Artificial Intelligence and Precision Medicine: A Systematic Review of Clinical Decision Support Systems in Digital Health

Background: Digital health is changing the way doctors and nurses care for patients, and artificial intelligence is at the heart of this shift, helping clinicians make smarter decisions. This systematic review explores how well artificial intelligence-driven clinical decision support systems work in sharpening diagnoses and improving patient health. We believe these systems can outperform traditional methods, delivering better results for both healthcare providers and patients. Methods: We dug into databases like PubMed, Scopus, and Web of Science, looking at studies from ۲۰۱۵ to ۲۰۲۵. Our focus was on research randomized trials, cohort studies, and observational work that involved healthcare workers, such as doctors or specialists, using artificial intelligence tools. We paid close attention to who was involved (e.g., their roles and experience), the technology behind the systems (like machine learning or neural networks), and how these tools were used in real-world settings, from bustling hospitals to virtual telemedicine platforms. Results: From ۳۵ studies, we found that artificial intelligence-powered systems boosted diagnostic accuracy by about ۱۸% compared to older methods. They also cut mistakes in clinical practice by roughly ۲۲%, making a real difference in patient care, especially for chronic illnesses like diabetes and in high-stakes emergency rooms. However, the systems weren't flawless; their effectiveness sometimes hinged on the caliber of the data they were trained on and how well they integrated with a clinic's regular operations. Conclusion: Clinical decision support systems powered by artificial intelligence are revolutionizing digital health by enabling more accurate diagnosis and better patient care. Their success depends on having accurate data and being carefully integrated into the healthcare process. Going forward, we require precise rules to guarantee that these resources are applied consistently and equitably, particularly for marginalized populations. In addition to highlighting the fascinating potential of AI in medicine, this review urges further research to realize its full potential.

کلیدواژه ها:

Artificial Intelligence ، Digital Health ، Clinical Decision Support ، Precision Medicine