Explainable AI methods-a brief overview
Abstract Explainable Artificial Intelligence (xAI) is an established field with a vibrant
community that has developed a variety of very successful approaches to explain and …
community that has developed a variety of very successful approaches to explain and …
Artificial intelligence ethics and challenges in healthcare applications: a comprehensive review in the context of the European GDPR mandate
M Mohammad Amini, M Jesus… - Machine Learning and …, 2023 - mdpi.com
This study examines the ethical issues surrounding the use of Artificial Intelligence (AI) in
healthcare, specifically nursing, under the European General Data Protection Regulation …
healthcare, specifically nursing, under the European General Data Protection Regulation …
[HTML][HTML] Fairness and explanation in AI-informed decision making
AI-assisted decision-making that impacts individuals raises critical questions about
transparency and fairness in artificial intelligence (AI). Much research has highlighted the …
transparency and fairness in artificial intelligence (AI). Much research has highlighted the …
Impact of generative artificial intelligence models on the performance of citizen data scientists in retail firms
Abstract Generative Artificial Intelligence (AI) models serve as powerful tools for
organizations aiming to integrate advanced data analysis and automation into their …
organizations aiming to integrate advanced data analysis and automation into their …
The next frontier: AI we can really trust
A Holzinger - Joint European conference on machine learning and …, 2021 - Springer
Enormous advances in the domain of statistical machine learning, the availability of large
amounts of training data, and increasing computing power have made Artificial Intelligence …
amounts of training data, and increasing computing power have made Artificial Intelligence …
AI and professional liability assessment in healthcare. A revolution in legal medicine?
C Terranova, C Cestonaro, L Fava, A Cinquetti - Frontiers in Medicine, 2024 - frontiersin.org
The adoption of advanced artificial intelligence (AI) systems in healthcare is transforming the
healthcare-delivery landscape. Artificial intelligence may enhance patient safety and …
healthcare-delivery landscape. Artificial intelligence may enhance patient safety and …
[HTML][HTML] Resilient artificial intelligence in health: synthesis and research agenda toward next-generation trustworthy clinical decision support
Artificial intelligence (AI)–based clinical decision support systems are gaining momentum by
relying on a greater volume and variety of secondary use data. However, the uncertainty …
relying on a greater volume and variety of secondary use data. However, the uncertainty …
[HTML][HTML] Actionable explainable AI (AxAI): a practical example with aggregation functions for adaptive classification and textual explanations for interpretable machine …
A Saranti, M Hudec, E Mináriková, Z Takáč… - Machine Learning and …, 2022 - mdpi.com
In many domains of our daily life (eg, agriculture, forestry, health, etc.), both laymen and
experts need to classify entities into two binary classes (yes/no, good/bad …
experts need to classify entities into two binary classes (yes/no, good/bad …
Cervical cancer survival prediction by machine learning algorithms: a systematic review
Background Cervical cancer is a common malignant tumor of the female reproductive
system and is considered a leading cause of mortality in women worldwide. The analysis of …
system and is considered a leading cause of mortality in women worldwide. The analysis of …
[HTML][HTML] On relevant features for the recurrence prediction of urothelial carcinoma of the bladder
Background Urothelial bladder cancer (UBC) is characterized by a high recurrence rate,
which is predicted by scoring systems. However, recent studies show the superiority of …
which is predicted by scoring systems. However, recent studies show the superiority of …