AI and ethics in healthcare – Nursing education network

Tan, SC, Modra, L. and Hensman, T. (2025). AI ethics for on a regular basis intelligent. Critical care and resuscitationIN 27(2), 100115.

The basic topic revolves across the potential of AI to extend the efficiency of the ICU and patient results. There is a critical need to unravel ethical problems before widespread acceptance. The authors offer frames built on 4 traditional biomedical ethics pillars. These are charity, invalidity, autonomy and justice. They also add a key fifth pillar: profitability (understandability)- the unique coverage of recent AI systems (e.g. deep learning) makes it obscure how the recommendations are derived, constituting a singular challenge.

Although AI has “great potential to improve the care of the patient on the ICU”, his ethical implementation is crucial. Many artificial intelligence tools “were devastated after translating into real ICU settings.” This is usually attributable to biased training data, lack of external validation or a foul adaptation to clinical purposes. However, “some AI models proved to be promising when they are developed and assessed responsibly.” Therefore, investing in ethical implementation of AI is crucial. It is needed to secure patients and clinicians while using the advantages of this technology.