Healthcare systems worldwide are facing increasing structural pressure driven by the simultaneous growth of clinical data volumes, rising case complexity, and the necessity of making decisions under strict time constraints. These dynamics increasingly expose a systemic mismatch between the amount of available medical information and the capacity to operationalize it effectively within clinical reasoning. In many cases, clinical understanding emerges only after critical decisions have already been made.
The post Artificial Intelligence in clinical practice: Experience of AIdMD AI platform and its significance for digital transformation of healthcare in Azerbaijan first appeared on The South Caucasus News – SouthCaucasusNews.com.
