Performance of an artificial intelligence system for breast cancer detection on screening mammograms from BreastScreen Norway
M Larsen, CF Olstad, CI Lee, T Hovda… - Radiology: Artificial …, 2024 - pubs.rsna.org
Purpose To explore the stand-alone breast cancer detection performance, at different risk
score thresholds, of a commercially available artificial intelligence (AI) system. Materials and …
score thresholds, of a commercially available artificial intelligence (AI) system. Materials and …
[HTML][HTML] AI in breast cancer screening: a critical overview of what we know
JL Raya-Povedano - European Radiology, 2024 - Springer
Despite their undoubted benefits, they are not free of problems. The main ones are false
negatives (cancers not detected in screening readings) and false positives (recalls due to …
negatives (cancers not detected in screening readings) and false positives (recalls due to …
AI-enhanced Mammography with Digital Breast Tomosynthesis for Breast Cancer Detection: Clinical Value and Comparison with Human Performance
D Resch, R Lo Gullo, J Teuwen, F Semturs… - Radiology: Imaging …, 2024 - pubs.rsna.org
Purpose To compare two deep learning–based commercially available artificial intelligence
(AI) systems for mammography with digital breast tomosynthesis (DBT) and benchmark them …
(AI) systems for mammography with digital breast tomosynthesis (DBT) and benchmark them …
Artificial Intelligence (AI)-Based Computer-Assisted Detection and Diagnosis for Mammography: An Evidence-Based Review of Food and Drug Administration (FDA) …
In recent years, the emergence of new-generation deep learning-based artificial intelligence
(AI) tools has reignited enthusiasm about the potential of computer-assisted detection …
(AI) tools has reignited enthusiasm about the potential of computer-assisted detection …
Implementing artificial intelligence for emergency radiology impacts physicians' knowledge and perception: A prospective pre-and post-analysis
BF Hoppe, J Rueckel, Y Dikhtyar, M Heimer… - Investigative …, 2023 - journals.lww.com
Purpose The aim of this study was to evaluate the impact of implementing an artificial
intelligence (AI) solution for emergency radiology into clinical routine on physicians' …
intelligence (AI) solution for emergency radiology into clinical routine on physicians' …
AI in breast imaging: Applications, challenges, and future research
P Oza - … intelligence and modelling techniques for disease …, 2024 - Elsevier
Breast cancer is one of the leading causes of mortality for women all over the world. This
illness significantly threatens the physical and emotional health of women. Breast cancer …
illness significantly threatens the physical and emotional health of women. Breast cancer …
Artificial intelligence for breast cancer screening: breathtaking results and a word of caution
N Segnan, A Ponti - The Lancet Oncology, 2023 - thelancet.com
Therefore, industry-driven and academia-driven models are not mutually exclusive.
Collaborative endeavours, such as the Papilio-1 BCMA CAR T-cell study (EudraCT 2022 …
Collaborative endeavours, such as the Papilio-1 BCMA CAR T-cell study (EudraCT 2022 …
[HTML][HTML] Optimising the diagnostic accuracy of First post-contrAst SubtracTed breast MRI (FAST MRI) through interpretation-training: a multicentre e-learning study …
LI Jones, A Marshall, R Geach, P Elangovan… - Breast Cancer …, 2024 - Springer
Abstract Background Abbreviated breast MRI (FAST MRI) is being introduced into clinical
practice to screen women with mammographically dense breasts or with a personal history …
practice to screen women with mammographically dense breasts or with a personal history …
Leveraging Differences in AI and Human “Vision” to Improve Breast Cancer Detection
TS Mehta - Radiology, 2023 - pubs.rsna.org
literature supporting the use of AI to complement radiologists' role in screening
mammography, with different models proposed in a double-reading environment. The …
mammography, with different models proposed in a double-reading environment. The …
In simple but challenging search tasks, most errors are stochastic
JM Wolfe, J Hulleman, A Mitra, W Si - Attention, Perception, & …, 2024 - Springer
In visual search tasks in the lab and in the real world, people routinely miss targets that are
clearly visible: so-called look but fail to see (LBFTS) errors. If search displays are shown to …
clearly visible: so-called look but fail to see (LBFTS) errors. If search displays are shown to …