Informally, I classed each paper in the broad (and fuzzy) categories of (1) radiology business & finance, (2) implementation and operations, (3) performance and clinical reports, (4) AI and people, such as "How Residents View AI,"), and (5) FDA or basic developmental & science. This yielded:
(1) #22 titles classed as "business,"
(2) #40 titles classed as "implementation,"
(3) #14 titles classed as performance & clinical reports,
(4) #27 titles classed as focusing on "AI and People,"
(5) #8 titles directly citing to FDA or basic science.
These are fuzzy classifications but still allow some general grouping of topics.
22 TITLES CLASSED AS "BUSINESS"
Trivedi, H. (2022). "The Business of Artificial Intelligence in Radiology Has Little to Do With Radiologists." J Am Coll Radiol.
Gish, D. S., et al. (2021). "Retrospective Evaluation of Artificial Intelligence Leveraging Free-Text Imaging Order Entry to Facilitate Federally Required Clinical Decision Support." J Am Coll Radiol 18(11): 1476-1484.
Puri, P. and S. Jha (2021). "Artificial Intelligence, Automation, and Medical Education: Lessons From Economic History." J Am Coll Radiol 18(9): 1345-1347.
Adams, S. J., et al. (2021). "Development and Cost Analysis of a Lung Nodule Management Strategy Combining Artificial Intelligence and Lung-RADS for Baseline Lung Cancer Screening." J Am Coll Radiol 18(5): 741-751.
Rajiah, P. and P. Bhargava (2021). "Leadership Lessons From Equity Theory: The Interplay Between Radiologist Compensation and Motivation." J Am Coll Radiol 18(1 Pt B): 211-213.
Smith, J., et al. (2021). "The Age of Artificial Intelligence: Does "Why" Still Matter?" J Am Coll Radiol 18(1 Pt A): 87-89.
Filice, R. W., et al. (2020). "Evaluating Artificial Intelligence Systems to Guide Purchasing Decisions." J Am Coll Radiol 17(11): 1405-1409.
Sigler, R., et al. (2020). "The Importance of Data Analytics and Business Intelligence for Radiologists." J Am Coll Radiol 17(4): 511-514.
Allen, B., et al. (2020). "Integrating Artificial Intelligence Into Radiologic Practice: A Look to the Future." J Am Coll Radiol 17(2): 280-283.
Mayo, R. C., et al. (2020). "Financing Artificial Intelligence in Medical Imaging: Show Me the Money." J Am Coll Radiol 17(1 Pt B): 175-177.
Browning, T., et al. (2020). "Special Considerations for Integrating Artificial Intelligence Solutions in Urban Safety-Net Hospitals." J Am Coll Radiol 17(1 Pt B): 171-174.
Alexander, A., et al. (2020). "An Intelligent Future for Medical Imaging: A Market Outlook on Artificial Intelligence for Medical Imaging." J Am Coll Radiol 17(1 Pt B): 165-170.
Golding, L. P. and G. N. Nicola (2019). "A Business Case for Artificial Intelligence Tools: The Currency of Improved Quality and Reduced Cost." J Am Coll Radiol 16(9 Pt B): 1357-1361.
MartÃn Noguerol, T., et al. (2019). "Strengths, Weaknesses, Opportunities, and Threats Analysis of Artificial Intelligence and Machine Learning Applications in Radiology." J Am Coll Radiol 16(9 Pt B): 1239-1247.
Mazurowski, M. A. (2019). "Artificial Intelligence May Cause a Significant Disruption to the Radiology Workforce." J Am Coll Radiol 16(8): 1077-1082.
Alexander, A., et al. (2019). "Scanning the Future of Medical Imaging." J Am Coll Radiol 16(4 Pt A): 501-507.
Schoppe, K. (2018). "Artificial Intelligence: Who Pays and How?" J Am Coll Radiol 15(9): 1240-1242.
Nguyen, G. K. and A. S. Shetty (2018). "Artificial Intelligence and Machine Learning: Opportunities for Radiologists in Training." J Am Coll Radiol 15(9): 1320-1321.
Dreyer, K. and B. Allen (2018). "Artificial Intelligence in Health Care: Brave New World or Golden Opportunity?" J Am Coll Radiol 15(4): 655-657.
King, B. F., Jr. (2018). "Artificial Intelligence and Radiology: What Will the Future Hold?" J Am Coll Radiol 15(3 Pt B): 501-503.
Kirk, I. R., et al. (2018). "The Triumph of the Machines." J Am Coll Radiol 15(3 Pt B): 587-588.
Recht, M. and R. N. Bryan (2017). "Artificial Intelligence: Threat or Boon to Radiologists?" J Am Coll Radiol 14(11): 1476-1480.
40 TITLES CLASSED AS "IMPLEMENTATION"
Alkasab, T. K. and B. C. Bizzo (2022). "Response to Drs Sammer, Sher, and Seghers' Letter on "Lessons Learned From the Front Lines of Artificial Intelligence Implementation"." J Am Coll Radiol.
Sammer, M. B. K., et al. (2022). "Re: "Lessons Learned From the Front Lines of Artificial Intelligence Implementation"." J Am Coll Radiol.
Benjamin, M., et al. (2021). "Accelerating Development and Clinical Deployment of Diagnostic Imaging Artificial Intelligence." J Am Coll Radiol 18(11): 1514-1516.
Alkasab, T. K. and B. C. Bizzo (2021). "Lessons Learned From the Front Lines of Artificial Intelligence Implementation." J Am Coll Radiol 18(11): 1474-1475.
Bizzo, B. C., et al. (2021). "Data Management in Artificial Intelligence-Assisted Radiology Reporting." J Am Coll Radiol 18(11): 1485-1488.
Tartar, M., et al. (2021). "Artificial Intelligence Support for Mammography: In-Practice Clinical Experience." J Am Coll Radiol 18(11): 1510-1513.
Allen, B., et al. (2021). "Evaluation and Real-World Performance Monitoring of Artificial Intelligence Models in Clinical Practice: Try It, Buy It, Check It." J Am Coll Radiol 18(11): 1489-1496.
Jain, R. (2021). "Introducing Artificial Intelligence Applications at Our Community Hospital: A Contrarian Approach." J Am Coll Radiol 18(11): 1506-1509.
Pierce, J. D., et al. (2021). "Seamless Integration of Artificial Intelligence Into the Clinical Environment: Our Experience With a Novel Pneumothorax Detection Artificial Intelligence Algorithm." J Am Coll Radiol 18(11): 1497-1505.
Weisberg, E. M., et al. (2021). "Using Artificial Intelligence to Interpret CT Scans: Getting Closer to Standard of Care." J Am Coll Radiol 18(11): 1569-1571.
Allen, B., et al. (2021). "2020 ACR Data Science Institute Artificial Intelligence Survey." J Am Coll Radiol 18(8): 1153-1159.
Tejani, A. S. (2021). "Identifying and Addressing Barriers to an Artificial Intelligence Curriculum." J Am Coll Radiol 18(4): 605-607.
Lui, Y. W., et al. (2020). "How to Implement AI in the Clinical Enterprise: Opportunities and Lessons Learned." J Am Coll Radiol 17(11): 1394-1397.
Tariq, A., et al. (2020). "Current Clinical Applications of Artificial Intelligence in Radiology and Their Best Supporting Evidence." J Am Coll Radiol 17(11): 1371-1381.
Kapoor, N., et al. (2020). "Workflow Applications of Artificial Intelligence in Radiology and an Overview of Available Tools." J Am Coll Radiol 17(11): 1363-1370.
Kottler, N. (2020). "Artificial Intelligence: A Private Practice Perspective." J Am Coll Radiol 17(11): 1398-1404.
Fleishon, H. B. and C. Wald (2020). "Patient Safety: Considerations for Artificial Intelligence Implementation in Radiology." J Am Coll Radiol 17(10): 1192-1193.
Enzmann, D. R., et al. (2020). "Radiology's Information Architecture Could Migrate to One Emulating That of Smartphones." J Am Coll Radiol 17(10): 1299-1306.
Woloshyn, O., et al. (2020). "Found in Translation: Unpacking the Artificial Intelligence Revolution That Has Already Arrived." J Am Coll Radiol 17(10): 1307-1308.
Montaque, T., et al. (2020). "The Future of Digital Communication: Improved Messaging Context, Artificial Intelligence, and Your Privacy." J Am Coll Radiol 17(6): 821-823.
Valtchinov, V. I., et al. (2020). "Comparing Artificial Intelligence Approaches to Retrieve Clinical Reports Documenting Implantable Devices Posing MRI Safety Risks." J Am Coll Radiol 17(2): 272-279.
Geis, J. R., et al. (2019). "Ethics of Artificial Intelligence in Radiology: Summary of the Joint European and North American Multisociety Statement." J Am Coll Radiol 16(11): 1516-1521.
Kohli, M., et al. (2019). "Bending the Artificial Intelligence Curve for Radiology: Informatics Tools From ACR and RSNA." J Am Coll Radiol 16(10): 1464-1470.
Bizzo, B. C., et al. (2019). "Artificial Intelligence and Clinical Decision Support for Radiologists and Referring Providers." J Am Coll Radiol 16(9 Pt B): 1351-1356.
Akkus, Z., et al. (2019). "A Survey of Deep-Learning Applications in Ultrasound: Artificial Intelligence-Powered Ultrasound for Improving Clinical Workflow." J Am Coll Radiol 16(9 Pt B): 1318-1328.
Pillai, M., et al. (2019). "Using Artificial Intelligence to Improve the Quality and Safety of Radiation Therapy." J Am Coll Radiol 16(9 Pt B): 1267-1272.
Makeeva, V., et al. (2019). "The Application of Machine Learning to Quality Improvement Through the Lens of the Radiology Value Network." J Am Coll Radiol 16(9 Pt B): 1254-1258.
Luh, J. Y., et al. (2019). "Clinical Documentation and Patient Care Using Artificial Intelligence in Radiation Oncology." J Am Coll Radiol 16(9 Pt B): 1343-1346.
Sensakovic, W. F. and M. Mahesh (2019). "Role of the Medical Physicist in the Health Care Artificial Intelligence Revolution." J Am Coll Radiol 16(3): 393-394.
Powell, K., et al. (2019). "What Health Care Can Learn From Self-Driving Vehicles." J Am Coll Radiol 16(2): 261-263.
Allen, B. (2018). "How Structured Use Cases Can Drive the Adoption of Artificial Intelligence Tools in Clinical Practice." J Am Coll Radiol 15(12): 1758-1760.
Allen, B. and K. Dreyer (2018). "The Artificial Intelligence Ecosystem for the Radiological Sciences: Ideas to Clinical Practice." J Am Coll Radiol 15(10): 1455-1457.
Sana, M. (2018). "Machine Learning and Artificial Intelligence in Radiology." J Am Coll Radiol 15(8): 1139-1142.
Schier, R. (2018). "Artificial Intelligence and the Practice of Radiology: An Alternative View." J Am Coll Radiol 15(7): 1004-1007.
Yi, P. H., et al. (2018). "Artificial Intelligence and Radiology: Collaboration Is Key." J Am Coll Radiol 15(5): 781-783.
Brink, J. A. (2018). "Artificial Intelligence for Operations: The Untold Story." J Am Coll Radiol 15(3 Pt A): 375-377.
Thrall, J. H., et al. (2018). "Artificial Intelligence and Machine Learning in Radiology: Opportunities, Challenges, Pitfalls, and Criteria for Success." J Am Coll Radiol 15(3 Pt B): 504-508.
McGinty, G. B. and B. Allen, Jr. (2018). "The ACR Data Science Institute and AI Advisory Group: Harnessing the Power of Artificial Intelligence to Improve Patient Care." J Am Coll Radiol 15(3 Pt B): 577-579.
Giger, M. L. (2018). "Machine Learning in Medical Imaging." J Am Coll Radiol 15(3 Pt B): 512-520.
Lakhani, P., et al. (2018). "Machine Learning in Radiology: Applications Beyond Image Interpretation." J Am Coll Radiol 15(2): 350-359.
14 TITLES CLASSED AS PERFORMANCE OR CLINICAL REPORTS
Banja, J. D., et al. (2022). "When Artificial Intelligence Models Surpass Physician Performance: Medical Malpractice Liability in an Era of Advanced Artificial Intelligence." J Am Coll Radiol.
Anderson, A. W., et al. (2022). "Independent External Validation of Artificial Intelligence Algorithms for Automated Interpretation of Screening Mammography: A Systematic Review." J Am Coll Radiol 19(2 Pt A): 259-273.
Voter, A. F., et al. (2021). "Diagnostic Accuracy and Failure Mode Analysis of a Deep Learning Algorithm for the Detection of Intracranial Hemorrhage." J Am Coll Radiol 18(8): 1143-1152.
Wildman-Tobriner, B., et al. (2021). "Missed Incidental Pulmonary Embolism: Harnessing Artificial Intelligence to Assess Prevalence and Improve Quality Improvement Opportunities." J Am Coll Radiol 18(7): 992-999.
Purkayastha, S., et al. (2021). "Failures Hiding in Success for Artificial Intelligence in Radiology." J Am Coll Radiol 18(3 Pt B): 517-519.
Goehler, A., et al. (2020). "Three-Dimensional Neural Network to Automatically Assess Liver Tumor Burden Change on Consecutive Liver MRIs." J Am Coll Radiol 17(11): 1475-1484.
Kambadakone, A. (2020). "Artificial Intelligence and CT Image Reconstruction: Potential of a New Era in Radiation Dose Reduction." J Am Coll Radiol 17(5): 649-651.
Pisano, E. D. and L. R. Garnett (2019). "Big Data and Radiology Research." J Am Coll Radiol 16(9 Pt B): 1347-1350.
Vey, B. L., et al. (2019). "The Role of Generative Adversarial Networks in Radiation Reduction and Artifact Correction in Medical Imaging." J Am Coll Radiol 16(9 Pt B): 1273-1278.
Larson, D. B. and G. W. Boland (2019). "Imaging Quality Control in the Era of Artificial Intelligence." J Am Coll Radiol 16(9 Pt B): 1259-1266.
Filice, R. W. (2019). "Deep-Learning Language-Modeling Approach for Automated, Personalized, and Iterative Radiology-Pathology Correlation." J Am Coll Radiol 16(9 Pt B): 1286-1291.
Feng, Q. X., et al. (2019). "An Intelligent Clinical Decision Support System for Preoperative Prediction of Lymph Node Metastasis in Gastric Cancer." J Am Coll Radiol 16(7): 952-960.
Ghosh, A. (2019). "Artificial Intelligence Using Open Source BI-RADS Data Exemplifying Potential Future Use." J Am Coll Radiol 16(1): 64-72.
Syeda-Mahmood, T. (2018). "Role of Big Data and Machine Learning in Diagnostic Decision Support in Radiology." J Am Coll Radiol 15(3 Pt B): 569-576.
27 TITLES AS "AI AND PEOPLE"
Burdorf, B. T. (2021). "A Prospective Applicant's Outlook on Radiology in Light of Artificial Intelligence." J Am Coll Radiol 18(7): 893.
Chonde, D. B., et al. (2021). "RadTranslate: An Artificial Intelligence-Powered Intervention for Urgent Imaging to Enhance Care Equity for Patients With Limited English Proficiency During the COVID-19 Pandemic." J Am Coll Radiol 18(7): 1000-1008.
Weisberg, E. M., et al. (2021). "Man Versus Machine? Radiologists and Artificial Intelligence Work Better Together." J Am Coll Radiol 18(6): 887-889.
Kotsenas, A. L., et al. (2021). "Rethinking Patient Consent in the Era of Artificial Intelligence and Big Data." J Am Coll Radiol 18(1 Pt B): 180-184.
Thrall, J. H., et al. (2021). "Rethinking the Approach to Artificial Intelligence for Medical Image Analysis: The Case for Precision Diagnosis." J Am Coll Radiol 18(1 Pt B): 174-179.
Ongena, Y. P., et al. (2021). "Artificial Intelligence in Screening Mammography: A Population Survey of Women's Preferences." J Am Coll Radiol 18(1 Pt A): 79-86.
Slanetz, P. J., et al. (2020). "Artificial Intelligence and Machine Learning in Radiology Education Is Ready for Prime Time." J Am Coll Radiol 17(12): 1705-1707.
Bhatia, N., et al. (2020). "Artificial Intelligence in Quality Improvement: Reviewing Uses of Artificial Intelligence in Noninterpretative Processes from Clinical Decision Support to Education and Feedback." J Am Coll Radiol 17(11): 1382-1387.
Simpson, S. A. and T. S. Cook (2020). "Artificial Intelligence and the Trainee Experience in Radiology." J Am Coll Radiol 17(11): 1388-1393.
Fishman, E. K., et al. (2020). "Mapping Your Career in the Era of Artificial Intelligence: It's Up to You, Not Google." J Am Coll Radiol 17(11): 1537-1538.
Chu, L. C., et al. (2020). "The Potential Dangers of Artificial Intelligence for Radiology and Radiologists." J Am Coll Radiol 17(10): 1309-1311.
Lotan, E., et al. (2020). "Medical Imaging and Privacy in the Era of Artificial Intelligence: Myth, Fallacy, and the Future." J Am Coll Radiol 17(9): 1159-1162.
Adams, S. J., et al. (2020). "Patient Perspectives and Priorities Regarding Artificial Intelligence in Radiology: Opportunities for Patient-Centered Radiology." J Am Coll Radiol 17(8): 1034-1036.
Fernandez, C., et al. (2020). "Feasibility and Impact of Emotional Intelligence Evaluation in Radiation Oncology Residency Interviews." J Am Coll Radiol 17(2): 289-292.
Burdorf, B. (2019). "A Medical Student's Outlook on Radiology in Light of Artificial Intelligence." J Am Coll Radiol 16(11): 1514-1515.
Allen, B., Jr. (2019). "Machine Learning With Deep Neural Nets Artificially Augmenting My Intelligence in a Narrow but Occasionally Superhuman Kind of Way." J Am Coll Radiol 16(10): 1480-1481.
Haan, M., et al. (2019). "A Qualitative Study to Understand Patient Perspective on the Use of Artificial Intelligence in Radiology." J Am Coll Radiol 16(10): 1416-1419.
Rubin, D. L. (2019). "Artificial Intelligence in Imaging: The Radiologist's Role." J Am Coll Radiol 16(9 Pt B): 1309-1317.
Filice, R. W. (2019). "Radiology-Pathology Correlation to Facilitate Peer Learning: An Overview Including Recent Artificial Intelligence Methods." J Am Coll Radiol 16(9 Pt B): 1279-1285.
Pfeifer, C. M. (2019). "Limitations of Ascribing Autonomy, Purpose, and Mastery as Primary Physician Motivators." J Am Coll Radiol 16(9 Pt A): 1130-1131.
Allen, B., et al. (2019). "Democratizing AI." J Am Coll Radiol 16(7): 961-963.
Allen, B. and K. Dreyer (2019). "The Role of the ACR Data Science Institute in Advancing Health Equity in Radiology." J Am Coll Radiol 16(4 Pt B): 644-648.
McIntosh-Clarke, D. R., et al. (2019). "Incentivizing Physician Diversity in Radiology." J Am Coll Radiol 16(4 Pt B): 624-630.
Wang, S. S., et al. (2019). "The Resilient Radiologist: You Will Still Feel the Burn." J Am Coll Radiol 16(4 Pt A): 523-525.
Collado-Mesa, F., et al. (2018). "The Role of Artificial Intelligence in Diagnostic Radiology: A Survey at a Single Radiology Residency Training Program." J Am Coll Radiol 15(12): 1753-1757.
Kohli, M. and R. Geis (2018). "Ethics, Artificial Intelligence, and Radiology." J Am Coll Radiol 15(9): 1317-1319.
Balthazar, P., et al. (2018). "Protecting Your Patients' Interests in the Era of Big Data, Artificial Intelligence, and Predictive Analytics." J Am Coll Radiol 15(3 Pt B): 580-586.
8 TITLES AS FDA, BASIC SCIENCE POLICY, OR OTHER
Dreyer, K. J., et al. (2022). "Real-World Surveillance of FDA-Cleared Artificial Intelligence Models: Rationale and Logistics." J Am Coll Radiol 19(2 Pt A): 274-277.
Strand, F., et al. (2021). "A Call for Controlled Validation Data Sets: Promoting the Safe Introduction of Artificial Intelligence in Breast Imaging." J Am Coll Radiol 18(11): 1564-1565.
Larson, D. B., et al. (2021). "Regulatory Frameworks for Development and Evaluation of Artificial Intelligence-Based Diagnostic Imaging Algorithms: Summary and Recommendations." J Am Coll Radiol 18(3 Pt A): 413-424.
Allen, B., Jr., et al. (2019). "A Road Map for Translational Research on Artificial Intelligence in Medical Imaging: From the 2018 National Institutes of Health/RSNA/ACR/The Academy Workshop." J Am Coll Radiol 16(9 Pt A): 1179-1189.
Harrington, S. G. and M. K. Johnson (2019). "The FDA and Artificial Intelligence in Radiology: Defining New Boundaries." J Am Coll Radiol 16(5): 743-744.
Allen, B. (2019). "The Role of the FDA in Ensuring the Safety and Efficacy of Artificial Intelligence Software and Devices." J Am Coll Radiol 16(2): 208-210.
Carlos, R. C., et al. (2018). "Data Science: Big Data, Machine Learning, and Artificial Intelligence." J Am Coll Radiol 15(3 Pt B): 497-498.
Jha, S. and E. J. Topol (2018). "Information and Artificial Intelligence." J Am Coll Radiol 15(3 Pt B): 509-511.
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