What Do the Experts Recommend?
Stamatia V. Destounis, MD, FACR, chair of the American College of Radiology (ACR) Breast Imaging Commission, said the college welcomes ongoing research into the efficacy of AI technologies and that AI may prove to be beneficial as an improved workflow tool.
The ACR has not released any guidance about the use of AI for radiologists and have no recommendation about best practices, Dr. Destounis said.
“The decisions regarding which technologies that various health systems and radiology sites choose to use are made by those facilities,” she said.
Dr. Destounis said more research is needed to demonstrate whether or not AI technologies help radiologists produce better results in identifying disease, injury, and illnesses among the general population or in specific groups — whether based on age, physical characteristics, race, ethnicity or risk status for breast cancer.
“Also, a way to measure each AI product is needed so that we can be certain they are relatively equivalent in their efficacy and accuracy — initially and over a prolonged period of time,” she said.
No consensus or concrete recommendation exists about the use of AI in mammography screening, adds Peter P. Yu, MD, FACP, FASCO, physician-in-chief at the Hartford HealthCare Cancer Institute and a member of the newly-created American Society of Clinical Oncology AI task force.
One of the many discussions concerning AI is to what degree patients should be aware that AI is being used in their healthcare and whether they should be required to give consent to its use, Dr. Yu said.
If AI is used to assist radiologists with mammographic interpretation, radiologists should discuss with patients how it’s being used and explain the ultimate reading is in the hands of their physician radiologist, he said.
“In the unlikely situation where there wasn’t a human in the loop and AI was in effect making a medical decision, the patient needs to be aware,” he said. “I’m not aware that any such situation exists today. AI is more likely to be subtly embedded in the software that operates technology, much like it is embedded in manufacturing and transportation.”
Who Will Pay for AI?
When it comes to payment, Dr. Yu said shifting the cost of AI to patients creates serious risk.
“It has enormous potential to increase health inequities,” he said. “If we believe health care is a fundamental human right, AI should inure to the benefit of all, not just those who can afford it. Healthcare should not be a luxury item; if it works, it works for all.”
In general, the issue of payment for AI is still pretty “thorny,” Dr. Heacock noted. Currently, there’s no way for physicians to request direct reimbursement for AI reads of mammograms.
While Dr. Heacock says she is sympathetic to the companies that spend significant time and effort on their AI technology, she doesn’t think charging patients is the right solution.
“We know that many women already have difficulty in paying for mammography-related services and this is just one more charge to confuse them or that they can’t pay,” she said.
Dr. Sorensen expects that, similar to 3D mammography, payers will eventually cover RadNet’s AI technology and that patients will no longer need to pay out of pocket. One Blue Cross carrier will start covering the AI in April 2024, he said.