Artificial intelligence (AI) has become increasingly studied and implemented in some pathology departments; but how might AI models help change medicine? While technology leaders are calling for a pause on developing AI systems until there is greater confidence "that their effects will be positive and their risks will be manageable," (Pause Giant AI Experiments: An Open Letter. March 22, 2023. https://futureoflife.
View Article and Find Full Text PDFArch Pathol Lab Med
February 2015
Context: We use data from the College of American Pathologists Interlaboratory Comparison Program in Nongynecologic Cytology to identify common diagnostic errors in salivary gland fine-needle aspiration (FNA).
Objective: To identify salivary gland FNA cases with poor performance characteristics in the Nongynecologic Cytology Program surveys, so that the most common diagnostic pitfalls can be avoided.
Design: A retrospective review of the College of American Pathologists Nongynecologic Cytology Program's cumulative data from 1999 to 2003 revealed the most common false-positive and false-negative interpretations on FNA for common salivary gland lesions.
Context: Body cavity fluid examination presents a common and sometimes difficult diagnostic challenge in daily cytology practice. Separating benign from malignant cellular changes may require meticulous screening, careful scrutiny of cellular features, and an understanding of the range of reactive changes. We use the data from the College of American Pathologists (CAP) Interlaboratory Comparison Program in Nongynecologic Cytology (NGC) to identify characteristics of fluids that place them at opposite ends of the diagnostic spectrum.
View Article and Find Full Text PDFContext: Adenocarcinoma in situ of the cervix is a recently recognized interpretation in the Bethesda 2001 system. Although specific morphologic criteria have been published, recognizing this entity is still difficult.
Objective: To compare pathologists' ability to correctly identify and categorize adenocarcinoma in situ with their ability to identify and categorize adenocarcinoma, high-grade squamous intraepithelial lesion, and squamous cell carcinoma.