[HTML][HTML] Understanding the factors influencing acceptability of AI in medical imaging domains among healthcare professionals: a sco** review

D Hua, N Petrina, N Young, JG Cho, SK Poon - Artificial Intelligence in …, 2024 - Elsevier
Background Artificial intelligence (AI) technology has the potential to transform medical
practice within the medical imaging industry and materially improve productivity and patient …

Radiomics and artificial intelligence in breast imaging: a survey

T Zhang, T Tan, R Samperna, Z Li, Y Gao… - Artificial Intelligence …, 2023 - Springer
Medical imaging techniques, such as mammography, ultrasound and magnetic resonance
imaging, plays an integral role in the detection and characterization of breast cancer …

[HTML][HTML] ChatGPT in education: A blessing or a curse? A qualitative study exploring early adopters' utilization and perceptions

RH Mogavi, C Deng, JJ Kim, P Zhou, YD Kwon… - Computers in Human …, 2024 - Elsevier
To foster the development of pedagogically potent and ethically sound AI-integrated
learning landscapes, it is pivotal to critically explore the perceptions and experiences of the …

Multimodal healthcare AI: identifying and designing clinically relevant vision-language applications for radiology

N Yildirim, H Richardson, MT Wetscherek… - Proceedings of the …, 2024 - dl.acm.org
Recent advances in AI combine large language models (LLMs) with vision encoders that
bring forward unprecedented technical capabilities to leverage for a wide range of …

Assertiveness-based agent communication for a personalized medicine on medical imaging diagnosis

FM Calisto, J Fernandes, M Morais… - Proceedings of the …, 2023 - dl.acm.org
Intelligent agents are showing increasing promise for clinical decision-making in a variety of
healthcare settings. While a substantial body of work has contributed to the best strategies to …

Exploring user perspectives on chatgpt: Applications, perceptions, and implications for ai-integrated education

RH Mogavi, C Deng, JJ Kim, P Zhou, YD Kwon… - ar** review
HV Subramanian, C Canfield, DB Shank - Artificial Intelligence in Medicine, 2024 - Elsevier
The rise of complex AI systems in healthcare and other sectors has led to a growing area of
research called Explainable AI (XAI) designed to increase transparency. In this area …