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The Integration of Cone Beam Computed Tomography, Artificial Intelligence, Augmented Reality, and Virtual Reality in Dental Diagnostics, Surgical Planning, and Education: A Narrative Review

Aida Meto, Gerta Halilaj • Applied Sciences (2025)

(1) Background: Advancements in dental imaging technologies have significantly transformed diagnostic and surgical practices. The integration of cone beam computed tomography (CBCT), artificial intelligence (AI), augmented reality (AR), and...

DOAJ Open Access (DOAJ) DOI: 10.3390/app15116308

Artificial Intelligence

James Gips • Environment and Planning B Planning and Design (1979)

The field of artificial intelligence is reviewed. The work of George Stiny and myself on design and criticism is discussed briefly in terms of a paradigm of artificial intelligence research....

OPENALEX DOI: https://doi.org/10.1068/b060353

Artificial Intelligence in Drug Design

Gerhard Heßler, Karl H. Baringhaus • Molecules (2018)

Artificial Intelligence (AI) plays a pivotal role in drug discovery. In particular artificial neural networks such as deep neural networks or recurrent networks drive this area. Numerous applications in property or activity predictions like...

OPENALEX cc-by DOI: https://doi.org/10.3390/molecules23102520 PMC: 6222615

Assessing climate and land use impacts on surface water yield using remote sensing and machine learning

Amanuel Kumsa Bojer, Muluneh Woldetsadik Abshare, Fitsum Mesfin, Ayad M. Fadhil Al-Quraishi • Scientific Reports (2025)

Abstract Climate and land use changes are critical factors affecting watershed water yields, with significant implications for water resources at both local and regional levels. This study examined the combined effects of temporal and spati...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41598-025-03493-8

Explainable artificial intelligence: A survey

Filip Karlo Došilović, Mario Brčić, Nikica Hlupić • International Convention on Information and Communication Technology, Electronics and Microelectronics (2018)

In the last decade, with availability of large datasets and more computing power, machine learning systems have achieved (super)human performance in a wide variety of tasks. Examples of this rapid development can be seen in image recognitio...

OPENALEX DOI: https://doi.org/10.23919/mipro.2018.8400040

Using LLMs for Augmenting Hierarchical Agents with Common Sense Priors

Bharat Prakash, Tim Oates, Tinoosh Mohsenin • Proceedings of the International Florida Artificial Intelligence Research Society Conference (2024)

Solving long-horizon, temporally-extended tasks using Reinforcement Learning (RL) is challenging, compounded by the common practice of learning without prior knowledge (or tabula rasa learning). Humans can generate and execute plans with te...

DOAJ Open Access (DOAJ) DOI: 10.32473/flairs.37.1.135602

Artificial Intelligence in Nuclear Medicine

Felix Nensa, Aydın Demircioğlu, Christoph Rischpler • Journal of Nuclear Medicine (2019)

Despite the great media attention for artificial intelligence (AI), for many health care professionals the term and the functioning of AI remain a "black box," leading to exaggerated expectations on the one hand and unfounded fears on the o...

OPENALEX Open Access DOI: https://doi.org/10.2967/jnumed.118.220590

Development of a BIM-based AI-driven matching tool for LCA datasets

Dino Petrosa, Pamela Haverkamp, Jana Gerta Backes, David Crampen et al. • Discover Sustainability (2025)

Abstract The construction sector significantly contributes to environmental issues and often relies on Life Cycle Assessment (LCA) for the quantification and optimization of its environmental impacts. One of the most time- and labour-intens...

DOAJ Open Access (DOAJ) DOI: 10.1007/s43621-025-02203-8

Generating preferred plans with ethical features

Martin Jedwabny, Pierre Bisquert, Madalina Croitoru • Proceedings of the International Florida Artificial Intelligence Research Society Conference (2021)

Normative ethics has been shown to help automated planners take ethically aware decisions. However, state- of-the-art planning technologies don’t provide a sim- ple and direct way to support ethical features. Here, we propose a new theoreti...

DOAJ Open Access (DOAJ) DOI: 10.32473/flairs.v34i1.128492

Artificial intelligence in radiotherapy

Sarkar Siddique, James C. L. Chow • Reports of Practical Oncology & Radiotherapy (2020)

Artificial intelligence (AI) has already been implemented widely in the medical field in the recent years. This paper first reviews the background of AI and radiotherapy. Then it explores the basic concepts of different AI algorithms and ma...

OPENALEX cc-by-nc-nd DOI: https://doi.org/10.1016/j.rpor.2020.03.015 PMC: 7321818

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

Fuzzy harmonic mean technique for solving fully fuzzy multilevel multiobjective linear programming problems

E. Fathy, A.E. Hassanien • Alexandria Engineering Journal (2022)

This paper illustrates how the fuzzy harmonic mean technique can efficiently solve fully fuzzy multilevel multiobjective linear programming (FFMMLP) problems. First, at each level, the FFMMLP problem can be converted into three crisp multio...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.aej.2022.01.021