Towards Risk‐Free Trustworthy Artificial Intelligence: Significance and Requirements
Given the tremendous potential and influence of artificial intelligence (AI) and algorithmic
decision‐making (DM), these systems have found wide‐ranging applications across diverse …
decision‐making (DM), these systems have found wide‐ranging applications across diverse …
Deep learning in radiology for lung cancer diagnostics: A systematic review of classification, segmentation, and predictive modeling techniques
This study presents a comprehensive systematic review focusing on the applications of deep
learning techniques in lung cancer radiomics. Through a rigorous screening process of 589 …
learning techniques in lung cancer radiomics. Through a rigorous screening process of 589 …
Machine learning for catalysing the integration of noncoding RNA in research and clinical practice
D de Gonzalo-Calvo, K Karaduzovic-Hadziabdic… - …, 2024 - thelancet.com
The human transcriptome predominantly consists of noncoding RNAs (ncRNAs), transcripts
that do not encode proteins. The noncoding transcriptome governs a multitude of …
that do not encode proteins. The noncoding transcriptome governs a multitude of …
Lessons learned from assessing trustworthy AI in practice
Building artificial intelligence (AI) systems that adhere to ethical standards is a complex
problem. Even though a multitude of guidelines for the design and development of such …
problem. Even though a multitude of guidelines for the design and development of such …
Situation awareness in ai-based technologies and multimodal systems: Architectures, challenges and applications
Situation Awareness (SA) is a process of sensing, understanding and predicting the
environment and is an important component in complex systems. The reception of …
environment and is an important component in complex systems. The reception of …
AI revolution in healthcare and medicine and the (re-) emergence of inequalities and disadvantages for ageing population
J Stypińska, A Franke - Frontiers in Sociology, 2023 - frontiersin.org
AI systems in medicine and healthcare are being extensively explored in prevention,
diagnosis, novel drug designs and after-care. The application of AI technology in healthcare …
diagnosis, novel drug designs and after-care. The application of AI technology in healthcare …
Developing machine learning systems worthy of trust for infection science: a requirement for future implementation into clinical practice
Infection science is a discipline of healthcare which includes clinical microbiology, public
health microbiology, mechanisms of microbial disease, and antimicrobial countermeasures …
health microbiology, mechanisms of microbial disease, and antimicrobial countermeasures …
Publics' views on ethical challenges of artificial intelligence: a scoping review
This scoping review examines the research landscape about publics' views on the ethical
challenges of AI. To elucidate how the concerns voiced by the publics are translated within …
challenges of AI. To elucidate how the concerns voiced by the publics are translated within …
How to assess trustworthy AI in practice
This report is a methodological reflection on Z-Inspection $^{\small {\circledR}} $. Z-
Inspection $^{\small {\circledR}} $ is a holistic process used to evaluate the trustworthiness …
Inspection $^{\small {\circledR}} $ is a holistic process used to evaluate the trustworthiness …
Responsible Artificial Intelligence: A Structured Literature Review
S Goellner, M Tropmann-Frick, B Brumen - arXiv preprint arXiv …, 2024 - arxiv.org
Our research endeavors to advance the concept of responsible artificial intelligence (AI), a
topic of increasing importance within EU policy discussions. The EU has recently issued …
topic of increasing importance within EU policy discussions. The EU has recently issued …