OOIR: Observatory of International Research

Papers

(The H4-Index of Journal of the American College of Radiology is 33. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-04-01 to 2024-04-01.)

Article	Citations
Coronavirus (COVID-19) Outbreak: What the Department of Radiology Should Know	311
Coronavirus Disease 2019 (COVID-19) CT Findings: A Systematic Review and Meta-analysis	269
Burnout and Posttraumatic Stress Disorder in the Coronavirus Disease 2019 (COVID-19) Pandemic: Intersection, Impact, and Interventions	219
Coronavirus Disease 2019 (COVID-19) and Beyond: Micropractices for Burnout Prevention and Emotional Wellness	116
Impact of the Coronavirus Disease 2019 (COVID-19) Pandemic on Imaging Case Volumes	110
Deep Learning for Natural Language Processing in Radiology—Fundamentals and a Systematic Review	110
Breast Cancer Screening Recommendations Inclusive of All Women at Average Risk: Update from the ACR and Society of Breast Imaging	100
Inconsistent Performance of Deep Learning Models on Mammogram Classification	98
The Battle Against Coronavirus Disease 2019 (COVID-19): Emergency Management and Infection Control in a Radiology Department	95
2020 ACR Data Science Institute Artificial Intelligence Survey	74
Unilateral Lymphadenopathy After COVID-19 Vaccination: A Practical Management Plan for Radiologists Across Specialties	70
Acute Appendicitis During Coronavirus Disease 2019 (COVID-19): Changes in Clinical Presentation and CT Findings	68
Regulatory Frameworks for Development and Evaluation of Artificial Intelligence–Based Diagnostic Imaging Algorithms: Summary and Recommendations	65
ACR Statement on Safe Resumption of Routine Radiology Care During the Coronavirus Disease 2019 (COVID-19) Pandemic	53
Novel Screening and Triage Strategy in Iran During Deadly Coronavirus Disease 2019 (COVID-19) Epidemic: Value of Humanitarian Teleconsultation Service	52
Ovarian-Adnexal Reporting Lexicon for MRI: A White Paper of the ACR Ovarian-Adnexal Reporting and Data Systems MRI Committee	50
Early-Stage Radiology Volume Effects and Considerations with the Coronavirus Disease 2019 (COVID-19) Pandemic: Adaptations, Risks, and Lessons Learned	48
CT and MRI Liver Imaging Reporting and Data System Version 2018 for Hepatocellular Carcinoma: A Systematic Review With Meta-Analysis	47
2019 ACR Commission on Human Resources Workforce Survey	47
Breast Cancer Screening for Women at Higher-Than-Average Risk: Updated Recommendations From the ACR	46
Trends in Gender and Racial Profiles of US Academic Radiology Faculty	45
Gadolinium Deposition Disease: A New Risk Management Threat	44
Operational Strategies to Prevent Coronavirus Disease 2019 (COVID-19) Spread in Radiology: Experience From a Singapore Radiology Department After Severe Acute Respiratory Syndrome	43
The Early Influence and Effects of the Coronavirus Disease 2019 (COVID-19) Pandemic on Resident Education and Adaptations	43
Coronavirus Disease 2019 (COVID-19) and Radiology Education—Strategies for Survival	43

Machine Learning for Automation of Radiology Protocols for Quality and Efficiency Improvement	42
Artificial Intelligence in Screening Mammography: A Population Survey of Women’s Preferences	41
Evaluating GPT as an Adjunct for Radiologic Decision Making: GPT-4 Versus GPT-3.5 in a Breast Imaging Pilot	40
Variables Influencing Radiology Volume Recovery During the Next Phase of the Coronavirus Disease 2019 (COVID-19) Pandemic	37
Transparency and Trust During the Coronavirus Disease 2019 (COVID-19) Pandemic	37
Current Clinical Applications of Artificial Intelligence in Radiology and Their Best Supporting Evidence	37
ACR Appropriateness Criteria® Transgender Breast Cancer Screening	35
ACR Appropriateness Criteria® Supplemental Breast Cancer Screening Based on Breast Density	34
Multi-Institutional Assessment and Crowdsourcing Evaluation of Deep Learning for Automated Classification of Breast Density	33
Diagnostic Accuracy and Failure Mode Analysis of a Deep Learning Algorithm for the Detection of Intracranial Hemorrhage	33