A comprehensive survey and classification of evaluation criteria for trustworthy artificial intelligence

L McCormack, M Bendechache - AI and Ethics, 2024 - Springer
This paper presents a systematic review of the literature on evaluation criteria for
Trustworthy Artificial Intelligence (TAI), with a focus on the seven EU principles of TAI. This …

Patient centric trustworthy AI in medical analysis and disease prediction: A Comprehensive survey and taxonomy

A Singh, KK Sharma, MK Bajpai… - Applied Soft …, 2024 - Elsevier
Artificial Intelligence (AI) integration in healthcare is revolutionizing medical analysis and
disease prediction, enhancing diagnostic accuracy and patient care. However, with the …

Charting a new course in healthcare: early-stage AI algorithm registration to enhance trust and transparency

ME van Genderen, D van de Sande, L Hooft… - npj Digital …, 2024 - nature.com
AI holds the potential to transform healthcare, promising improvements in patient care. Yet,
realizing this potential is hampered by over-reliance on limited datasets and a lack of …

Is Generative AI Increasing the Risk for Technology‐Mediated Trauma Among Vulnerable Populations?

AF Abdulai - Nursing Inquiry, 2025 - Wiley Online Library
ABSTRACT The proliferation of Generative Artificial Intelligence (Generative AI) has led to
an increased reliance on AI‐generated content for designing and deploying digital health …

[HTML][HTML] Managing a patient with uveitis in the era of artificial intelligence: Current approaches, emerging trends, and future perspectives

W Rojas-Carabali, C Cifuentes-González… - Asia-Pacific Journal of …, 2024 - Elsevier
The integration of artificial intelligence (AI) with healthcare has opened new avenues for
diagnosing, treating, and managing medical conditions with remarkable precision. Uveitis, a …

Modeling of artificial intelligence-based respiratory motion prediction in MRI-guided radiotherapy: a review

X Zhang, D Yan, H Xiao, R Zhong - Radiation Oncology, 2024 - Springer
The advancement of precision radiotherapy techniques, such as volumetric modulated arc
therapy (VMAT), stereotactic body radiotherapy (SBRT), and particle therapy, highlights the …

The Way Forward to Embrace Artificial Intelligence in Public Health

G Hattab, C Irrgang, N Körber… - … Journal of Public …, 2024 - ajph.aphapublications.org
The promise of revolutionizing disease surveillance, health service delivery, and medical
research through the integration of artificial intelligence (AI) is real. 1 The capabilities of AI …

[HTML][HTML] Advances in Screening and Early Diagnosis of Pancreatic Cancer

W Luo, J Wang, H Chen, Z Cao, J Qiu… - Cancer Screening …, 2024 - xiahepublishing.com
Pancreatic cancer (PC) remains a formidable challenge in oncology due to its notoriously
poor prognosis, often resulting from late-stage diagnosis. Early detection through effective …

Zodiac: A Cardiologist-Level LLM Framework for Multi-Agent Diagnostics

Y Zhou, P Zhang, M Song, A Zheng, Y Lu, Z Liu… - arXiv preprint arXiv …, 2024 - arxiv.org
Large language models (LLMs) have demonstrated remarkable progress in healthcare.
However, a significant gap remains regarding LLMs' professionalism in domain-specific …

Uncertainty Quantification for Transformer Models for Dark-Pattern Detection

J Muñoz, Á Huertas-García, C Martí-González… - arXiv preprint arXiv …, 2024 - arxiv.org
The opaque nature of transformer-based models, particularly in applications susceptible to
unethical practices such as dark-patterns in user interfaces, requires models that integrate …