[HTML][HTML] Notions of explainability and evaluation approaches for explainable artificial intelligence
Abstract Explainable Artificial Intelligence (XAI) has experienced a significant growth over
the last few years. This is due to the widespread application of machine learning, particularly …
the last few years. This is due to the widespread application of machine learning, particularly …
[PDF][PDF] The promise of artificial intelligence: a review of the opportunities and challenges of artificial intelligence in healthcare
YYM Aung, DCS Wong, DSW Ting - British medical bulletin, 2021 - academic.oup.com
Introduction Artificial intelligence (AI) and machine learning (ML) are rapidly evolving fields
in various sectors, including healthcare. This article reviews AI's present applications in …
in various sectors, including healthcare. This article reviews AI's present applications in …
Lack of transparency and potential bias in artificial intelligence data sets and algorithms: a scoping review
R Daneshjou, MP Smith, MD Sun… - JAMA …, 2021 - jamanetwork.com
Importance Clinical artificial intelligence (AI) algorithms have the potential to improve clinical
care, but fair, generalizable algorithms depend on the clinical data on which they are trained …
care, but fair, generalizable algorithms depend on the clinical data on which they are trained …
The ethics of algorithms: key problems and solutions
Research on the ethics of algorithms has grown substantially over the past decade.
Alongside the exponential development and application of machine learning algorithms …
Alongside the exponential development and application of machine learning algorithms …
How to design AI for social good: Seven essential factors
Abstract The idea of Artificial Intelligence for Social Good (henceforth AI4SG) is gaining
traction within information societies in general and the AI community in particular. It has the …
traction within information societies in general and the AI community in particular. It has the …
Understanding, explaining, and utilizing medical artificial intelligence
Medical artificial intelligence is cost-effective and scalable and often outperforms human
providers, yet people are reluctant to use it. We show that resistance to the utilization of …
providers, yet people are reluctant to use it. We show that resistance to the utilization of …
A survey on recent named entity recognition and relationship extraction techniques on clinical texts
Significant growth in Electronic Health Records (EHR) over the last decade has provided an
abundance of clinical text that is mostly unstructured and untapped. This huge amount of …
abundance of clinical text that is mostly unstructured and untapped. This huge amount of …
Artificial intelligence and patient-centered decision-making
JC Bjerring, J Busch - Philosophy & technology, 2021 - Springer
Advanced AI systems are rapidly making their way into medical research and practice, and,
arguably, it is only a matter of time before they will surpass human practitioners in terms of …
arguably, it is only a matter of time before they will surpass human practitioners in terms of …
A human-ai collaborative approach for clinical decision making on rehabilitation assessment
Advances in artificial intelligence (AI) have made it increasingly applicable to supplement
expert's decision-making in the form of a decision support system on various tasks. For …
expert's decision-making in the form of a decision support system on various tasks. For …
What is interpretability?
We argue that artificial networks are explainable and offer a novel theory of interpretability.
Two sets of conceptual questions are prominent in theoretical engagements with artificial …
Two sets of conceptual questions are prominent in theoretical engagements with artificial …