Radiologie in AZ Sint-Blasius Dendermonde voert 4 nieuwe AI-toepassingen in

Inteligența artificială promite să schimbe medicina globală, dar adevărata întrebare nu este dacă poate înlocui medicii, ci dacă poate stabiliza un sistem sub presiune. În timp ce Europa se confruntă cu un deficit de peste 30.000 de radiologi, iar România are una dintre cele mai mici rate de digitalizare medicală din UE, Spitalul „Grigore Alexandrescu” din București lucrează cu o soluție AI folosită deja în 60 de țări. Rezultatul? O lecție despre responsabilitate, scepticism sănătos și maturitate tehnologică.

Across the United States, physicians at orthopaedic urgent care clinics routinely review the prior day’s X-rays. Most of the time, these reviews validate what has already been identified by the advanced practice provider (APP). Some identify a discrepancy; a small number of those discrepancies involve a patient who has gone home, received provisional reassurance, and now requires a phone call to bring them back.

In the U.S., the number of medical studies that radiologists receive on an annual basis has nearly doubled, from 14,900 studies per year in 2008 to 26,457 studies per year in 2018. Yet, there was only a 13% increase in new radiologists entering the radiology field over the same period.¹ As of the end of 2024, the quarter of radiologists read 30.6% more studies per day than they did in 2018, and they performed 19.7% more clinical shifts each quarter than they did in 2018.² This radiology workforce shortage is occurring at the same time as radiology imaging volume growth, which is one reason AI for X-rays has become a practical workflow topic rather than a theoretical discussion.