M Chen, B Zhang, Z Cai, S Seery, MJ Gonzalez… - Frontiers in …, 2022 - frontiersin.org
Background Artificial intelligence (AI) needs to be accepted and understood by physicians and medical students, but few have systematically assessed their attitudes. We investigated …
AI is transforming healthcare system with many innovations in diagnosis, drug research and advancement in medical treatments. But there are several concerns and dilemmas related to …
The adoption of Artificial Intelligence (AI) in the healthcare sector is growing, and AI‐based technologies are envisioned to affect not only patient care but also how healthcare …
Introduction: The use of artificial intelligence (AI) in medical imaging and radiotherapy has been met with both scepticism and excitement. However, clinical integration of AI is already …
A Katirai - Frontiers in Public Health, 2023 - frontiersin.org
Public and private investments into developing digital health technologies—including artificial intelligence (AI)—are intensifying globally. Japan is a key case study given major …
FA Eltawil, M Atalla, E Boulos, A Amirabadi, PN Tyrrell - Tomography, 2023 - mdpi.com
Objectives: This scoping review was conducted to determine the barriers and enablers associated with the acceptance of artificial intelligence/machine learning (AI/ML)-enabled …
TN Akudjedu, S Torre, R Khine, D Katsifarakis… - Journal of medical …, 2023 - Elsevier
Abstract Background Artificial Intelligence (AI) technologies have already started impacting clinical practice across various settings worldwide, including the radiography profession …
The implementation of artificial intelligence (AI) in work is increasingly common across industries and professions. This study explores professional discourse around perceptions …
Y Chen, Z Wu, P Wang, L Xie, M Yan, M Jiang… - Journal of Medical …, 2023 - jmir.org
Background Artificial intelligence (AI) is transforming various fields, with health care, especially diagnostic specialties such as radiology, being a key but controversial …