Artificial intelligence and radiology – Where are we headed?
Vol. 11 No. 4 (2022), Editorial
Vol. 11 No. 4 (2022)

Artificial intelligence and radiology – Where are we headed?

Editorial
Published 2023-01-01
Ashik Rajak
Deputy Managing Editor, Journal of Kathmandu Medical College, Kathmandu Medical College Teaching Hospital, Sinamangal, Kathmandu, Nepal
Narayan Bikram Thapa
Professor and Head of Department, Department of Radiology, Kathmandu Medical College Teaching Hospital, Sinamangal, Kathmandu, Nepal
PDF

Keywords

Artificial intelligence
Radiology

How to Cite

Rajak, A., & Thapa, N. B. (2023). Artificial intelligence and radiology – Where are we headed?. Journal of Kathmandu Medical College, 11(4), 195–196. Retrieved from https://jkmc.com.np/ojs3/index.php/journal/article/view/1262
ACM ACS APA ABNT Chicago Harvard IEEE MLA Turabian Vancouver

Download Citation

Endnote/Zotero/Mendeley (RIS) BibTeX

Abstract

NA

PDF

References

“ENIAC on Trial – 1. Public Use”. The ENIAC machine […] was reduced to practice no later than the date of commencement of the use of the machine for the Los Alamos calculations, December 10, 1945. [Full Text]

Park A, Awan OA. COVID-19 and Virtual Medical Student Education. Acad Radiol. 2023;30(4):773-5. [PubMed | Full Text | DOI]

Cheng CT, Chen CC, Fu CY, Chaou CH, Wu YT, Hsu CP, et al. Artificial intelligence-based education assists medical students’ interpretation of hip fracture. Insights Imaging. 2020; 11(119). [PubMed | Full Text | DOI]

Ray JM, Wong AH, Yang TJ, Buck S, Joseph M, Bonz JW, et al. Virtual Telesimulation for Medical Students during the COVID-19 Pandemic. Acad Med, 2021;96(10):1431-5. [PubMed | Full Text | DOI]

Murugesan A, Patel S, Viswanathan VS, Bhargava P, Faraji N. Dear Medical Students - Artificial Intelligence is Not Taking Away a Radiologist’s Job. Current Problems in Diagnostic Radiology. 2023; 52(1):1-5. [PubMed | Full Text | DOI]

Thrall JH, Li X, Li Q, Cruz C, Do S, Dreyer K, Brink J. Artificial Intelligence and Machine Learning in Radiology: Opportunities, Challenges, Pitfalls, and Criteria for Success. J Am Coll Radiol. 2018 Mar;15(3 Pt B):504-508. [PubMed | Full Text | DOI]

Chetlen AL, Chan TL, Ballard DH, Frigini LA, Hildebrand A, Kim S, et al. Addressing Burnout in Radiologists. Acad Radiol. 2019 Apr 1;26(4):526–33. [PubMed | Full Text | DOI]

Saboury B, Morris M, Siegel E. Future Directions in Artificial Intelligence. Radiol Clin North Am. 2021;59(6):1085-95. [PubMed | Full Text | DOI]

Zanca F, Brusasco C, Pesapane F, Kwade Z, Beckers R, Avanzo M. Regulatory Aspects of the Use of Artificial Intelligence Medical Software. Semin Radiat Oncol.. 2022;32(4):432-41. [PubMed | Full Text | DOI]

Most read articles by the same author(s)

1 2 > >>