Artificial intelligence technologies and compassion in healthcare: A systematic scoping review

E Morrow, T Zidaru, F Ross, C Mason, KD Patel… - Frontiers in …, 2023 - frontiersin.org
Background Advances in artificial intelligence (AI) technologies, together with the availability
of big data in society, creates uncertainties about how these developments will affect …

[HTML][HTML] Surveying public perceptions of artificial intelligence in health care in the United States: systematic review

B Beets, TP Newman, EL Howell, L Bao… - Journal of Medical Internet …, 2023 - jmir.org
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 …

[HTML][HTML] User intentions to use ChatGPT for self-diagnosis and health-related purposes: cross-sectional survey study

Y Shahsavar, A Choudhury - JMIR Human Factors, 2023 - humanfactors.jmir.org
Background: With the rapid advancement of artificial intelligence (AI) technologies, AI-
powered chatbots, such as Chat Generative Pretrained Transformer (ChatGPT), have …

[HTML][HTML] Assessing health students' attitudes and usage of ChatGPT in Jordan: validation study

M Sallam, NA Salim, M Barakat… - JMIR medical …, 2023 - mededu.jmir.org
Background: ChatGPT is a conversational large language model that has the potential to
revolutionize knowledge acquisition. However, the impact of this technology on the quality of …

[HTML][HTML] Sustainability of weight loss through smartphone apps: systematic review and meta-analysis on anthropometric, metabolic, and dietary outcomes

HSJ Chew, WL Koh, JSHY Ng, KK Tan - Journal of Medical Internet …, 2022 - jmir.org
Background Evidence on the long-term effects of weight management smartphone apps on
various weight-related outcomes remains scarce. Objective In this review, we aimed to …

[HTML][HTML] Applications of artificial intelligence to obesity research: scoping review of methodologies

R An, J Shen, Y Xiao - Journal of Medical Internet Research, 2022 - jmir.org
Background Obesity is a leading cause of preventable death worldwide. Artificial
intelligence (AI), characterized by machine learning (ML) and deep learning (DL), has …

[HTML][HTML] Multi-stakeholder preferences for the use of artificial intelligence in healthcare: A systematic review and thematic analysis

V Vo, G Chen, YSJ Aquino, S Carter, Q Do… - Social Science & …, 2023 - Elsevier
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 …

[HTML][HTML] Understanding the factors influencing acceptability of AI in medical imaging domains among healthcare professionals: A scoping review

D Hua, N Petrina, N Young, JG Cho, SK Poon - Artificial Intelligence in …, 2023 - Elsevier
Background Artificial intelligence (AI) technology has the potential to transform medical
practice within the medical imaging industry and materially improve productivity and patient …

Revealing the complexity of users' intention to adopt healthcare chatbots: A mixed-method analysis of antecedent condition configurations

X Wang, R Luo, Y Liu, P Chen, Y Tao, Y He - Information Processing & …, 2023 - Elsevier
Healthcare chatbots provide a professional, immediate, and low-cost tool for advising
people on health information. Unlike previous studies on chatbot adoption that focus on the …

Resistance to artificial intelligence in health care: literature review, conceptual framework, and research agenda

Y Yang, EWT Ngai, L Wang - Information & Management, 2024 - Elsevier
Resistance has historically been considered a salient obstacle to the implementation of
information systems, including healthcare information technology. However, artificial …