scholarly journals AI MSK clinical applications: spine imaging

Author(s):  
Florian A. Huber ◽  
Roman Guggenberger

AbstractRecent investigations have focused on the clinical application of artificial intelligence (AI) for tasks specifically addressing the musculoskeletal imaging routine. Several AI applications have been dedicated to optimizing the radiology value chain in spine imaging, independent from modality or specific application. This review aims to summarize the status quo and future perspective regarding utilization of AI for spine imaging. First, the basics of AI concepts are clarified. Second, the different tasks and use cases for AI applications in spine imaging are discussed and illustrated by examples. Finally, the authors of this review present their personal perception of AI in daily imaging and discuss future chances and challenges that come along with AI-based solutions.

AI & Society ◽  
2021 ◽  
Author(s):  
Milad Mirbabaie ◽  
Lennart Hofeditz ◽  
Nicholas R. J. Frick ◽  
Stefan Stieglitz

AbstractThe application of artificial intelligence (AI) in hospitals yields many advantages but also confronts healthcare with ethical questions and challenges. While various disciplines have conducted specific research on the ethical considerations of AI in hospitals, the literature still requires a holistic overview. By conducting a systematic discourse approach highlighted by expert interviews with healthcare specialists, we identified the status quo of interdisciplinary research in academia on ethical considerations and dimensions of AI in hospitals. We found 15 fundamental manuscripts by constructing a citation network for the ethical discourse, and we extracted actionable principles and their relationships. We provide an agenda to guide academia, framed under the principles of biomedical ethics. We provide an understanding of the current ethical discourse of AI in clinical environments, identify where further research is pressingly needed, and discuss additional research questions that should be addressed. We also guide practitioners to acknowledge AI-related benefits in hospitals and to understand the related ethical concerns.


2017 ◽  
Vol 3 (5) ◽  
pp. 204 ◽  
Author(s):  
Sabine D. Brookman-May ◽  
Oscar Rodriguez-Faba ◽  
Johan F. Langenhuijsen ◽  
Bulent Akdogan ◽  
Estefania Linares ◽  
...  

<p>It was estimated that in 2012, 57% of the incidence and 65% of cancer deaths have occurred in developing countries, and in the future, the incidence of cancer-related mortality is even expected to rise significantly in these countries. Despite this alarming data, there are still significant disparities in access to cancer care and cancer control between developing nations and higher income countries. There are several hurdles for cancer patients in developing countries which impair adequate treatment, including very little access to programs of cancer prevention and screening measures, early diagnosis and adequate surgical and medical tumor treatment. In this review article, we provide a short assessment and breakdown of the main barriers for proper cancer treatment admission and provide a perspective on potential approached and solutions to enhance cancer research and care in developing countries.  </p>


Author(s):  
Cigdem Elikci

This chapter aims to highlight the changes that journalism in Austria should expect. The authors analyse the data collected on Austrians' habits of consuming news through intelligent virtual assistants (IVAs). Furthermore, the importance and potential of the devices run by artificial intelligence (AI), such as IVAs and natural language generation software, are highlighted. The status quo and Austrian journalists' knowledge about IVAs and their predictions about the attitude of citizens towards those devices are outlined. AI in journalism industry is not only discussed as an assistant to ease the workflow of journalists in Austria; it is also represented as a potential threat which creates filter bubbles due to personalized news consumption through IVAs.


2019 ◽  
Vol 15 (2) ◽  
pp. 126-139 ◽  
Author(s):  
Vincent Chiao

AbstractOver the last few years, legal scholars, policy-makers, activists and others have generated a vast and rapidly expanding literature concerning the ethical ramifications of using artificial intelligence, machine learning, big data and predictive software in criminal justice contexts. These concerns can be clustered under the headings of fairness, accountability and transparency. First, can we trust technology to be fair, especially given that the data on which the technology is based are biased in various ways? Second, whom can we blame if the technology goes wrong, as it inevitably will on occasion? Finally, does it matter if we do not know how an algorithm works or, relatedly, cannot understand how it reached its decision? I argue that, while these are serious concerns, they are not irresolvable. More importantly, the very same concerns of fairness, accountability and transparency apply, with even greater urgency, to existing modes of decision-making in criminal justice. The question, hence, is comparative: can algorithmic modes of decision-making improve upon the status quo in criminal justice? There is unlikely to be a categorical answer to this question, although there are some reasons for cautious optimism.


Metabolites ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. 219
Author(s):  
Michael Vaeggemose ◽  
Rolf F. Schulte ◽  
Christoffer Laustsen

This review provides a comprehensive assessment of the development of hyperpolarized (HP) carbon-13 metabolic MRI from the early days to the present with a focus on clinical applications. The status and upcoming challenges of translating HP carbon-13 into clinical application are reviewed, along with the complexity, technical advancements, and future directions. The road to clinical application is discussed regarding clinical needs and technological advancements, highlighting the most recent successes of metabolic imaging with hyperpolarized carbon-13 MRI. Given the current state of hyperpolarized carbon-13 MRI, the conclusion of this review is that the workflow for hyperpolarized carbon-13 MRI is the limiting factor.


2021 ◽  
Vol 27 (4) ◽  
pp. 146045822110523
Author(s):  
Nicholas RJ Möllmann ◽  
Milad Mirbabaie ◽  
Stefan Stieglitz

The application of artificial intelligence (AI) not only yields in advantages for healthcare but raises several ethical questions. Extant research on ethical considerations of AI in digital health is quite sparse and a holistic overview is lacking. A systematic literature review searching across 853 peer-reviewed journals and conferences yielded in 50 relevant articles categorized in five major ethical principles: beneficence, non-maleficence, autonomy, justice, and explicability. The ethical landscape of AI in digital health is portrayed including a snapshot guiding future development. The status quo highlights potential areas with little empirical but required research. Less explored areas with remaining ethical questions are validated and guide scholars’ efforts by outlining an overview of addressed ethical principles and intensity of studies including correlations. Practitioners understand novel questions AI raises eventually leading to properly regulated implementations and further comprehend that society is on its way from supporting technologies to autonomous decision-making systems.


2021 ◽  
Vol 16 (2) ◽  
pp. 87
Author(s):  
Belinda Azzahra

ABSTRACT Accountants has significant role to achieve corporate sustainability. However, with the advancement of technology, the existence of accountants starts to be questioned. According to a survey conducted by Osborne and Frey in 2013, University of Oxford, accountants has 94% chances to be replaced in the future. Based on these data, accountants are now entering the new era of disruption, which is provable by the existence of artificial intelligence. The future of business and accountants are entering grey area and sustainability is the most vital things to be discussed for now. To challenge the status quo, it is demanded for research about the role of accountant as value driver in digital era. In the future, young accountants must act as catalysts of value for business to ensure that every stakeholder get benefit. Therefore, at least there are five strategies that accountants could prepare, which are: understanding of business acumen, technological savvy, storytelling skill, fundamental data skill, and strategic thinking skill. I believe with these five strategies, accountants profession will still exist and not being the ‘disrupted’ but the ‘disruptor’ of Industrial Revolution 4.0 era.Keywords: accountants, artificial intelligence, corporate sustainability, disruptive era, value-driven ABSTRAK Akuntan memiliki peran penting untuk mencapai keberlanjutan perusahaan. Namun dengan kemajuan teknologi, keberadaan akuntan mulai dipertanyakan. Menurut survei yang dilakukan oleh Osborne dan Frey pada tahun 2013, Universitas Oxford, akuntan memiliki peluang 94% untuk diganti di masa depan. Berdasarkan data tersebut, akuntan kini memasuki era baru disrupsi, yang dibuktikan dengan adanya kecerdasan buatan. Masa depan bisnis dan akuntan memasuki wilayah abu-abu dan keberlanjutan adalah hal yang paling vital untuk dibahas untuk saat ini. Untuk menantang status quo, diperlukan penelitian tentang peran akuntan sebagai value driver di era digital. Di masa depan, akuntan muda harus bertindak sebagai katalis nilai bagi bisnis untuk memastikan bahwa setiap pemangku kepentingan mendapatkan manfaat. Oleh karena itu, setidaknya ada lima strategi yang dapat disiapkan akuntan, yaitu: pemahaman business acumen, technology savvy, storytelling skill, fundamental data skill, dan strategic thinking skill. Saya yakin dengan lima strategi ini, profesi akuntan akan tetap eksis dan bukan menjadi ‘didisrupsi’ melainkan ‘pengganggu’ era Revolusi Industri 4.0.Kata kunci: akuntan, kecerdasan buatan, keberlanjutan perusahaan, era disrupsi, value-driven 


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