Artificial intelligence (AI) is a rapidly growing field that shows continued promise in aiding diagnosis from images, specifically diagnostic medical images. These benefits extend beyond the imaging department, as radiation oncology departments begin to automate labor-intensive treatment planning processes. While many technologists may not be aware of image analysis outside of their home imaging departments, disciplines including dermatology, pathology and many others that examine images stand to benefit from AI advances.
Given the explosion in interest and research inquiries concerning AI, it is important for technologists to become familiar with the terminology surrounding AI, as well as the potential impact on patient care and economic factors.
Learning Objectives:
- Explain how artificial intelligence (AI) has been integrated into the radiology patient care workflow
- Describe applications of AI currently used in radiography, sonography and radiation therapy
- Describe how AI can be utilized in image recognition outside of traditional medical images
Cassling strengthens community healthcare through customer-centric imaging and therapeutic technology, services and solutions. From critical access hospitals and diagnostic imaging centers to large health systems and IDNs, Cassling is committed to helping healthcare organizations improve access and outcomes, create efficiencies and lower costs.
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