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EditorialEditorial

The Future of Artificial Intelligence in Clinical Radiology: Savior or False Hope?

Greg Zaharchuk and Janet Mei
American Journal of Neuroradiology December 2024, 45 (12) 1838-1844; DOI: https://doi.org/10.3174/ajnr.A8550
Greg Zaharchuk
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Janet Mei
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References

  1. 1.↵
    Why scan-reading artificial intelligence is bad news for radiologists. November 29, 2017. The Economist. https://www.economist.com/free-exchange/2017/11/29/why-scan-reading-artificial-intelligence-is-bad-news-for-radiologists.
  2. 2.↵
    1. Anzai Y,
    2. Heilbrun ME,
    3. Haas D, et al
    . Dissecting costs of CT study: application of TDABC (time-driven activity-based costing) in a tertiary academic center. Acad Radiol 2017;24:200–08 doi:10.1016/j.acra.2016.11.001 pmid:27988200
    CrossRefPubMed
  3. 3.↵
    1. Voter AF,
    2. Larson ME,
    3. Garrett JW, et al
    . Diagnostic accuracy and failure mode analysis of a deep learning algorithm for the detection of cervical spine fractures. AJNR Am J Neuroradiol 2021;42:1550–56 doi:10.3174/ajnr.A7179 pmid:34117018
    Abstract/FREE Full Text
  4. 4.↵
    1. Savage CH,
    2. Tanwar M,
    3. Elkassem AA, et al
    . Prospective evaluation of artificial intelligence triage of intracranial hemorrhage on noncontrast head CT examinations. AJR Am J Roentgenol 2024 Sep 4. [Epub ahead of print] doi:10.2214/AJR.24.31639 pmid:39230402
    CrossRefPubMed
  5. 5.↵
    1. Arbabshirani MR,
    2. Fornwalt BK,
    3. Mongelluzzo GJ, et al
    . Advanced machine learning in action: identification of intracranial hemorrhage on computed tomography scans of the head with clinical workflow integration. NPJ Digit Med 2018;1:9 doi:10.1038/s41746-017-0015-z pmid:31304294
    CrossRefPubMed
  6. 6.↵
    1. Del Gaizo AJ,
    2. Osborne TF,
    3. Shahoumian T, et al
    . Deep learning to detect intracranial hemorrhage in a national teleradiology program and the impact on interpretation time. Radiology Artif Intell 2024;6:e240067 doi:10.1148/ryai.240067 pmid:39017032
    CrossRefPubMed
  7. 7.↵
    1. Thawkar O,
    2. Shaker A,
    3. Mullappilly SS, et al
    . XrayGPT: chest radiographs summarization using medical vision-language models. arXiv.org 2023. https://arxiv.org/abs/2306.07971v1.
  8. 8.↵
    1. Yang L,
    2. Xu S,
    3. Sellergren A, et al
    . Advancing multimodal medical capabilities of Gemini. arXiv.org 2024. https://arxiv.org/abs/2405.03162v1.
  9. 9.↵
    1. Blankemeier L,
    2. Cohen JP,
    3. Kumar A, et al
    . Merlin: a vision language foundation model for 3D computed tomography. arXiv.org 2024. https://arxiv.org/abs/2406.06512v1.
  10. 10.↵
    1. Ney E,
    2. Berger E
    . Patients are more comfortable with AI making diagnoses than answering the phone at their doctor’s office, but overwhelmingly concerns persist. Survery Bain & Company 2024. https://www.bain.com/about/media-center/press-releases/2024/patients-are-more-comfortable-with-ai-making-diagnoses-than-answering-the-phone-at-their-doctors-office-but-overwhelmingly-concerns-persist/.
  11. 11.↵
    1. Tu LH,
    2. Malhotra A,
    3. Venkatesh AK, et al
    . Head and neck CTA utilization: analysis of ordering frequency and nonroutine results communication, with focus on the 50 most common emergency department clinical presentations. AJR Am J Roentgenol 2022;218:544–51 doi:10.2214/AJR.21.26543 pmid:34585611
    CrossRefPubMed
  12. 12.↵
    1. Tung M,
    2. Sharma R,
    3. Hinson JS, et al
    . Factors associated with imaging overuse in the emergency department: a systematic review. Am J Emerg Med 2018;36:301–09 doi:10.1016/j.ajem.2017.10.049 pmid:29100783
    CrossRefPubMed
  13. 13.↵
    1. Mehan WA,
    2. Shin D,
    3. Buch K
    . Effect of provider type on overutilization of CT angiograms of the head and neck for patients presenting to the emergency department with nonfocal neurologic symptoms. J Am Coll Radiol 2024;21:890–95 doi:10.1016/j.jacr.2023.08.042 pmid:37722466
    CrossRefPubMed
  14. 14.↵
    1. Lew M,
    2. Wilbur DC,
    3. Pantanowitz L
    . Computational cytology: lessons learned from pap test computer-assisted screening. Acta Cytol 2021;65:286–300 doi:10.1159/000508629 pmid:32694246
    CrossRefPubMed
  15. 15.↵
    American College of Radiology. Thinking about AI. 2024. https://www.acr.org/Practice-Management-Quality-Informatics/ACR-Bulletin/Articles/June-2021/Thinking-About-AI.
  16. 16.↵
    1. Bernstein MH,
    2. Atalay MK,
    3. Dibble EH, et al
    . Can incorrect artificial intelligence (AI) results impact radiologists, and if so, what can we do about it? A multi-reader pilot study of lung cancer detection with chest radiography. Eur Radiol 2023;33:8263–69 doi:10.1007/s00330-023-09747-1 pmid:37266657
    CrossRefPubMed
  17. 17.↵
    1. Brady AP,
    2. Allen B,
    3. Chong J, et al
    . Developing, Purchasing, Implementing and Monitoring AI Tools in Radiology: Practical Considerations—A Multi-Society Statement from the ACR, CAR, ESR, RANZCR and RSNA. Radiol Artif Intell 2024;6:e230513 doi:10.1148/ryai.230513 pmid:38251899
    CrossRefPubMed
  18. 18.↵
    1. Sami F
    . TeleRadiology Scribing in Action. YouTube 2020 Nov 6. https://www.youtube.com/watch?v=Uvc9opoZs7A.
  19. 19.↵
    1. Tierney AA,
    2. Gayre G,
    3. Hoberman B, et al
    . Ambient artificial intelligence scribes to alleviate the burden of clinical documentation. N Engl J Med Catal 2024;5 doi:10.1056/CAT.23.0404
    CrossRef
  20. 20.↵
    1. Geis JR
    . Medical imaging informatics: how it improves radiology practice today. J Digit Imaging 2007;20:99–104 doi:10.1007/s10278-007-9010-2 pmid:17505868
    CrossRefPubMedWeb of Science
  21. 21.↵
    1. Arnold TC,
    2. Duffy B,
    3. Zaharchuk G, et al
    . Harmonization of Longitudinal Multicenter Imaging Data Through Natural Language Processing and Brain Alignment Algorithms. In: Proceedings of the Annual Meeting of the American Society of Neuroradiology. May 18–22, 2024. Las Vegas, Nevada; 466
  22. 22.↵
    1. Kim M,
    2. Kim HS,
    3. Kim HJ, et al
    . Thin-slice pituitary MRI with deep learning-based reconstruction: diagnostic performance in a postoperative setting. Radiology 2021;298:114–122 doi:10.1148/radiol.2020200723 pmid:33141001
    CrossRefPubMed
  23. 23.↵
    1. Bash S,
    2. Wang L,
    3. Airriess C, et al
    . Deep learning enables 60% accelerated volumetric brain MRI while preserving quantitative performance: a prospective, multicenter, multireader trial. AJNR Am J Neuroradiol 2021;42:2130–37 doi:10.3174/ajnr.A7358 pmid:34824098
    Abstract/FREE Full Text
  24. 24.↵
    1. Heye T,
    2. Knoerl R,
    3. Wehrle T, et al
    . The energy consumption of radiology: energy- and cost-saving opportunities for CT and MRI operation. Radiology 2020;295:593–605 doi:10.1148/radiol.2020192084 pmid:32208096
    CrossRefPubMed
  25. 25.↵
    1. Duffy BA,
    2. Zhao L,
    3. Sepehrband F, et al
    ; Alzheimer’s Disease Neuroimaging Initiative. Retrospective motion artifact correction of structural MRI images using deep learning improves the quality of cortical surface reconstructions. Neuroimage 2021;230:117756 doi:10.1016/j.neuroimage.2021.117756 pmid:33460797
    CrossRefPubMed
  26. 26.↵
    1. Tanenbaum LN,
    2. Bash SC,
    3. Zaharchuk G, et al
    . Deep learning-generated synthetic MR imaging STIR spine images are superior in image quality and diagnostically equivalent to conventional STIR: a multicenter, multireader trial. AJNR Am J Neuroradiol 2023;44:987–93 doi:10.3174/ajnr.A7920 pmid:37414452
    Abstract/FREE Full Text
  27. 27.↵
    1. Radmanesh A,
    2. Muckley MJ,
    3. Murrell T, et al
    . Exploring the acceleration limits of deep learning variational network-based two-dimensional brain MRI. Radiol Artif Intell 2022;4:e210313 doi:10.1148/ryai.210313 pmid:36523647
    CrossRefPubMed
  28. 28.↵
    1. White T,
    2. Aronson MD,
    3. Sternberg SB, et al
    . Analysis of radiology report recommendation characteristics and rate of recommended action performance. JAMA Netw Open 2022;5:e2222549 doi:10.1001/jamanetworkopen.2022.22549 pmid:35867062
    CrossRefPubMed
  29. 29.↵
    1. Hoang JK,
    2. Langer JE,
    3. Middleton WD, et al
    . Managing incidental thyroid nodules detected on imaging: white paper of the ACR Incidental Thyroid Findings Committee. J Am Coll Radiol 2015;12:143–50 doi:10.1016/j.jacr.2014.09.038 pmid:25456025
    CrossRefPubMed
  30. 30.↵
    1. Pickhardt P,
    2. Summers R,
    3. Garrett J, et al
    . Opportunistic screening: Radiology Scientific Expert Panel. Radiology 2023;307:e222044 doi:10.1148/radiol.222044 pmid:37219444
    CrossRefPubMed
  31. 31.
    1. Lyu Q,
    2. Tan J,
    3. Zapadka ME, et al
    . Translating radiology reports into plain language using ChatGPT and GPT-4 with prompt learning: results, limitations, and potential. Vis Comput Ind Biomed Art 2023;6:9 doi:10.1186/s42492-023-00136-5 pmid:37198498
    CrossRefPubMed
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American Journal of Neuroradiology: 45 (12)
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Greg Zaharchuk, Janet Mei
The Future of Artificial Intelligence in Clinical Radiology: Savior or False Hope?
American Journal of Neuroradiology Dec 2024, 45 (12) 1838-1844; DOI: 10.3174/ajnr.A8550

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The Future of Artificial Intelligence in Clinical Radiology: Savior or False Hope?
Greg Zaharchuk, Janet Mei
American Journal of Neuroradiology Dec 2024, 45 (12) 1838-1844; DOI: 10.3174/ajnr.A8550
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