Abstract
Artificial intelligence (AI) has become highly topical, finding application in many aspects of life, including healthcare, to support screening, diagnostics, treatment planning, surgery, patient care, education and research. Artificial intelligence can increase work efficiencies, streamline processes, and analyse large global datasets quickly, accurately and cheaply. However, ethical, legal and professional concerns exist, including inherent biases, lack of transparency, and data confidentiality issues (Rowe et al., 2022). As with many emerging technologies, opinions are divided, with some believing AI will create new employment opportunities and relieve skills shortages, while others view AI as a threat to their privacy, job security, workplace autonomy, and professional identity (Aquino et al., 2023; Gillespie et al., 2023; Rowe et al., 2022).
| Original language | English |
|---|---|
| Pages (from-to) | 2369-2370 |
| Journal | Journal of Clinical Nursing |
| Volume | 33 |
| Issue number | 7 |
| DOIs | |
| Publication status | Published - 31 Jul 2024 |
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