4 Trends in medical imaging in 2024: Breakthroughs in radiology productivity

AI has been a popular term in radiology for many years, with most of the field’s AI applications achieving U.S. Food and Drug Administration (FDA) approval before the widespread use of GPT-3 and GPT-4 in 2023. For many, machine learning's potential is more than just talk; the power of well-trained, image-augmented AI has already been demonstrated as a useful tool for quality control, disease tracking, tumor segmentation, and making prognosis predictions.

AI will continue to be a driving force in 2024, leading to gradual improvements in effectiveness of care and resulting in profound impacts on the patient journey. Read on for our views on how standardized, adaptable infrastructure for medical imaging AI will ultimately improve the efficiency and precision of radiological assessments.

1. Augmentative AI, Not Autonomous