[HTML][HTML] Deep learning for object detection and scene perception in self-driving cars: Survey, challenges, and open issues

A Gupta, A Anpalagan, L Guan, AS Khwaja - Array, 2021 - Elsevier
This article presents a comprehensive survey of deep learning applications for object
detection and scene perception in autonomous vehicles. Unlike existing review papers, we …

Interface, interaction, and intelligence in generalized brain–computer interfaces

X Gao, Y Wang, X Chen, S Gao - Trends in cognitive sciences, 2021 - cell.com
A brain–computer interface (BCI) establishes a direct communication channel between a
brain and an external device. With recent advances in neurotechnology and artificial …

The rise of artificial intelligence–understanding the AI identity threat at the workplace

M Mirbabaie, F Brünker, NRJ Möllmann, S Stieglitz - Electronic Markets, 2022 - Springer
Artificial intelligence (AI) is being increasingly integrated into enterprises to foster
collaboration within humanmachine teams and assist employees with work-related tasks …

Artificial intelligence in disease diagnostics: A critical review and classification on the current state of research guiding future direction

M Mirbabaie, S Stieglitz, NRJ Frick - Health and Technology, 2021 - Springer
The diagnosis of diseases is decisive for planning proper treatment and ensuring the well-
being of patients. Human error hinders accurate diagnostics, as interpreting medical …

Maneuvering through the stormy seas of digital transformation: the impact of empowering leadership on the AI readiness of enterprises

NRJ Frick, M Mirbabaie, S Stieglitz… - Journal of Decision …, 2021 - Taylor & Francis
Digital transformation exposes enterprises of altering business strategies and adapt
technological advancements such as artificial intelligence (AI). AI is expected to …

Artificial intelligence in hospitals: providing a status quo of ethical considerations in academia to guide future research

M Mirbabaie, L Hofeditz, NRJ Frick, S Stieglitz - AI & society, 2022 - Springer
The application of artificial intelligence (AI) in hospitals yields many advantages but also
confronts healthcare with ethical questions and challenges. While various disciplines have …

[HTML][HTML] Цифровая трансформация российского здравоохранения как фактор развития отрасли

ЮА Морозова - Интеллект. Инновации. Инвестиции, 2020 - cyberleninka.ru
В результате внедрения различных цифровых технологий возникли изменения
социально-экономического состояния страны, что требует разработки направлений …

The Job Perception Inventory: considering human factors and needs in the design of human–AI work

S Berretta, A Tausch, C Peifer, A Kluge - Frontiers in Psychology, 2023 - frontiersin.org
Introduction Artificial intelligence (AI) is seen as a driver of change, especially in the context
of business, due to its progressive development and increasing connectivity in operational …

Hybrid intelligence in hospitals: towards a research agenda for collaboration

M Mirbabaie, S Stieglitz, NRJ Frick - Electronic Markets, 2021 - Springer
Successful collaboration between clinicians is particularly relevant regarding the quality of
care process. In this context, the utilization of hybrid intelligence, such as conversational …

The unbearable shallow understanding of deep learning

A Plebe, G Grasso - Minds and Machines, 2019 - Springer
This paper analyzes the rapid and unexpected rise of deep learning within Artificial
Intelligence and its applications. It tackles the possible reasons for this remarkable success …