could replace themselves in the near future. In addition, 74.60% and 79.80% of agreed on topics about AI to be included in undergraduate and postgraduate dental education, respectively.ConclusionsAlthough participants have insufficient knowledge of AI, they are willing to improve their knowledge in this field. Participants shared an optimistic views and thought that AI will have a positive impact on dental future practice. Follow‐up surveys and multinational studies should be conducted to further explore these issues.

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Radiology and artificial intelligence: An opportunity for our specialty

Cited by 27 publications

References 0 publications

Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy

Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy

Use of AI-based tools for healthcare purposes: a survey study from consumers’ perspectives

Attitudes and perceptions of dental students towards artificial intelligence

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