Introduction Despite the proliferation of Artificial Intelligence (AI) technology over the last decade, clinician, patient, and public perceptions of its use in healthcare raise a number of …
Background The potential for machine learning to disrupt the medical profession is the subject of ongoing debate within biomedical informatics and related fields. Objective This …
V Couture, MC Roy, E Dez, S Laperle… - Journal of Medical …, 2023 - jmir.org
Background Artificial intelligence (AI) systems are widely used in the health care sector. Mainly applied for individualized care, AI is increasingly aimed at population health. This …
Introduction A greater understanding of Australian healthcare professionals' perceptions of artificial intelligence (AI) is needed to identify the challenges ahead as this new technology …
Background This paper reviews nationally representative public opinion surveys on artificial intelligence (AI) in the United States, with a focus on areas related to health care. The …
W Lammons, M Silkens, J Hunter, S Shah… - Journal of medical …, 2023 - jmir.org
Background Artificial intelligence (AI) is widely considered to be the new technical advancement capable of a large-scale modernization of health care. Considering AI's …
M Sharma, C Savage, M Nair, I Larsson… - Journal of medical …, 2022 - jmir.org
Background Artificial intelligence (AI) is often heralded as a potential disruptor that will transform the practice of medicine. The amount of data collected and available in health …
CA Fazakarley, M Breen, P Leeson, B Thompson… - BMJ open, 2023 - bmjopen.bmj.com
Objectives Artificial intelligence (AI) is a rapidly developing field in healthcare, with tools being developed across various specialties to support healthcare professionals and reduce …
Background: The integration of artificial intelligence (AI) into our digital healthcare system is seen as a significant strategy to contain Australia's rising healthcare costs, support clinical …