Artificial intelligence applications in intracerebral hemorrhage care: implications for clinical and nursing practice - a narrative literature review.

The review includes only seven studies, and six were retrospective, meaning they analyzed past data rather than testing current interventions. The only prospective study included was a protocol with no results, so it contributes no evidence of effectiveness. All studies were conducted in China or Japan, which may limit how well the findings apply to other healthcare systems. Most studies reported only statistical accuracy (area under the curve) without explaining how these tools perform in real clinical decisions or whether they are interpretable to clinicians. The search strategy yielded only two studies from databases, suggesting the literature is sparse or poorly indexed, and many relevant stroke studies may have been excluded for not being specific to intracerebral hemorrhage.

The paper does not report any funding sources or conflicts of interest for the authors of the review.

Do not interpret high statistical accuracy scores as evidence that AI tools are ready for clinical use. These models were tested on retrospective or simulated data, and the review found no studies proving that using them improves patient care or outcomes.