Go back
Digital chest X-rays (CXRs) are stored in a standardized digital format known
as
DICOM, which allows for efficient storage, retrieval, and sharing of medical
images. AI algorithms applied to CXRs face challenges such as ensuring data
quality and diversity to avoid bias, as well as addressing ethical
considerations related to patient privacy and data security (HIPAA). Technical challenges include integrating AI systems into existing clinical
workflows and ensuring compatibility with different hospital systems. Despite
these challenges, AI has the potential to improve the accuracy and efficiency
of CXR interpretation, particularly in identifying subtle abnormalities and
assisting in disease detection. AI can also help address the shortage of
radiologists in certain areas by providing automated image analysis and
assisting in prioritizing critical cases.
