Today in Medmultilingua
Artificial intelligence (AI) is rapidly reshaping clinical practice, moving from experimental promise to everyday utility in hospitals worldwide. A recent mapping review published in Artificial Intelligence in Medicine analyzed 368 systematic reviews and meta‑analyses (2019–2026), offering one of the most comprehensive panoramas to date on how AI is transforming healthcare. The evidence shows a clear concentration of progress in radiology, oncology, and critical care—fields where large volumes of digital data and high‑stakes decisions create fertile ground for algorithmic support. Traditional data sources such as diagnostic imaging, electronic health records, and laboratory biomarkers still dominate, but wearable and sensor‑based data have surged since 2022, enabling continuous, personalized monitoring.
Beyond diagnosis, prognosis, and treatment—still the core applications—new frontiers are emerging. These include AI‑assisted clinical documentation, conversational systems for patient education, and predictive tools for hospital operations. Yet the expansion of AI also brings growing ethical concerns: privacy risks, algorithmic bias, transparency challenges, and the need for robust governance frameworks. The review underscores a central message: the future of medicine lies not in replacing clinicians, but in advancing augmented intelligence, where computational precision enhances human judgment to deliver safer, more anticipatory, and more equitable care.
