Literature DB >> 35147728

[Ethical, legal and social implications in the use of artificial intelligence-based technologies in surgery : Principles, implementation and importance for the user].

Dirk Wilhelm1,2, Regine Hartwig3, Stuart McLennan4, Sven Arnold5, Philip Mildner6, Hubertus Feußner3, Thomas Neumuth7, Richard Bieck7.   

Abstract

Ethical, legal and social aspects are gaining increasingly more attention in the development and during the initial clinical application of medical devices. The introduction of elements of artificial intelligence (AI) and systems which are using AI makes this already complex topic even more challenging. The introduction of so-called dynamic AI or dynamic machine learning (ML) algorithms in this respect represents a turning point. Unlike conventional medical devices, the development of systems using dynamic AI is not yet complete at the beginning of the clinical application. The aim of a dynamic AI system is to continuously improve through practical use and by the processing of usage data. This continuous evolution, along with the lack of transparency regarding internal work processes, could make it difficult to understand the underlying rationale for the assessments made by the algorithms. This aspect affects the acceptance of the technology both by clinicians and patients and furthermore questions the autonomy of patients and clinicians in the course of the treatment process. A way out of this ethical and regulatory dilemma must urgently be found and will require extreme efforts from all stakeholders. At present, no consensual solution is apparent. What is quite certain, however, is that users, i.e. in concrete terms surgeons, must play a much more active role than they have done in the past when dealing with AI-based medical devices and should prepare themselves to actively accompany the software life cycle of AI technologies.
© 2022. The Author(s), under exclusive licence to Springer Medizin Verlag GmbH, ein Teil von Springer Nature.

Entities:  

Keywords:  Assistance system; Ethical aspects; Machine learning; Medical devices; Software life cycle

Mesh:

Year:  2022        PMID: 35147728     DOI: 10.1007/s00104-022-01574-2

Source DB:  PubMed          Journal:  Chirurg        ISSN: 0009-4722            Impact factor:   0.955


  4 in total

1.  A Pragmatic Approach to Ethical Decision-Making in Engineering Practice: Characteristics, Evaluation Criteria, and Implications for Instruction and Assessment.

Authors:  Qin Zhu; Brent K Jesiek
Journal:  Sci Eng Ethics       Date:  2016-10-10       Impact factor: 3.525

2.  Should Health Care Demand Interpretable Artificial Intelligence or Accept "Black Box" Medicine?

Authors:  Fei Wang; Rainu Kaushal; Dhruv Khullar
Journal:  Ann Intern Med       Date:  2019-12-17       Impact factor: 25.391

Review 3.  Quantitative prognostic indices in peritoneal carcinomatosis.

Authors:  F N Gilly; E Cotte; C Brigand; O Monneuse; A C Beaujard; G Freyer; O Glehen
Journal:  Eur J Surg Oncol       Date:  2006-04-17       Impact factor: 4.424

4.  Role of diagnostic laparoscopy in patients with suspicion of colorectal peritoneal metastases to evaluate suitability for cytoreductive surgery with hyperthermic intraperitoneal chemotherapy.

Authors:  J E K R Hentzen; W Y van der Plas; R D N Constansia; L B Been; F J H Hoogwater; R J van Ginkel; G M van Dam; P H J Hemmer; S Kruijff
Journal:  BJS Open       Date:  2019-09-18
  4 in total

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