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Artificial intelligence and firm-level productivity

Dirk Czarnitzki A, Gastón P. Fernández, Christian Rammer • Journal of Economic Behavior & Organization (2023)

Artificial Intelligence (AI) is often regarded as the next general-purpose technology with a rapid, penetrating, and far-reaching use over a broad number of industrial sectors. The main feature of new general-purpose technology is to enable...

OPENALEX cc-by-nc-nd DOI: https://doi.org/10.1016/j.jebo.2023.05.008

WEB 2.0 AND TOURISM: A REVIEW OF THE LITERATURE

Fabrizio GRITTA, Gerardo BOSCO, Mario CALABRESE • Tourism and Hospitality Management (2026)

Purpose – The tourism sector has undergone profound transformations due to digital technologies. The shift from Web 1.0 to Web 2.0 has created an interactive environment characterized by social networks, intermediary platforms, mobile devic...

DOAJ Open Access (DOAJ) DOI: 10.20867/thm.32.2.9

Authentic content as an effective mechanism for embedding patient voices in health innovation: a hypothesis and conceptual framework

Rohin Malhotra • Frontiers in Health Services (2026)

Health innovation systems continue to face persistent inefficiencies, mistrust, and escalating development costs despite rapid scientific progress. Although patient-engagement is increasingly recognised as essential for patient-centred heal...

DOAJ Open Access (DOAJ) DOI: 10.3389/frhs.2026.1833920

Governance of artificial intelligence

Araz Taeihagh • Policy and Society (2021)

ABSTRACT The rapid developments in Artificial Intelligence (AI) and the intensification in the adoption of AI in domains such as autonomous vehicles, lethal weapon systems, robotics and alike pose serious challenges to governments as they m...

OPENALEX cc-by-nc DOI: https://doi.org/10.1080/14494035.2021.1928377

Innovation and Design in the Age of Artificial Intelligence

Roberto Verganti, Luca Vendraminelli, Marco Iansiti • Journal of Product Innovation Management (2020)

At the heart of any innovation process lies a fundamental practice: the way people create ideas and solve problems. This “decision making” side of innovation is what scholars and practitioners refer to as “design.” Decisions in innovation p...

OPENALEX cc-by DOI: https://doi.org/10.1111/jpim.12523

Smart IoT device for in field Black Sigatoka Disease recognition and mapping

Simone Figorilli, Lavinia Moscovini, Simone Vasta, Francesco Tocci et al. • Smart Agricultural Technology (2025)

Recently banana plantations have been affected by the Black Sigatoka Disease (BSD), producing streaks, lesions and yellow and brown spots on the leaves until the appearance of entire dead parts. The disease causes reductions in yield making...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.atech.2024.100762

APRICOIN: An Adaptive Approach for Prioritizing High-Risk Containers Inspections

Mohamed Yassine Samiri, Mehdi Najib, Abdelaziz Elfazziki, Mohamed Nezar Abourraja et al. • IEEE Access (2017)

Risk evaluation of the containers remains a difficult task, often due to incomplete or ambiguous information on containers. In addition, the evaluation process needs to be adapted on an ongoing basis to cope with emerging risk factors. Furt...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2017.2746838

Artificial Intelligence Review

Amal Kilani, Ahmed Ben Hamida, Habib Hamam • IGI Global eBooks (2017)

In this paper, we present a profound literature review of the Artificial Intelligence (AI). After defining it, we briefly cover its history and enumerate its principal fields of application. We name for example information system, commerce,...

OPENALEX DOI: https://doi.org/10.4018/978-1-5225-2255-3.ch010

Unsupervised machine learning identifies distinct ALS molecular subtypes in post-mortem motor cortex and blood expression data

Heather Marriott, Renata Kabiljo, Guy P Hunt, Ahmad Al Khleifat et al. • Acta Neuropathologica Communications (2023)

Abstract Amyotrophic lateral sclerosis (ALS) displays considerable clinical and genetic heterogeneity. Machine learning approaches have previously been utilised for patient stratification in ALS as they can disentangle complex disease lands...

DOAJ Open Access (DOAJ) DOI: 10.1186/s40478-023-01686-8

An automated deep learning framework for brain tumor classification using MRI imagery

Muhammad Aamir, Ziaur Rahman, Uzair Aslam Bhatti, Waheed Ahmed Abro et al. • Scientific Reports (2025)

Abstract The precise and timely diagnosis of brain tumors is essential for accelerating patient recovery and preserving lives. Brain tumors exhibit a variety of sizes, shapes, and visual characteristics, requiring individualized treatment s...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41598-025-02209-2

IEEE Access Special Section Editorial: 5G and Beyond Mobile Wireless Communications Enabling Intelligent Mobility

Ke Guan, Markus Rupp, Thomas Kurner, Cesar Briso et al. • IEEE Access (2020)

Increasing urbanization is one major trend that shapes tomorrow’s society; by 2050, more than 85% of the developed world’s population will live in a comparatively small number of ever-growing cities. Within such cities ...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2020.3037635

Artificial intelligence in glaucoma

Chengjie Zheng, Thomas V. Johnson, Aakriti Garg Shukla, Michael Vincent Boland • Current Opinion in Ophthalmology (2018)

PURPOSE OF REVIEW: The use of computers has become increasingly relevant to medical decision-making, and artificial intelligence methods have recently demonstrated significant advances in medicine. We therefore provide an overview of curren...

OPENALEX DOI: https://doi.org/10.1097/icu.0000000000000552

Creativity and Artificial Intelligence

Francisco C. Pereira (2007)

Creativity and Artificial Intelligence: A Conceptual Blending Approach takes readers into a computationally plausible model of creativity. Inspired by a thorough analysis of work on creativity from the areas of philosophy, psychology, cogni...

OPENALEX DOI: https://doi.org/10.1515/9783110198560