Similar articles for PMID: 37080722

Year	Number of Results
2001	1
2006	1
2008	2
2009	1
2011	1
2013	1
2018	6
2019	12
2020	14
2021	47
2022	44
2023	35

1

Critical Appraisal of Artificial Intelligence-Enabled Imaging Tools Using the Levels of Evidence System.

Pham N, Hill V, Rauschecker A, Lui Y, Niogi S, Fillipi CG, Chang P, Zaharchuk G, Wintermark M. Pham N, et al. AJNR Am J Neuroradiol. 2023 May;44(5):E21-E28. doi: 10.3174/ajnr.A7850. Epub 2023 Apr 20. AJNR Am J Neuroradiol. 2023. PMID: 37080722

2

The future of Cochrane Neonatal.

Soll RF, Ovelman C, McGuire W. Soll RF, et al. Early Hum Dev. 2020 Nov;150:105191. doi: 10.1016/j.earlhumdev.2020.105191. Epub 2020 Sep 12. Early Hum Dev. 2020. PMID: 33036834

3

Evaluation Framework for Successful Artificial Intelligence-Enabled Clinical Decision Support Systems: Mixed Methods Study.

Ji M, Genchev GZ, Huang H, Xu T, Lu H, Yu G. Ji M, et al. J Med Internet Res. 2021 Jun 2;23(6):e25929. doi: 10.2196/25929. J Med Internet Res. 2021. PMID: 34076581 Free PMC article.

4

Delivering personalized medicine in retinal care: from artificial intelligence algorithms to clinical application.

Jill Hopkins J, Keane PA, Balaskas K. Jill Hopkins J, et al. Curr Opin Ophthalmol. 2020 Sep;31(5):329-336. doi: 10.1097/ICU.0000000000000677. Curr Opin Ophthalmol. 2020. PMID: 32740060 Review.

5

Artificial Intelligence Applications in Health Care Practice: Scoping Review.

Sharma M, Savage C, Nair M, Larsson I, Svedberg P, Nygren JM. Sharma M, et al. J Med Internet Res. 2022 Oct 5;24(10):e40238. doi: 10.2196/40238. J Med Internet Res. 2022. PMID: 36197712 Free PMC article. Review.

6

Brain Tumor Imaging: Applications of Artificial Intelligence.

Afridi M, Jain A, Aboian M, Payabvash S. Afridi M, et al. Semin Ultrasound CT MR. 2022 Apr;43(2):153-169. doi: 10.1053/j.sult.2022.02.005. Epub 2022 Feb 11. Semin Ultrasound CT MR. 2022. PMID: 35339256 Free PMC article.

7

Artificial Intelligence Enabling Radiology Reporting.

Bizzo BC, Almeida RR, Alkasab TK. Bizzo BC, et al. Radiol Clin North Am. 2021 Nov;59(6):1045-1052. doi: 10.1016/j.rcl.2021.07.004. Radiol Clin North Am. 2021. PMID: 34689872 Review.

8

Recommendations to overcome barriers to the use of artificial intelligence-driven evidence in health technology assessment.

Zemplényi A, Tachkov K, Balkanyi L, Németh B, Petykó ZI, Petrova G, Czech M, Dawoud D, Goettsch W, Gutierrez Ibarluzea I, Hren R, Knies S, Lorenzovici L, Maravic Z, Piniazhko O, Savova A, Manova M, Tesar T, Zerovnik S, Kaló Z. Zemplényi A, et al. Front Public Health. 2023 Apr 26;11:1088121. doi: 10.3389/fpubh.2023.1088121. eCollection 2023. Front Public Health. 2023. PMID: 37181704 Free PMC article.

9

Knowledge, perceptions, and expectations of Artificial intelligence in radiography practice: A global radiography workforce survey.

Akudjedu TN, Torre S, Khine R, Katsifarakis D, Newman D, Malamateniou C. Akudjedu TN, et al. J Med Imaging Radiat Sci. 2023 Mar;54(1):104-116. doi: 10.1016/j.jmir.2022.11.016. Epub 2022 Dec 18. J Med Imaging Radiat Sci. 2023. PMID: 36535859 Free article.

10

Methodologic Guide for Evaluating Clinical Performance and Effect of Artificial Intelligence Technology for Medical Diagnosis and Prediction.

Park SH, Han K. Park SH, et al. Radiology. 2018 Mar;286(3):800-809. doi: 10.1148/radiol.2017171920. Epub 2018 Jan 8. Radiology. 2018. PMID: 29309734 Review.

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