A systematic review of trustworthy and explainable artificial intelligence in healthcare: Assessment of quality, bias risk, and data fusion

AS Albahri, AM Duhaim, MA Fadhel, A Alnoor… - Information …, 2023 - Elsevier
In the last few years, the trend in health care of embracing artificial intelligence (AI) has
dramatically changed the medical landscape. Medical centres have adopted AI applications …

FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare

K Lekadir, A Feragen, AJ Fofanah, AF Frangi… - arXiv preprint arXiv …, 2023 - arxiv.org
Despite major advances in artificial intelligence (AI) for medicine and healthcare, the
deployment and adoption of AI technologies remain limited in real-world clinical practice. In …

[HTML][HTML] The role of explainability in creating trustworthy artificial intelligence for health care: a comprehensive survey of the terminology, design choices, and …

AF Markus, JA Kors, PR Rijnbeek - Journal of biomedical informatics, 2021 - Elsevier
Artificial intelligence (AI) has huge potential to improve the health and well-being of people,
but adoption in clinical practice is still limited. Lack of transparency is identified as one of the …

[HTML][HTML] Factors influencing trust in medical artificial intelligence for healthcare professionals: A narrative review

V Tucci, J Saary, TE Doyle - Journal of Medical Artificial …, 2022 - jmai.amegroups.org
Objective: We performed a comprehensive review of the literature to better understand the
trust dynamics between medical artificial intelligence (AI) and healthcare expert end-users …

[HTML][HTML] Ethics and governance of trustworthy medical artificial intelligence

J Zhang, Z Zhang - BMC medical informatics and decision making, 2023 - Springer
Background The growing application of artificial intelligence (AI) in healthcare has brought
technological breakthroughs to traditional diagnosis and treatment, but it is accompanied by …

Artificial intelligence in healthcare: review, ethics, trust challenges & future research directions

P Kumar, S Chauhan, LK Awasthi - Engineering Applications of Artificial …, 2023 - Elsevier
The use of artificial intelligence (AI) in medicine is beginning to alter current procedures in
prevention, diagnosis, treatment, amelioration, cure of disease and other physical and …

[HTML][HTML] The ethical issues of the application of artificial intelligence in healthcare: a systematic scoping review

G Karimian, E Petelos, SMAA Evers - AI and Ethics, 2022 - Springer
Artificial intelligence (AI) is being increasingly applied in healthcare. The expansion of AI in
healthcare necessitates AI-related ethical issues to be studied and addressed. This …

[HTML][HTML] Information fusion as an integrative cross-cutting enabler to achieve robust, explainable, and trustworthy medical artificial intelligence

A Holzinger, M Dehmer, F Emmert-Streib, R Cucchiara… - Information …, 2022 - Elsevier
Medical artificial intelligence (AI) systems have been remarkably successful, even
outperforming human performance at certain tasks. There is no doubt that AI is important to …

[HTML][HTML] Multi-stakeholder preferences for the use of artificial intelligence in healthcare: A systematic review and thematic analysis

V Vo, G Chen, YSJ Aquino, S Carter, Q Do… - Social Science & …, 2023 - Elsevier
Introduction Despite the proliferation of Artificial Intelligence (AI) technology over the last
decade, clinician, patient, and public perceptions of its use in healthcare raise a number of …

[HTML][HTML] Success factors of artificial intelligence implementation in healthcare

J Wolff, J Pauling, A Keck, J Baumbach - Frontiers in digital health, 2021 - frontiersin.org
Background: Artificial Intelligence (AI) in healthcare has demonstrated high efficiency in
academic research, while only few, and predominantly small, real-world AI applications exist …