Radiology has been a leader in implementing artificial intelligence (AI) in healthcare, with its first use dating back to 1992 to detect microcalcifications in mammograms. In the last decade, AI has evolved into a tool for managing radiologists’ workload, with some advanced AI tools now able to interpret scans, suggest diagnoses, and draft reports. Despite FDA approval of over 700 AI algorithms to support physicians – 75 percent focused on radiology – only about 2 percent of radiology practices currently use these tools. Concerns around limited real-world testing, transparency in how algorithms work, and the need for diverse training data continue to present barriers to widespread adoption. However, when properly implemented, AI can enhance clinical care, support administrative tasks, and ultimately improve both physician and patient experiences.
Recent advancements in AI-driven breast cancer detection further highlight the impact of AI in radiology. The FDA recently cleared iCAD’s ProFound Detection Version 4 for digital breast tomosynthesis (DBT), which improves cancer detection in dense breasts by up to 50 percent and reduces false positives related to vascular and nonvascular calcifications by up to 51 percent. This new technology offers radiologists a comprehensive diagnostic tool, providing crucial support in identifying subtle but serious breast cancers.
These breakthroughs highlight the need to make advanced diagnostic tools accessible to all. The Find It Early Act (H.R. 3086) would require health insurers nationwide to cover supplemental breast imaging scans, such as MRIs and ultrasound, which many patients have to pay for out-of-pocket due to a lack of insurance coverage. Passing this act would significantly reduce financial barriers to early breast cancer detection, enabling more patients to benefit from life-saving screenings.
Take action today by urging Congress to pass the Find It Early Act. This legislation would help ensure that life-saving screening is accessible to patients nationwide, and hopefully increase access to innovative AI solutions in the future.