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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

A review of optimization strategies for deep and machine learning in diabetic macular edema

A. M. Mutawa, Khalid Sabti, Bibin Shalini Sundaram Thankaleela, Seemant Raizada • Frontiers in Artificial Intelligence (2026)

Diabetic macular edema (DME) is a primary contributor to visual impairment in diabetic patients, necessitating precise and prompt analysis for optimal treatment. Recent breakthroughs in deep learning (DL) and machine learning (ML) have yiel...

DOAJ Open Access (DOAJ) DOI: 10.3389/frai.2026.1684752

A bibliometric analysis of industry 4.0 digital manufacturing and smart technologies for sustainable development

Ferhat Yilmaz, Zeynep Ozguner • Discover Sustainability (2026)

Abstract This study provides a broad bibliometric analysis of Industry 4.0 as well as technology-based production systems within the appropriate scientific literature to target the description of the dynamic structure, intellectual foundati...

DOAJ Open Access (DOAJ) DOI: 10.1007/s43621-026-03275-w

Predictive digital twin for optimizing patient-specific radiotherapy regimens under uncertainty in high-grade gliomas

Anirban Chaudhuri, Graham Pash, David A. Hormuth, David A. Hormuth et al. • Frontiers in Artificial Intelligence (2023)

We develop a methodology to create data-driven predictive digital twins for optimal risk-aware clinical decision-making. We illustrate the methodology as an enabler for an anticipatory personalized treatment that accounts for uncertainties ...

DOAJ Open Access (DOAJ) DOI: 10.3389/frai.2023.1222612

A satellite-derived, ground-measurement-independent monthly PM2.5 mass concentration dataset over China during 2000 - 2015

Ying Zhang, Zhengqiang Li, Yuanyuan Wei, Zongren Peng • Big Earth Data (2021)

Following the accelerated development of urbanization and industrialization, atmospheric particulate matter has become a significant threat to public health globally. Environmental health studies usually use the mass concentration of fine p...

DOAJ Open Access (DOAJ) DOI: 10.1080/20964471.2021.1918908

How artificial intelligence will change the future of marketing

Thomas H. Davenport, Abhijit Guha, Dhruv Grewal, Timna Breßgott • Journal of the Academy of Marketing Science (2019)

Abstract In the future, artificial intelligence (AI) is likely to substantially change both marketing strategies and customer behaviors. Building from not only extant research but also extensive interactions with practice, the authors propo...

OPENALEX cc-by DOI: https://doi.org/10.1007/s11747-019-00696-0

The potential for artificial intelligence in healthcare

Thomas H. Davenport, Ravi Kalakota • Future Healthcare Journal (2019)

The complexity and rise of data in healthcare means that artificial intelligence (AI) will increasingly be applied within the field. Several types of AI are already being employed by payers and providers of care, and life sciences companies...

OPENALEX cc-by-nc-nd DOI: https://doi.org/10.7861/futurehosp.6-2-94 PMC: 6616181

Designing novel linagliptin analogs through combined generative artificial intelligence, molecular docking, molecular dynamics simulation, and binding energy estimation for targeting fibroblast activation protein

Mingsong Shi, Mingsong Shi, Zhi Yang, Yuhan Yang et al. • Frontiers in Chemistry (2026)

Fibroblast activation protein (FAP) is a highly specific biomarker overexpressed in cancer-associated fibroblasts, making it a promising diagnostic target. Developing novel high-affinity molecular probes for FAP-targeted diagnostics remains...

DOAJ Open Access (DOAJ) DOI: 10.3389/fchem.2026.1848970

Meta-surface plasmon resonance microscopy for sensitive, high-throughput, and long-term label-free analysis of cell adhesion dynamics

Mingqian Chen, Wen Li, Taoyu Hu, Jiaxiang Chang et al. • Journal of Nanobiotechnology (2025)

Abstract Quantitative, label-free monitoring of dynamic cell adhesion remains challenging. Meta-Surface Plasmon Resonance Microscopy (Meta-SPRM) is a novel platform integrating bright-field microscopy with engineered Meta-SPR nanocup arrays...

DOAJ Open Access (DOAJ) DOI: 10.1186/s12951-025-03828-7

Preoperative and Prognostic Prediction of Microvascular Invasion in Hepatocellular Carcinoma: A Review Based on Artificial Intelligence

Yu Jiang Master of Engineering, Kang Wang Master of Medicine, Yu-Ran Wang Master of Engineering, Yan-Jun Xiang Master of Medicine et al. • Technology in Cancer Research & Treatment (2023)

Microvascular invasion of hepatocellular carcinoma is an important factor affecting tumor recurrence after liver resection and liver transplantation. There are many ways to classify microvascular invasion, however, an international consensu...

DOAJ Open Access (DOAJ) DOI: 10.1177/15330338231212726

The Extent of Using Artificial Intelligence Technologies in Enrichment Programs in Saudi Talented Centres

Leena Ahmad Alfarani, Seham Saleh Alnafea • Scientific Journal of King Faisal University: Humanities and Management Sciences (2020)

This study aimed to identify the extent of, as well as the obstacles encountered, while using artificial intelligence technologies in enrichment programs in Saudi gifted and talented centres. A descriptive analytical approach was used and a...

DOAJ Open Access (DOAJ) DOI: https://doi.org/10.37575/h/edu/2198

Scan Your Life in the Digital Era

Roxana-Daniela PAUN • Annals of Spiru Haret University Economic Series (2023)

Distance doesn't separate people, silence does!" Artificial intelligence is a reality and it evolves every day, it simplifies life where it is used in the human’s interest, being already applied in many fields. Is there any risk of moving a...

DOAJ Open Access (DOAJ)