[HTML][HTML] Unbox the black-box for the medical explainable AI via multi-modal and multi-centre data fusion: A mini-review, two showcases and beyond
Abstract Explainable Artificial Intelligence (XAI) is an emerging research topic of machine
learning aimed at unboxing how AI systems' black-box choices are made. This research field …
learning aimed at unboxing how AI systems' black-box choices are made. This research field …
Artificial intelligence in healthcare
Artificial intelligence (AI) is gradually changing medical practice. With recent progress in
digitized data acquisition, machine learning and computing infrastructure, AI applications …
digitized data acquisition, machine learning and computing infrastructure, AI applications …
In AI we trust? Perceptions about automated decision-making by artificial intelligence
Fueled by ever-growing amounts of (digital) data and advances in artificial intelligence,
decision-making in contemporary societies is increasingly delegated to automated …
decision-making in contemporary societies is increasingly delegated to automated …
[HTML][HTML] Role of artificial intelligence applications in real-life clinical practice: systematic review
Background Artificial intelligence (AI) applications are growing at an unprecedented pace in
health care, including disease diagnosis, triage or screening, risk analysis, surgical …
health care, including disease diagnosis, triage or screening, risk analysis, surgical …
Artificial intelligence, bias and clinical safety
In medicine, artificial intelligence (AI) research is becoming increasingly focused on
applying machine learning (ML) techniques to complex problems, and so allowing …
applying machine learning (ML) techniques to complex problems, and so allowing …
Artificial intelligence (AI) in medicine, current applications and future role with special emphasis on its potential and promise in pathology: present and future impact …
Z Ahmad, S Rahim, M Zubair, J Abdul-Ghafar - Diagnostic pathology, 2021 - Springer
Abstract Background The role of Artificial intelligence (AI) which is defined as the ability of
computers to perform tasks that normally require human intelligence is constantly …
computers to perform tasks that normally require human intelligence is constantly …
[HTML][HTML] Artificial intelligence and the implementation challenge
Background Applications of artificial intelligence (AI) in health care have garnered much
attention in recent years, but the implementation issues posed by AI have not been …
attention in recent years, but the implementation issues posed by AI have not been …
[HTML][HTML] Managing artificial intelligence applications in healthcare: Promoting information processing among stakeholders
AI applications hold great potential for improving healthcare. However, successfully
operating AI is a complex endeavor requiring organizations to establish adequate …
operating AI is a complex endeavor requiring organizations to establish adequate …
Demographic bias in biometrics: A survey on an emerging challenge
P Drozdowski, C Rathgeb, A Dantcheva… - … on Technology and …, 2020 - ieeexplore.ieee.org
Systems incorporating biometric technologies have become ubiquitous in personal,
commercial, and governmental identity management applications. Both cooperative (eg …
commercial, and governmental identity management applications. Both cooperative (eg …
[HTML][HTML] AMMU: a survey of transformer-based biomedical pretrained language models
KS Kalyan, A Rajasekharan, S Sangeetha - Journal of biomedical …, 2022 - Elsevier
Transformer-based pretrained language models (PLMs) have started a new era in modern
natural language processing (NLP). These models combine the power of transformers …
natural language processing (NLP). These models combine the power of transformers …