Automation Bias in Mammography: The Impact of Artificial Intelligence BI-RADS Suggestions on Reader Performance

Artificial Intelligence (AI) for Screening Mammography, From the AI Special Series on AI Applications

(2022) Leslie R. Lamb et al.   AMERICAN JOURNAL OF ROENTGENOLOGY

Faster and Better: How Anomaly Detection Can Accelerate and Improve Reporting of Head Computed Tomography

(2022) Tom Finck et al.   Diagnostics

Augmenting lung cancer diagnosis on chest radiographs: positioning artificial intelligence to improve radiologist performance

(2021) M.D.B.S. Tam et al.   CLINICAL RADIOLOGY

A Warning about Warning Signals for Interpreting Mammograms

(2021) Solveig Hofvind et al.   RADIOLOGY

CAD and AI for breast cancer—recent development and challenges

(2019) Heang-Ping Chan et al.   BRITISH JOURNAL OF RADIOLOGY

Unintended Consequences of Machine Learning in Medicine

(2017) Federico Cabitza et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Diagnostic Accuracy of Digital Screening Mammography With and Without Computer-Aided Detection

(2015) Constance D. Lehman et al.   JAMA Internal Medicine

Effect of radiologist experience on the risk of false-positive results in breast cancer screening programs

(2011) Raquel Zubizarreta Alberdi et al.   EUROPEAN RADIOLOGY

Automation bias: a systematic review of frequency, effect mediators, and mitigators

(2011) Kate Goddard et al.   JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION

Complacency and Bias in Human Use of Automation: An Attentional Integration

(2010) Raja Parasuraman et al.   HUMAN FACTORS

CT Colonography with Computer-aided Detection as a Second Reader: Observer Performance Study

(2008) Nicholas Petrick et al.   RADIOLOGY