A systematic review of human–computer interaction and explainable artificial intelligence in healthcare with artificial intelligence techniques

M Nazar, MM Alam, E Yafi, MM Su'ud - IEEE Access, 2021 - ieeexplore.ieee.org
Artificial intelligence (AI) is one of the emerging technologies. In recent decades, artificial
intelligence (AI) has gained widespread acceptance in a variety of fields, including virtual …

[HTML][HTML] The impact of artificial intelligence on the person-centred, doctor-patient relationship: some problems and solutions

A Sauerbrei, A Kerasidou, F Lucivero… - BMC Medical Informatics …, 2023 - Springer
Artificial intelligence (AI) is often cited as a possible solution to current issues faced by
healthcare systems. This includes the freeing up of time for doctors and facilitating person …

Artificial intelligence, digital transformation and cybersecurity in the banking sector: A multi-stakeholder cognition-driven framework

ARD Rodrigues, FAF Ferreira, FJ Teixeira… - … in International Business …, 2022 - Elsevier
Traditional banking institutions are currently under great pressure from their stakeholders to
adapt to new technologies. However, due to this sector's inherent nature, data security …

Investigating the negative bias towards artificial intelligence: Effects of prior assignment of AI-authorship on the aesthetic appreciation of abstract paintings

SG Chiarella, G Torromino, DM Gagliardi… - Computers in Human …, 2022 - Elsevier
Art, regarded as one of the last bulwarks of human prerogatives, is a valid model for
investigating the relationship between humans and Artificial Intelligence (AI). Recent studies …

“There is not enough information”: On the effects of explanations on perceptions of informational fairness and trustworthiness in automated decision-making

J Schoeffer, N Kuehl, Y Machowski - … of the 2022 ACM Conference on …, 2022 - dl.acm.org
Automated decision systems (ADS) are increasingly used for consequential decision-
making. These systems often rely on sophisticated yet opaque machine learning models …

[HTML][HTML] Human, all too human? An all-around appraisal of the “artificial intelligence revolution” in medical imaging

F Coppola, L Faggioni, M Gabelloni… - Frontiers in …, 2021 - frontiersin.org
Artificial intelligence (AI) has seen dramatic growth over the past decade, evolving from a
niche super specialty computer application into a powerful tool which has revolutionized …

[HTML][HTML] Comparing artificial intelligence and human coaching goal attainment efficacy

N Terblanche, J Molyn, E de Haan, VO Nilsson - Plos one, 2022 - journals.plos.org
The history of artificial intelligence (AI) is filled with hype and inflated expectations.
Notwithstanding, AI is finding its way into numerous aspects of humanity including the fast …

[HTML][HTML] The use of artificial intelligence (AI) in the radiology field: What is the state of doctor–patient communication in cancer diagnosis?

A Derevianko, SFM Pizzoli, F Pesapane, A Rotili… - Cancers, 2023 - mdpi.com
Simple Summary Artificial Intelligence (AI) has been increasingly used in radiology to
improve diagnostic procedures over the past decades. The application of AI at the time of …

[HTML][HTML] Machine learning and deep learning applications in multiple myeloma diagnosis, prognosis, and treatment selection

A Allegra, A Tonacci, R Sciaccotta, S Genovese… - Cancers, 2022 - mdpi.com
Simple Summary Multiple myeloma is a malignant neoplasm of plasma cells with complex
pathogenesis. With major progresses in multiple myeloma research, it is essential that we …

Team formation for human-artificial intelligence collaboration in the workplace: a goal programming model to foster organizational change

D La Torre, C Colapinto, I Durosini… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The need for preparing for digital transformation is a recurrent theme in the recent public and
academic debate. Artificial Intelligence (AI) has the potential to reduce operational costs …