Aug 2026· ESTIMA Brazilian Journal of Enterostomal Therapy· Vol 24· 0 citations· 18 references
TL;DR
Artificial intelligence can contribute to safer, higher-quality decisions when used as a support tool under human supervision, clinical discernment, and ethical responsibility, reaffirming the role of the enterostomal therapy nurse as a critical interpreter of technology and a guardian of autonomy, privacy, and humanized care.
Abstract
Objective: To analyze how the incorporation of artificial intelligence into enterostomal therapy influences clinical judgment, decision-making, and the ethical foundations of specialized care. Method: A theoretical essay based on a critical analysis of recent scientific literature on artificial intelligence in healthcare, with an emphasis on generative models, computer vision systems, bioethics, and data protection. Results: Artificial intelligence enhances analytical capacity and assessment accuracy but introduces risks related to uncritical reliance on automated recommendations, reduced patient autonomy, and the inappropriate handling of sensitive data, particularly clinical images. Conclusion: Artificial intelligence can contribute to safer, higher-quality decisions when used as a support tool under human supervision, clinical discernment, and ethical responsibility, reaffirming the role of the enterostomal therapy nurse as a critical interpreter of technology and a guardian of autonomy, privacy, and humanized care.
It is concluded that artificial intelligence constitutes a strategic tool for improving the quality of intensive care, but it does not replace clinical judgment or the ethical centrality of the patient, requiring a balanced integration of technological innovation, patient safety, adequate regulation, and respect for hu...
Antônia Bárbara Barbosa Silva, Décio Oliveira dos Santos, Isabela Molínero de Paula et al.· Revista de Estudos Interdisc...· 0 citations
Artificial intelligence (AI) is moving rapidly from retrospective prediction and image analysis into treatment selection, operative planning, intraoperative guidance, and postoperative prognostication in cardiothoracic surgery. This transition raises an ethical problem that cannot be resolved by model accuracy alone: w...
Vasileios Leivaditis, F. Mulita, V. Androutsopoulou et al.· Medical Science· 0 citations
The evidence indicates that AI can improve risk stratification, early recognition of clinical deterioration, medication-safety processes, documentation quality, and access to simulation-based education, and support a human-in-the-loop model in which AI augments rather than replaces nursing judgment.
Heloísa de Oliveira Nascimento· Nexus Science Review· 0 citations
Artificial intelligence (AI) is entering the domains of medicine in which clinical decisions must be made within seconds. Software is already employed to triage patients, interpret diagnostic imaging, and generate diagnostic suggestions. The pace of technological adoption, however, exceeds the pace at which its consequ...
O. Godovanets, O. Nechytailo, K. Dronyk et al.· Neonatology surgery and peri...· 0 citations
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Background:
Oncologists increasingly use clinical artificial intelligence (AI) tools in their decision-making. Understanding that use is central to ensuring AI only maintains or improves patient care quality. Over 1,450 AI-enabled medical devices are FDA-authorized, and most US health systems report AI depl...