[HTML][HTML] Deep learning attention mechanism in medical image analysis: Basics and beyonds

X Li, M Li, P Yan, G Li, Y Jiang, H Luo… - International Journal of …, 2023 - sciltp.com
With the improvement of hardware computing power and the development of deep learning
algorithms, a revolution of" artificial intelligence (AI)+ medical image" is taking place …

[HTML][HTML] Artificial intelligence in information systems research: A systematic literature review and research agenda

C Collins, D Dennehy, K Conboy, P Mikalef - International Journal of …, 2021 - Elsevier
AI has received increased attention from the information systems (IS) research community in
recent years. There is, however, a growing concern that research on AI could experience a …

[HTML][HTML] A strategic framework for artificial intelligence in marketing

MH Huang, RT Rust - Journal of the Academy of Marketing Science, 2021 - Springer
The authors develop a three-stage framework for strategic marketing planning, incorporating
multiple artificial intelligence (AI) benefits: mechanical AI for automating repetitive marketing …

What do we want from Explainable Artificial Intelligence (XAI)?–A stakeholder perspective on XAI and a conceptual model guiding interdisciplinary XAI research

M Langer, D Oster, T Speith, H Hermanns, L Kästner… - Artificial Intelligence, 2021 - Elsevier
Abstract Previous research in Explainable Artificial Intelligence (XAI) suggests that a main
aim of explainability approaches is to satisfy specific interests, goals, expectations, needs …

When and how artificial intelligence augments employee creativity

N Jia, X Luo, Z Fang, C Liao - Academy of Management Journal, 2024 - journals.aom.org
Can artificial intelligence (AI) assist human employees in increasing employee creativity?
Drawing on research on AI–human collaboration, job design, and employee creativity, we …

The evolving role of artificial intelligence in marketing: A review and research agenda

B Vlačić, L Corbo, SC e Silva, M Dabić - Journal of Business Research, 2021 - Elsevier
An increasing amount of research on Intelligent Systems/Artificial Intelligence (AI) in
marketing has shown that AI is capable of mimicking humans and performing activities in an …

The future of artificial intelligence at work: A review on effects of decision automation and augmentation on workers targeted by algorithms and third-party observers

M Langer, RN Landers - Computers in Human Behavior, 2021 - Elsevier
Advances in artificial intelligence are increasingly leading to the automation and
augmentation of decision processes in work contexts. Although research originally generally …

[HTML][HTML] Medical 4.0 technologies for healthcare: Features, capabilities, and applications

A Haleem, M Javaid, RP Singh, R Suman - Internet of Things and Cyber …, 2022 - Elsevier
Abstract The Fourth Industrial Revolution may help many sectors and industries, whereas
healthcare will be significantly impacted. Medical advances will be swifter, better and more …

Artificial intelligence in utilitarian vs. hedonic contexts: The “word-of-machine” effect

C Longoni, L Cian - Journal of Marketing, 2022 - journals.sagepub.com
Rapid development and adoption of AI, machine learning, and natural language processing
applications challenge managers and policy makers to harness these transformative …

[HTML][HTML] Do as AI say: susceptibility in deployment of clinical decision-aids

S Gaube, H Suresh, M Raue, A Merritt… - NPJ digital …, 2021 - nature.com
Artificial intelligence (AI) models for decision support have been developed for clinical
settings such as radiology, but little work evaluates the potential impact of such systems. In …