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Nurses are essential in patient care, upholding the ethical principles of their profession and effectively navigating ethical dilemmas. Neglecting ethical issues can lead to inadequate patient care, compromised therapeutic relationships, and moral distress among healthcare workers.
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Artificial intelligence in intensive care unit: Current ethical dilemmas.

Francisco Zarra1,2, Marcos Rolando3, Rubén Páramo Cardona4

  • 1Department of Neurosurgery, University of Buenos Aires School of Medicine, Buenos Aires, Argentina.

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Artificial intelligence (AI) in neurocritical care presents ethical and legal challenges. This paper examines the medico-legal dilemmas surrounding AI use in this vulnerable patient population.

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Medical ethicsintracranial pressure use of AIpatient care

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Area of Science:

  • Neuroscience
  • Medical Ethics
  • Health Law

Background:

  • Neurocritical care patients are a vulnerable population requiring complex assessments.
  • The integration of artificial intelligence (AI) into critical care settings raises significant ethical and legal questions.
  • Existing medico-legal frameworks may not adequately address the use of AI in healthcare.

Purpose of the Study:

  • To explore the ethical and legal issues associated with the current medical use of artificial intelligence (AI) in neurocritical care.
  • To identify specific medico-legal dilemmas, including liability, data privacy, and regulatory gaps.
  • To provide a foundation for understanding the implications of AI in managing neurocritical patients.

Main Methods:

  • Literature review of ethical guidelines, legal precedents, and AI applications in critical care.
  • Analysis of medico-legal challenges such as data protection, accountability, and the absence of official medical guidelines.
  • Ethical considerations based on principles like the Helsinki Declaration.

Main Results:

  • The use of AI in neurocritical care is hindered by a lack of clear legal liability and established medical guidelines.
  • Concerns regarding patient data privacy and the accessibility of medical records in judicial proceedings are prominent.
  • The ethical considerations, particularly for vulnerable neurocritical patients, are complex and require careful navigation.

Conclusions:

  • The current medical application of AI in neurocritical care is fraught with ethical-legal complexities.
  • Addressing issues of legal liability, data privacy, and regulatory oversight is crucial for the responsible implementation of AI.
  • Further development of guidelines and legal frameworks is necessary to support the safe and ethical use of AI in neurocritical patient management.