Quantib Blog Clinical implementation of AI in radiology: facing the challenges

Radiology is facing multiple challenges. A global shortage of radiologists1, an increasing population, and an increasing demand for imaging and diagnostic services, to name a few. All of that reduce the available time of the radiologists to evaluate a single scan. Figure 1:Trends In the amount of MRI scans performed between 2009 and 2019 In the US and the Netherlands2,3. This pressure has been shown to significantly and negatively influence the well-being of radiologists, pushing many to burnout 4, and consequently reducing the department's productivity and quality of medical care given to patients. The use of artificial intelligence (AI) might be one of the solutions to relieve the radiologists' workload, but what are some of the challenges for clinical implementation of AI and how can we face them?