Frideswide – An artificial intelligence deep learning algorithm for audits and quality improvement in the neurosurgical practice

Brzezicki, Maksymilian A.; Kobetić, Matthew David; Neumann, Sandra

doi:10.1016/j.ijsu.2017.05.038

Cited by 4 publications

(3 citation statements)

References 5 publications

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“…AI facilitates the computerization and automation of the accounting process by providing speed, fast feedback, and improving the efficiency of accounting work. However, AI technology brings opportunities and risks to the development of MA, such as ethical issues related to the exposure of the decision-making process to machines that do not have human characteristics [62]. Following the research (H1), we found that ethical issues such as security, transparency, and trust, in particular, and other issues such as confidentiality, responsibility, privacy, correctness, and security can be barriers to implementing AI solutions in MA.…”

Section: Discussionmentioning

confidence: 80%

Assessing the Impact of AI Solutions’ Ethical Issues on Performance in Managerial Accounting

Vărzaru

2022

Electronics

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In the contemporary, constantly changing business environment characterized by globalization, openness, and competitiveness, implementing different processes of new information technologies has become a competitive advantage. The field of managerial accounting is a successful example of the implementation of artificial intelligence in operations and the decision-making process based on accounting information. However, ethical issues within managerial accounting and those added through the implementation of artificial intelligence need to be addressed carefully. In this paper, the main objective is to investigate these ethical issues regarding the perception of accountants on the usefulness, efficiency, and effectiveness of implementing artificial intelligence in managerial accounting. To investigate these effects, we conducted a study based on a questionnaire among 396 accountants in Romania who use various artificial intelligence solutions in their activities in managerial accounting. The results of structural equation modeling showed that the ethical issues of autonomy, responsibility, and trust significantly influence the perceived usefulness and the performance of artificial intelligence solutions. The research concludes that artificial intelligence solutions solve many ethical issues in managerial accounting. Still, through their design and application, artificial intelligence solutions can create other ethical problems specific to managerial accounting and business ethics. Therefore, despite all the barriers and reluctance of professionals, artificial intelligence will substantially impact managerial accounting in the years to come.

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Section: Discussionmentioning

confidence: 80%

Assessing the Impact of AI Solutions’ Ethical Issues on Performance in Managerial Accounting

Vărzaru

2022

Electronics

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“…Putting the FwA to a real-life test revealed several phenomena that were not displayed during the initial simulation [41] (Fig 2A). Interestingly, these were hypothesized in the landmark AI paper before [48] and thus the study is of an immense value to the computer scientists exploring this unchartered territory.…”

Section: Concrete Problems Of Ai Implementationmentioning

confidence: 99%

“…A total of 47 patient journeys were followed and analysed using the Frideswide AI algorithm (FwA) [41]. The input was generated from clinical letters, discharge summaries, request sheets and investigation reports available on the hospital's computer system.…”

Section: Frideswide Algorithm Set-upmentioning

confidence: 99%

Diagnostic accuracy of frontotemporal dementia. An artificial intelligence-powered study of symptoms, imaging and clinical judgement

Brzezicki

Kobetić

Neumann³

et al. 2019

Advances in Medical Sciences

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PURPOSE Frontotemporal dementia (FTD) is a neurodegenerative disorder associated with a poor prognosis and a substantial reduction in quality of life. The rate of misdiagnosis of FTD is very high, with patients often waiting for years without a firm diagnosis. This study investigates the current state of the misdiagnosis of FTD using a novel artificial intelligencebased algorithm. PATIENTS & METHODS An artificial intelligence algorithm has been developed to retrospectively analyse the patient journeys of 47 individuals diagnosed with FTD (age range 52-80). The algorithm analysed the efficiency of patient pathways by utilizing a reward signal of-1 to +1 to assess the symptoms, imaging techniques, and clinical judgement in both behavioural and language variants of the disease. RESULTS On average, every patient was subjected to 4.93 investigations, of which 67.4% were radiological scans. From first presentation it took on average 939 days for a firm diagnosis. The mean time between appointments was 204 days, and the average patient had their diagnosis altered 7.37 times during their journey. The algorithm proposed improvements by evaluating the interventions that resulted in a decreased reward signal to both the individual and the population as a whole. CONCLUSIONS The study proves that the algorithm can efficiently guide clinical practice and improve the accuracy of the diagnosis of FTD whilst making the process of auditing faster and more economically viable.

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Artificial intelligence outperforms human students in conducting neurosurgical audits

Brzezicki

Bridger

Kobetić

et al. 2020

Clinical Neurology and Neurosurgery

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Frideswide – An artificial intelligence deep learning algorithm for audits and quality improvement in the neurosurgical practice

Cited by 4 publications

References 5 publications

Assessing the Impact of AI Solutions’ Ethical Issues on Performance in Managerial Accounting

Assessing the Impact of AI Solutions’ Ethical Issues on Performance in Managerial Accounting

Diagnostic accuracy of frontotemporal dementia. An artificial intelligence-powered study of symptoms, imaging and clinical judgement

Artificial intelligence outperforms human students in conducting neurosurgical audits

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