Are the Pilots Onboard? Equipping Radiologists for Clinical Implementation of AI.

The incorporation of artificial intelligence into radiological clinical workflow is on the verge of being realized. To ensure that these tools are effective, measures must be taken to educate radiologists on tool performance and failure modes. Additionally, radiology systems should be designed to avoid automation bias and the potential decline in radiologist performance. Designed solutions should cater to every level of expertise so that patient care can be enhanced and risks reduced. Ultimately, the radiology community must provide education so that radiologists can learn about algorithms, their inputs and outputs, and potential ways they may fail. This manuscript will present suggestions on how to train radiologists to use these new digital systems, how to detect AI errors, and how to maintain underlying diagnostic competency when the algorithm fails.

Metaplastic breast cancer in a patient with neurofibromatosis.

Metaplastic breast cancer is a rare malignancy in the breast. Neurofibromatosis Type 1 is an autosomal dominant multisystem disorder associated with multiple neoplasms such as optic gliomas and peripheral nerve sheath tumors. The association of breast cancer with neurofibromatosis is very rare. We present a case of a metaplastic breast cancer in a patient with Type 1 neurofibromatosis. The patient presented with a palpable mass in her left breast with suspicious findings on mammogram and ultrasound. Ultrasound-guided percutaneous biopsy showed metaplastic breast carcinoma with metastasis to an axillary lymph node. This is the third case report in the English literature to show metaplastic breast carcinoma in a patient with Type 1 neurofibromatosis. In this report we review recent literature and discuss the association between these two entities.