111 Titles on AI/ML from JACR (February 2022)

PubMed search for journal JACR, and keyword "intelligence," 111 titles screened by hand and provided below.  NBIB format machine file in cloud here.

Main blog here:

http://www.discoveriesinhealthpolicy.com/2022/03/digital-pathology-triangulating-path-by.html

Trivedi, H. (2022). "The Business of Artificial Intelligence in Radiology Has Little to Do With Radiologists." J Am Coll Radiol.

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.

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.

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.

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.

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.

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.

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.

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.

Puri, P. and S. Jha (2021). "Artificial Intelligence, Automation, and Medical Education: Lessons From Economic History." J Am Coll Radiol 18(9): 1345-1347.

Allen, B., et al. (2021). "2020 ACR Data Science Institute Artificial Intelligence Survey." J Am Coll Radiol 18(8): 1153-1159.

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.

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.

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.

Weisberg, E. M., et al. (2021). "Man Versus Machine? Radiologists and Artificial Intelligence Work Better Together." J Am Coll Radiol 18(6): 887-889.

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.

Tejani, A. S. (2021). "Identifying and Addressing Barriers to an Artificial Intelligence Curriculum." J Am Coll Radiol 18(4): 605-607.

Purkayastha, S., et al. (2021). "Failures Hiding in Success for Artificial Intelligence in Radiology." J Am Coll Radiol 18(3 Pt B): 517-519.

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.

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.

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.

Smith, J., et al. (2021). "The Age of Artificial Intelligence: Does "Why" Still Matter?" J Am Coll Radiol 18(1 Pt A): 87-89.

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.

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.

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.

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.

Filice, R. W., et al. (2020). "Evaluating Artificial Intelligence Systems to Guide Purchasing Decisions." J Am Coll Radiol 17(11): 1405-1409.

Kottler, N. (2020). "Artificial Intelligence: A Private Practice Perspective." J Am Coll Radiol 17(11): 1398-1404.

Simpson, S. A. and T. S. Cook (2020). "Artificial Intelligence and the Trainee Experience in Radiology." J Am Coll Radiol 17(11): 1388-1393.

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.

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.

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.

Chu, L. C., et al. (2020). "The Potential Dangers of Artificial Intelligence for Radiology and Radiologists." J Am Coll Radiol 17(10): 1309-1311.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

Pisano, E. D. and L. R. Garnett (2019). "Big Data and Radiology Research." J Am Coll Radiol 16(9 Pt B): 1347-1350.

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.

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.

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.

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.

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.

Martín 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.

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.

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.

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.

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.

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.

Mazurowski, M. A. (2019). "Artificial Intelligence May Cause a Significant Disruption to the Radiology Workforce." J Am Coll Radiol 16(8): 1077-1082.

Allen, B., et al. (2019). "Democratizing AI." J Am Coll Radiol 16(7): 961-963.

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.

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. 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.

Alexander, A., et al. (2019). "Scanning the Future of Medical Imaging." J Am Coll Radiol 16(4 Pt A): 501-507.

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.

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.

Powell, K., et al. (2019). "What Health Care Can Learn From Self-Driving Vehicles." J Am Coll Radiol 16(2): 261-263.

Ghosh, A. (2019). "Artificial Intelligence Using Open Source BI-RADS Data Exemplifying Potential Future Use." J Am Coll Radiol 16(1): 64-72.

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.

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.

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.

Schoppe, K. (2018). "Artificial Intelligence: Who Pays and How?" J Am Coll Radiol 15(9): 1240-1242.

Kohli, M. and R. Geis (2018). "Ethics, Artificial Intelligence, and Radiology." J Am Coll Radiol 15(9): 1317-1319.

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.

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.

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.

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.

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.

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.

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.

Jha, S. and E. J. Topol (2018). "Information and Artificial Intelligence." J Am Coll Radiol 15(3 Pt B): 509-511.

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.

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.

Lakhani, P., et al. (2018). "Machine Learning in Radiology: Applications Beyond Image Interpretation." J Am Coll Radiol 15(2): 350-359.

Recht, M. and R. N. Bryan (2017). "Artificial Intelligence: Threat or Boon to Radiologists?" J Am Coll Radiol 14(11): 1476-1480.