@inproceedings{c954987d7a004087af8ecb2544534675,
title = "The Case of Missed Cancers: Applying AI as a Radiologist{\textquoteright}s Safety Net",
abstract = "We investigate the potential contribution of an AI system as a safety net application for radiologists in breast cancer screening. As a safety net, the AI alerts on cases suspected to be malignant which the radiologist did not recommend for a recall. We analyzed held-out data of 2,638 exams enriched with 90 missed cancers. In screening mammography settings, we show that a system alerting on 11 out of every 1,000 cases, could detect up to 10.7% of the radiologists{\textquoteright} missed cancers. Thus, significantly increasing radiologist{\textquoteright}s sensitivity to 80.3%, while only slightly decreasing their specificity to 95.3%. Importantly, the safety net demonstrated a significant contribution to their performance even when radiologists utilized both mammography and ultrasound images. In those settings, it would have alerted 8.5 times per 1,000 cases, and detected 11.7% of the radiologists{\textquoteright} missed cancers. In an analysis of the missed cancers by an expert, we found that most of the cancers detected by the AI were visible post-hoc. Finally, we performed a reader study with five radiologists over 120 exams, 10 of which were originally missed cancers. The AI safety net was able to assist 3 out of the 5 radiologists in detecting missed cancers without raising any false alerts.",
keywords = "Breast imaging, Computer-aided diagnosis, Deep learning",
author = "Michal Chorev and Yoel Shoshan and Adam Spiro and Shaked Naor and Alon Hazan and Vesna Barros and Iuliana Weinstein and Esma Herzel and Varda Shalev and Michal Guindy and Michal Rosen-Zvi",
note = "Publisher Copyright: {\textcopyright} 2020, Springer Nature Switzerland AG.; null ; Conference date: 04-10-2020 Through 08-10-2020",
year = "2020",
doi = "10.1007/978-3-030-59725-2_22",
language = "אנגלית",
isbn = "9783030597245",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "220--229",
editor = "Martel, {Anne L.} and Purang Abolmaesumi and Danail Stoyanov and Diana Mateus and Zuluaga, {Maria A.} and Zhou, {S. Kevin} and Daniel Racoceanu and Leo Joskowicz",
booktitle = "Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 - 23rd International Conference, Proceedings",
address = "גרמניה",
}
