AI-Powered Diagnostic Tools for Early Disease Detection in Nursing Practice: A Paradigm Shift

The use of artificial intelligence (AI) in healthcare is changing the way diseases are diagnosed, especially in detecting diseases early. Nurses, as key members of healthcare teams, have an important role in using these technologies to help improve patient care. But the introduction of AI tools brings up questions about their effectiveness, ethical concerns, and how they will affect nursing work. This study used a mix of methods, including a survey with 200 nurses, group discussions with 25 nurses, and interviews with AI developers. A review of studies published between 2015 and 2025 was also done to support the findings. The results showed that AI-powered diagnostic tools greatly improved diagnostic accuracy (from 72% to 92%) and shortened the time needed to detect diseases (from 14 days to 3 days). Nurses reported that they valued AI’s help, especially in complex cases. However, they also expressed concerns about becoming too dependent on technology, ethical challenges, and the need for proper training. While AI diagnostic tools represent a major change in nursing, making healthcare more efficient and accurate in early disease detection, it is important to address the challenges related to ethics, technology, and practical use to ensure these tools are effectively and sustainably integrated into nursing practice.