AI is no longer an abstract concept in healthcare, from accelerating diagnostics and optimizing treatment plans to enhancing operational workflows and patient engagement. Yet, not every AI innovation delivers equal value.
According to a report by Gitnux, the global AI‑in‑healthcare market is projected to grow from $45.2 billion in 2026 to $188 billion by 2030.
While some technologies are already reshaping clinical practices, others remain in experimental stages or are overhyped with minimal real-world impact.