This growth will be driven by technology advances such as clinical decision support, sensors, 3D printing and advanced analytics that can be applied to medical images. These approaches will enable clinicians to use medical imaging to inform more targeted and personalized patient care.
“AI-enriched imaging equipment will help adapt and personalize the imaging protocols and procedures while precise radiomic and phenomic datasets from the given clinical context will enable deep learning, thereby reinforcing medical imaging’s contribution to precision medicine,” explained Siddharth Saha, vice president of research for transformational health at Frost & Sullivan.
Ten growth opportunities for medical imaging companies to tap into, according to Frost & Sullivan:
1. Evidence-based study ordering
2. Advanced imaging techniques and personalized image acquisition protocols
3. Adaptive, anatomical and applied machine intelligence
4. Precision reporting
5. Quantitative imaging and radiomics
6. Image-based, 3D-printed implants and anatomical guides
7. Real-time, image-guided interventions
8. Precise oncologic radiation dose therapy
9. Molecular imaging of theranostic radiotracers
10. Imaging study value, quality and outcomes analytics
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