Translation of AI into oncology clinical practice

I El Naqa, A Karolak, Y Luo, L Folio, AA Tarhini… - Oncogene, 2023 - nature.com
Artificial intelligence (AI) is a transformative technology that is capturing popular imagination
and can revolutionize biomedicine. AI and machine learning (ML) algorithms have the …

[HTML][HTML] Unraveling the ethical enigma: artificial intelligence in healthcare

M Jeyaraman, S Balaji, N Jeyaraman, S Yadav - Cureus, 2023 - ncbi.nlm.nih.gov
The integration of artificial intelligence (AI) into healthcare promises groundbreaking
advancements in patient care, revolutionizing clinical diagnosis, predictive medicine, and …

[HTML][HTML] Automated decision-making: Hoteliers' perceptions

S Ivanov, C Webster - Technology in Society, 2024 - Elsevier
The paper investigates the attitudes of hoteliers towards the use of artificial intelligence in
the decision-making process in various departments within hotels. It evaluates the …

The dark side of artificial intelligence in higher education

S Ivanov - The Service Industries Journal, 2023 - Taylor & Francis
The paper focuses on the negative aspects of artificial intelligence in higher education such
as biases in the datasets and algorithms, plagiarism, factual incorrectness …

Reflections on putting AI ethics into practice: how three AI ethics approaches conceptualize theory and practice

H Bleher, M Braun - Science and Engineering Ethics, 2023 - Springer
Critics currently argue that applied ethics approaches to artificial intelligence (AI) are too
principles-oriented and entail a theory–practice gap. Several applied ethical approaches try …

Deep learning in radiology: ethics of data and on the value of algorithm transparency, interpretability and explainability

A Fernandez-Quilez - AI and Ethics, 2023 - Springer
AI systems are quickly being adopted in radiology and, in general, in healthcare. A myriad of
systems is being proposed and developed on a daily basis for high-stake decisions that can …

Effective use of artificial intelligence in healthcare supply chain resilience using fuzzy decision-making model

M Deveci - Soft Computing, 2023 - Springer
AI technologies are absolutely changing the rules of the game all around the world.
However, the diffusion rate of AI is widely ranging across countries. This study aims to fulfill a …

Discrepancy between perceptions and acceptance of clinical decision support Systems: implementation of artificial intelligence for vancomycin dosing

X Liu, EF Barreto, Y Dong, C Liu, X Gao… - BMC Medical Informatics …, 2023 - Springer
Background Artificial intelligence (AI) tools are more effective if accepted by clinicians. We
developed an AI-based clinical decision support system (CDSS) to facilitate vancomycin …

Navigating AI unpredictability: Exploring technostress in AI-powered healthcare systems

H Issa, J Jaber, H Lakkis - Technological Forecasting and Social Change, 2024 - Elsevier
The adoption of AI-powered systems in healthcare has revolutionized the field by
introducing autonomous diagnostics and predictions, though it remains a source of debate …

Meaningful human control over AI for health? A review

EM Hille, P Hummel, M Braun - Journal of Medical Ethics, 2023 - jme.bmj.com
Artificial intelligence is currently changing many areas of society. Especially in health, where
critical decisions are made, questions of control must be renegotiated: who is in control …