[HTML][HTML] Ai in thyroid cancer diagnosis: Techniques, trends, and future directions
Artificial intelligence (AI) has significantly impacted thyroid cancer diagnosis in recent years,
offering advanced tools and methodologies that promise to revolutionize patient outcomes …
offering advanced tools and methodologies that promise to revolutionize patient outcomes …
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 …
Resistance to artificial intelligence in health care: literature review, conceptual framework, and research agenda
Resistance has historically been considered a salient obstacle to the implementation of
information systems, including healthcare information technology. However, artificial …
information systems, including healthcare information technology. However, artificial …
[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 …
Tree-based machine learning models with optuna in predicting impedance values for circuit analysis
The transmission characteristics of the printed circuit board (PCB) ensure signal integrity
and support the entire circuit system, with impedance matching being critical in the design of …
and support the entire circuit system, with impedance matching being critical in the design of …
AI shall have no dominion: on how to measure technology dominance in AI-supported human decision-making
In this article, we propose a conceptual and methodological framework for measuring the
impact of the introduction of AI systems in decision settings, based on the concept of …
impact of the introduction of AI systems in decision settings, based on the concept of …
AI Consent Futures: A Case Study on Voice Data Collection with Clinicians
As new forms of data capture emerge to power new AI applications, questions abound about
the ethical implications of these data collection practices. In this paper, we present clinicians' …
the ethical implications of these data collection practices. In this paper, we present clinicians' …
Deep learning-based multi-modal ensemble classification approach for human breast cancer prognosis
Ensemble models based on deep learning have made significant contributions to the
medical field, particularly in the area of disease prediction. Breast cancer is a highly …
medical field, particularly in the area of disease prediction. Breast cancer is a highly …