Healthcare Professionals’ Expectations of Medical Artificial Intelligence and Strategies for its Clinical Implementation: A Qualitative Study
Junsang Yoo, Sujeong Hur, Wonil Hwang, Won Chul Cha
Healthc Inform Res. 2023;29(1):64-74.   Published online 2023 Jan 31     DOI: https://doi.org/10.4258/hir.2023.29.1.64
Citations to this article as recorded by Crossref logo
Attitudes towards artificial intelligence in emergency medicine
Jonathon Stewart, Samuel Freeman, Ege Eroglu, Nicole Dumitrascu, Juan Lu, Adrian Goudie, Peter Sprivulis, Hamed Akhlaghi, Viet Tran, Frank Sanfilippo, Antonio Celenza, Martin Than, Daniel Fatovich, Katie Walker, Girish Dwivedi
Emergency Medicine Australasia.2024; 36(2): 252.     CrossRef
Artificial intelligence in future nursing care: Exploring perspectives of nursing professionals - A descriptive qualitative study
Moustaq Karim Khan Rony, Ibne Kayesh, Shuvashish Das Bala, Fazila Akter, Mst. Rina Parvin
Heliyon.2024; 10(4): e25718.     CrossRef
Prediction of Treatment Effect of SLE-ITP Patients Based on Cost-Sensitive Neural Network and Variational Autoencoder
Qiaoqiao Xie, Na Li, Youbei Lu, Jiaqi Chen, Wenqiang Qu, Linyu Geng, Lingyun Sun
JCR: Journal of Clinical Rheumatology.2024; 30(3): e78.     CrossRef
Primum non nocere: first, do no harm—determining the current, ongoing, and future contribution of smart healthcare
Daniel Wu, David Greenfield, Pa-Chun Wang
International Journal for Quality in Health Care.2024;[Epub]     CrossRef
Navigating the impact of artificial intelligence on our healthcare workforce
Danielle Le Lagadec, Rachel Kornhaber, Michelle Cleary
Journal of Clinical Nursing.2024;[Epub]     CrossRef
Closing the Gap in VTE Prophylaxis
Mark Sonderman, Quinn S. Wells
JACC: Advances.2023; 2(8): 100601.     CrossRef