Patient attitudes towards AI-Echo
Healthcare AI technologies have seen tremendous adoption in the medical imaging field. AI-echo’s performance has been shown to match or exceed human experts in many studies, but do we know if patients are ready to accept AI technology?
In 100 patients with suspected heart failure who presented for cardiac imaging at National Heart Centre Singapore, the authors examined patients’ acceptance toward task shifting from conventional echo to AI-echo (with the aid of Us2.ai software).
Some of the most important factors identified for patients’ acceptance of AI technology are:
Huang, W., Wen Chong Ong, Kei, M., Yin, E., Koh, T., Chandramouli, C., Choon Ta Ng, Hummel, Y., Huang, F., Su, C., & Tromp, J. (2024). Applying the UTAUT2 framework to patients’ attitudes toward healthcare task shifting with artificial intelligence. BMC Health Services Research, 24(1). https://doi.org/10.1186/s12913-024-10861-z
