What is human-centered about human-centered AI? A map of the research landscape
The application of Artificial Intelligence (AI) across a wide range of domains comes with both
high expectations of its benefits and dire predictions of misuse. While AI systems have …
high expectations of its benefits and dire predictions of misuse. While AI systems have …
Deep learning with radiomics for disease diagnosis and treatment: challenges and potential
The high-throughput extraction of quantitative imaging features from medical images for the
purpose of radiomic analysis, ie, radiomics in a broad sense, is a rapidly develo** and …
purpose of radiomic analysis, ie, radiomics in a broad sense, is a rapidly develo** and …
Ignore, trust, or negotiate: understanding clinician acceptance of AI-based treatment recommendations in health care
Artificial intelligence (AI) in healthcare has the potential to improve patient outcomes, but
clinician acceptance remains a critical barrier. We developed a novel decision support …
clinician acceptance remains a critical barrier. We developed a novel decision support …
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 …
healthcare settings. While a substantial body of work has contributed to the best strategies to …
[HTML][HTML] BreastScreening-AI: Evaluating medical intelligent agents for human-AI interactions
In this paper, we developed BreastScreening-AI within two scenarios for the classification of
multimodal beast images:(1) Clinician-Only; and (2) Clinician-AI. The novelty relies on the …
multimodal beast images:(1) Clinician-Only; and (2) Clinician-AI. The novelty relies on the …
[HTML][HTML] ChatGPT in education: A blessing or a curse? A qualitative study exploring early adopters' utilization and perceptions
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 …
learning landscapes, it is pivotal to critically explore the perceptions and experiences of the …
Exploring user perspectives on chatgpt: Applications, perceptions, and implications for ai-integrated education
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 …
learning landscapes, it is pivotal to critically explore the perceptions and experiences of the …
Modeling adoption of intelligent agents in medical imaging
Artificial intelligence has the potential to transform many application domains fundamentally.
One notable example is clinical radiology. A growing number of decision-making support …
One notable example is clinical radiology. A growing number of decision-making support …
Deliberating with AI: improving decision-making for the future through participatory AI design and stakeholder deliberation
A Zhang, O Walker, K Nguyen, J Dai, A Chen… - Proceedings of the …, 2023 - dl.acm.org
Research exploring how to support decision-making has often used machine learning to
automate or assist human decisions. We take an alternative approach for improving decision …
automate or assist human decisions. We take an alternative approach for improving decision …
Multimodal healthcare AI: identifying and designing clinically relevant vision-language applications for radiology
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 …
bring forward unprecedented technical capabilities to leverage for a wide range of …