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 …

[HTML][HTML] Explainable, trustworthy, and ethical machine learning for healthcare: A survey

K Rasheed, A Qayyum, M Ghaly, A Al-Fuqaha… - Computers in Biology …, 2022 - Elsevier
With the advent of machine learning (ML) and deep learning (DL) empowered applications
for critical applications like healthcare, the questions about liability, trust, and interpretability …

To trust or not to trust? An assessment of trust in AI-based systems: Concerns, ethics and contexts

N Omrani, G Rivieccio, U Fiore, F Schiavone… - … Forecasting and Social …, 2022 - Elsevier
Artificial intelligence (AI) characterizes a new generation of technologies capable of
interacting with the environment and aiming to simulate human intelligence. The success of …

Artificial intelligence innovation in healthcare: Literature review, exploratory analysis, and future research

A Zahlan, RP Ranjan, D Hayes - Technology in society, 2023 - Elsevier
Artificial intelligence (AI) innovation in healthcare has emerged as an increasingly significant
area of research. AI, digital data collection, and computer infrastructure advancements have …

[HTML][HTML] Considerations for adapting higher education technology courses for AI large language models: A critical review of the impact of ChatGPT

O Tayan, A Hassan, K Khankan, S Askool - Machine Learning with …, 2024 - Elsevier
Following the very recent launch of the ChatGPT chatbot, numerous comments and
speculations were posted concerning the potential aspects of society that are expected to …

Capable but amoral? Comparing AI and human expert collaboration in ethical decision making

S Tolmeijer, M Christen, S Kandul, M Kneer… - Proceedings of the …, 2022 - dl.acm.org
While artificial intelligence (AI) is increasingly applied for decision-making processes, ethical
decisions pose challenges for AI applications. Given that humans cannot always agree on …

EAACI guidelines on environmental science in allergic diseases and asthma–leveraging artificial intelligence and machine learning to develop a causality model in …

MH Shamji, M Ollert, IM Adcock, O Bennett, A Favaro… - Allergy, 2023 - Wiley Online Library
Allergic diseases and asthma are intrinsically linked to the environment we live in and to
patterns of exposure. The integrated approach to understanding the effects of exposures on …

Application of artificial intelligence in medical technologies: a systematic review of main trends

OV Bitkina, J Park, HK Kim - Digital Health, 2023 - journals.sagepub.com
Objective Artificial intelligence (AI) has been increasingly applied in various fields of science
and technology. In line with the current research, medicine involves an increasing number of …

[HTML][HTML] Managing disruptive technologies for innovative healthcare solutions: the role of high-involvement work systems and technologically-mediated relational …

A Malik, S Kumar, S Basu, R Bebenroth - Journal of Business Research, 2023 - Elsevier
In this research, we present a model of innovative healthcare solutions as an interactive
outcome of high-involvement work systems and technologically-mediated relational …

[HTML][HTML] Assessment of performance, interpretability, and explainability in artificial intelligence–based health technologies: what healthcare stakeholders need to know

L Farah, JM Murris, I Borget, A Guilloux… - Mayo Clinic …, 2023 - Elsevier
This review aimed to specify different concepts that are essential to the development of
medical devices (MDs) with artificial intelligence (AI)(AI-based MDs) and shed light on how …