The impact of the introduction of artificial intelligence in radiology and its potential legal implications in the UK and Ireland

Anderson, Toni; Torreggiani, William C.; Munk, Peter; Mallinson, Paul I.

doi:10.1259/bjro.20200030

Cited by 4 publications

(1 citation statement)

References 6 publications

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“…The common thought is that radiologists will remain a central and crucial cog in the diagnostic process of image-based medicine, with AI acting as a «cognitive companion». It will likely improve patient outcomes and save money in the process" [Anderson, Torreggiani, and Munk, et al 2020]. Some international studies show positive reactions to the willingness to integrate selected medical personnel with the use of artificial intelligence as a diagnostic support tool [Sarwar, Dent, and Faust, et al 2019].…”

Section: The Use Of Artificial Intelligence In Imaging Diagnosticsmentioning

confidence: 99%

Legal Possibilities of Using AI in Medicine, with Particular Emphasis on Imaging Diagnostics and Responsibility of Medical Entities – Polish Perspective

Król-Całkowska

Walczak

2022

TKP

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The method/practise of providing healthcare services has been significantly modified due to the development of the pandemic. In everyday medical practice, the use of telecommunication media has begun to be widely used, which enable the provision of healthcare services at a distance. The next step is the use of artificial intelligence during the planning, implementation and control of medical activities, which will support and even replace humans at various stages of medical activities. The article discusses issues related to the use of artificial intelligence in the process of medical activities, referring the above to the perspective of current legal regulations. Considering the nature of civilization diseases, the paper refers to the use of AI on the basis of imaging diagnostics constituting the basis for cancer diagnosis and therapy. The choice of this broad topic was motivated by the indications of the latest literature, which emphasize that malignant tumor is the most common cause of death in developed countries and it is estimated that the number of cases will continue to increase in aging populations. The article is one of the first attempts to analyze the principles of using AI in medicine and the principles of its liability for potential damage. The authors used the method of analyzing the applicable regulations, including regulations under European law, and also made a synthetic analysis of the position of the judicature and doctrine. The article indicates that the liability for damage caused by AI should be identified with liability for a dangerous product. At the same time, the civil liability of the medical entity for damages resulting from the use of AI in the diagnostic imaging process will be subject to the general regime of tort liability.

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Section: The Use Of Artificial Intelligence In Imaging Diagnosticsmentioning

confidence: 99%

Legal Possibilities of Using AI in Medicine, with Particular Emphasis on Imaging Diagnostics and Responsibility of Medical Entities – Polish Perspective

Król-Całkowska

Walczak

2022

TKP

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A Study of AI-Based Systems in the Judicial Interpretation of the Law

Sharma,

Dixit,

Saxena

et al. 2024

Cyber Intelligence and Information Retrieval

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Influence of the implementation of automatic artificial intelligence-based CT image analysis systems in diagnosis of middle cerebral artery stroke in human

Andropova,

Kolesnikova,

Gavrilov

et al. 2024

Medicinskaâ vizualizaciâ

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The purpose of the study was to investigate the possibility of applying first-reader and second-reader modes in the implementation of an automatic detection program for MCA ischemic stroke in the diagnostic process of radiologists with less than 3 years of experience and varying expertise in emergency neuroradiology.Material and methods. The study included a software product based on artificial intelligence technologies, as well as seven doctors with less than 3 years of experience and varying expertise in the diagnosis of ischemic stroke. Complementary evaluation was performed based on a cohort of 100 patients admitted to the regional vascular center in Saint Petersburg with clinical presentation of ischemic stroke in the territory of the middle cerebral artery, who underwent native CT brain studies. Ischemic stroke was confirmed in half of the patients based on clinical data, as well as CT angiography of the cerebral vessels and CT perfusion. The diagnosis was ruled out in the other half. Two variants of implementing the artificial intelligence algorithm as a decision support system in the diagnostic process of a radiologist were simulated: the first (parallel) and second reader modes.Results. The results of the study showed that the application of the complementary evaluation parallel- reader mode leads to an increase in diagnostic efficiency indicators and interobserver agreement in assessing ASPECTS scale among young specialists, regardless of their experience with urgent pathology.

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The impact of the introduction of artificial intelligence in radiology and its potential legal implications in the UK and Ireland

Cited by 4 publications

References 6 publications

Legal Possibilities of Using AI in Medicine, with Particular Emphasis on Imaging Diagnostics and Responsibility of Medical Entities – Polish Perspective

Legal Possibilities of Using AI in Medicine, with Particular Emphasis on Imaging Diagnostics and Responsibility of Medical Entities – Polish Perspective

A Study of AI-Based Systems in the Judicial Interpretation of the Law

Influence of the implementation of automatic artificial intelligence-based CT image analysis systems in diagnosis of middle cerebral artery stroke in human

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