Responsible AI pattern catalogue: A collection of best practices for AI governance and engineering
Responsible Artificial Intelligence (RAI) is widely considered as one of the greatest scientific
challenges of our time and is key to increase the adoption of Artificial Intelligence (AI) …
challenges of our time and is key to increase the adoption of Artificial Intelligence (AI) …
Trustworthy artificial intelligence in Alzheimer's disease: state of the art, opportunities, and challenges
Abstract Medical applications of Artificial Intelligence (AI) have consistently shown
remarkable performance in providing medical professionals and patients with support for …
remarkable performance in providing medical professionals and patients with support for …
To explain or not to explain?—Artificial intelligence explainability in clinical decision support systems
Explainability for artificial intelligence (AI) in medicine is a hotly debated topic. Our paper
presents a review of the key arguments in favor and against explainability for AI-powered …
presents a review of the key arguments in favor and against explainability for AI-powered …
[HTML][HTML] A framework for language technologies in behavioral research and clinical applications: Ethical challenges, implications, and solutions.
Technological advances in the assessment and understanding of speech and language
within the domains of automatic speech recognition, natural language processing, and …
within the domains of automatic speech recognition, natural language processing, and …
[HTML][HTML] AI and machine learning in resuscitation: ongoing research, new concepts, and key challenges
Aim Artificial intelligence (AI) and machine learning (ML) are important areas of computer
science that have recently attracted attention for their application to medicine. However, as …
science that have recently attracted attention for their application to medicine. However, as …
[HTML][HTML] Understanding the role and adoption of artificial intelligence techniques in rheumatology research: an in-depth review of the literature
A Madrid-García, B Merino-Barbancho… - Seminars in Arthritis and …, 2023 - Elsevier
The major and upward trend in the number of published research related to rheumatic and
musculoskeletal diseases, in which artificial intelligence plays a key role, has exhibited the …
musculoskeletal diseases, in which artificial intelligence plays a key role, has exhibited the …
[PDF][PDF] Responsible AI Pattern Catalogue: A Collection of Best Practices for AI Governance and Engineering
Responsible AI has been widely considered as one of the greatest scientific challenges of
our time and the key to increase the adoption of AI. A number of AI ethics principles …
our time and the key to increase the adoption of AI. A number of AI ethics principles …
Trustworthy AI guidelines in biomedical decision-making applications: a scoping review
M Mora-Cantallops, E García-Barriocanal… - Big Data and Cognitive …, 2024 - mdpi.com
Recently proposed legal frameworks for Artificial Intelligence (AI) depart from some
frameworks of concepts regarding ethical and trustworthy AI that provide the technical …
frameworks of concepts regarding ethical and trustworthy AI that provide the technical …
Meaningful human control over AI for health? A review
Artificial intelligence is currently changing many areas of society. Especially in health, where
critical decisions are made, questions of control must be renegotiated: who is in control …
critical decisions are made, questions of control must be renegotiated: who is in control …
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 …