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Artificial Intelligence in Clinical Decision Support: a Focused Literature Survey

Stefania Montani, Manuel Striani
2019 IMIA Yearbook of Medical Informatics  
Results: We selected 75 papers, 49 of which describe approaches in the data-driven AI area, 20 present purely knowledge-based DSSs, and 6 adopt hybrid approaches relying on both formalized knowledge and  ...  Objectives: This survey analyses the latest literature contributions to clinical decision support systems (DSSs) on a two-year period (2017-2018), focusing on the approaches that adopt Artificial Intelligence  ...  interoperability, or (3) were limited to the presentation of a preliminary design work.  ... 
doi:10.1055/s-0039-1677911 pmid:31419824 pmcid:PMC6697510 fatcat:77iix6cbbfdjbcq77h5sjss5ki

Special Issue Cognitive Buildings

Lavinia Chiara Tagliabue, Ibrahim Yitmen
2022 Applied Sciences  
Cognitive building is a pioneering topic to envision the future of our built environment [...]  ...  The MDPI management and staff are also to be congratulated for their untiring editorial support for the success of this project. Conflicts of Interest: The authors declare no conflict of interest.  ...  Acknowledgments: Thanks are due to all of the authors and peer reviewers for their valuable contributions to this Special Issue.  ... 
doi:10.3390/app12052460 fatcat:4cuzvn4dnbecleggmkhwisj4s4

A Review Of Artificial Intelligence In Simulation

Costas Tsatsoulis
1990 ACM SIGART Bulletin  
This survey will discuss the current state-of-the-art of applying AI to simulation, and will present a detailed picture of research completed and in-progress.  ...  The recent surge of interest in Expert Systems and Artificial Intelligence (AI) has led many simulation researchers to point out the similarities between AI and simulation methodologies, and to commence  ...  In other words, it provided facilities to assist naive users of numerical simulations by providing explanation of the domain, the simulation, and so forth.  ... 
doi:10.1145/122388.1062342 fatcat:2ioxgqoyt5h4vb3uxv2bvuczjm

Towards Explainable Artificial Intelligence in Banking and Financial Services [article]

Ambreen Hanif
2021 arXiv   pre-print
We present an interactive evidence-based approach to assist human users in comprehending and trusting the results and output created by AI-enabled algorithms.  ...  the result of AI-enabled algorithms.  ...  A Survey Of Methods For Explaining Black Box Models. ACM computing surveys (CSUR), 51:1–42, 2018. 29. P. Hall and N. Gill. Explain Your AI H2O Driverless AI, volume II.  ... 
arXiv:2112.08441v1 fatcat:egl7vitsajfrreymata7tcc7zi

The problem of space layout in architecture: A survey and reflections

Danny Lobos, Dirk Donath
2010 Arquitetura Revista  
However, in the end, we, the architects, have nothing on our desks to support our daily task in the office, not a single tool that generates a useful architectural floor-plan layout.  ...  One of the most important tasks of architects is the creation of a floor-plan layout for a building.  ...  Facility Layout Design: The goal of this piece of research was to develop and implement a model for Facility Layout Design in Architecture.  ... 
doi:10.4013/arq.2010.62.05 fatcat:wzy7bgsqhrf7vlodmdtzyww7gq

THE FACTORS THAT INFLUENCE ARTIFICIAL INTELLIGENCE IMPLEMENTATION AT PT PELINDO III (Case Study in Terminal Teluk Lamong Surabaya)

Pujiartini Pujiartini, Ulung Pribadi
2020 DIA Jurnal Ilmiah Administrasi Publik  
This tool can help performance and has a unique concept, namely, Go green (No pollution).  ...  The type of data used in this analysis is secondary data from library analysis surveys, research-related data from various sources, websites, and government documents that can facilitate the completion  ...  A. PRELIMINARY In Indonesia, the emergence of Internet-based network technology as a digital media has changed various aspects of people's lives, one of which is the economic aspect.  ... 
doi:10.30996/dia.v18i2.4312 fatcat:2atmxs2lkfgvrju2tnna4jqpom

Diagnostic Practices and Treatment for P. vivax in the InterEthnic Therapeutic Encounter of South-Central Vietnam: A Mixed-Methods Study

Thuan Thi Nguyen, Xa Xuan Nguyen, Maya Ronse, Quynh Truc Nguyen, Phuc Quang Ho, Duong Thanh Tran, Rene Gerrets, Kamala Thriemer, Benedikt Ley, Jutta Marfurt, Ric N. Price, Koen Peeters Grietens (+1 others)
2020 Pathogens  
A mixed-method study was conducted in south-central Vietnam to explore the factors that affect acceptability of G6PD testing, treatment-seeking behaviors, and adherence to current regimens.  ...  People sought a diagnosis if suspected of malaria fever but not if they perceived their fevers as mild.  ...  We are grateful for the collaboration of the Center for Disease Control in Ninh Thuan province, Bac Ai District Health Service and Phuoc Thang Commune Health Center.  ... 
doi:10.3390/pathogens10010026 pmid:33396538 pmcid:PMC7824694 fatcat:jku5lwbptjhjbiwolcfjnuftk4

From molecules to management: Adopting DNA-based methods for monitoring biological invasions in aquatic environments

John A. Darling, Andrew R. Mahon
2011 Environmental Research  
In addition to surveying current use of DNA-based tools for aquatic invasive species monitoring, we explore potential sources of uncertainty associated with molecular technologies and possibilities for  ...  Recent technological advances have driven rapid development of DNA-based methods designed to facilitate detection and monitoring of invasive species in aquatic environments.  ...  Acknowledgments The authors wish to recognize a number of people who assisted in compiling information on DNA-based methods currently being used to inform AIS management decisions: L. Dalton, A.  ... 
doi:10.1016/j.envres.2011.02.001 pmid:21353670 fatcat:xugrbebzafddjb4ul676v3uoza

Research Trends in Artificial Intelligence Applications in Human Factors Health Care: Mapping Review

Onur Asan, Avishek Choudhury
2021 JMIR Human Factors  
Despite advancements in artificial intelligence (AI) to develop prediction and classification models, little research has been devoted to real-world translations with a user-centered design approach.  ...  The review revealed a nascent but growing body of literature focusing on augmenting health care AI; however, little effort has been made to ensure ecological validity with user-centered design approaches  ...  Nikhil Shetty and Ms. Safa Elkefi, graduate students at Stevens Institute of Technology, for assisting us with the preliminary literature search.  ... 
doi:10.2196/28236 pmid:34142968 fatcat:oow4g56w6baw3p6tgfktstdcsq

A Research Agenda for Hybrid Intelligence: Augmenting Human Intellect With Collaborative, Adaptive, Responsible, and Explainable Artificial Intelligence

Zeynep Akata, Dan Balliet, Maarten de Rijke, Frank Dignum, Virginia Dignum, Guszti Eiben, Antske Fokkens, Davide Grossi, Koen Hindriks, Holger Hoos, Hayley Hung, Catholijn Jonker (+14 others)
2020 Computer  
State of the art AI has a long history of work on explanation.  ...  Lacave and Díez 16 survey methods of explanation for Bayesian networks and distinguish between the reasoning, model, and evidence for the decision.  ... 
doi:10.1109/mc.2020.2996587 fatcat:xpkduux6f5fgjcn7t5ktl73wge

Deriving Causal Explanation From Qualitative Model Reasoning

Alicia Y. C. Tang, Sharifuddin M. Zain, Noorsaadah A. Rahman, Rukaini Abdullah
2009 Zenodo  
This paper also presents the results of preliminary evaluation of QRiOM that reveal its explanation capability and usefulness.  ...  This paper discusses a qualitative simulator QRiOM that uses Qualitative Reasoning (QR) technique, and a process-based ontology to model, simulate and explain the behaviour of selected organic reactions  ...  The survey abided two objectives. First, it was designed to collect the students' attitude and receptive towards using a software tool.  ... 
doi:10.5281/zenodo.1054769 fatcat:wo5dtzsgcjghlalmyirotd3iwi

ACIPS: A Framework for Evaluating Patient Perception in the Introduction of AI-Enabled Healthcare [article]

Chinasa T. Okolo, Michelle González Amador
2021 arXiv   pre-print
approach that can provide a guiding base for all users involved.  ...  In healthcare, the role of AI is continually evolving and understanding the challenges its introduction poses on relationships between healthcare providers and patients will require a regulatory and behavioural  ...  Future Work Our proposed framework provides a strong foundation to expand literature regarding the study of public concerns with AI-based technologies and human-centered design of these systems.  ... 
arXiv:2111.04456v1 fatcat:mn6mptxferhgpj4aiyzlle5t5u

Responsible Artificial Intelligence (AI) for Value Formation and Market Performance in Healthcare: the Mediating Role of Patient's Cognitive Engagement

Pradeep Kumar, Yogesh K. Dwivedi, Ambuj Anand
2021 Information Systems Frontiers  
PLS-SEM analysis of 290 survey responses validates the theoretical framework and establishes responsible AI as a third-order factor.  ...  Owing to the nature of the services and the vulnerability of a large section of end-users, the topic of responsible AI has become the subject of widespread study and discussion.  ...  (Fox & James, 2020 ) AI-based processes are transparent to all stakeholders (TRP1) We ensure that the people are aware of actions and inferences (TRP2) All entities have obligations to procedural fairness  ... 
doi:10.1007/s10796-021-10136-6 pmid:33948105 pmcid:PMC8084266 fatcat:mkukurcatrb6rmvuxs2jzzdrha

Artificial intelligence applications in aircraft systems

1997 Expert systems with applications  
Air Operations Division at the DSTO Aeronautical and Maritime Research Laboratory is developing a capability in the use of Artificial Intelligence (AI), including knowledge based systems technology, in  ...  applications related to the operation and support of aircraft systems.  ...  Tracking eye movement Professor Terry Caelli, formerly at the University of Melbourne, and Tom Wild at the University of Melbourne.  ... 
doi:10.1016/s0957-4174(97)86756-5 fatcat:h5ixe5i2zbghba5yq3rwzp6d3m

D1.2 - Requirements Analysis

Enrico Abate-Daga
2021 Zenodo  
D1.2 summarizes the initial requirements analysis of the AI-SPRINT project. The outcome of this analysis is a list of requirements for all tools which will be evolved or developed within the project.  ...  AI-SPRINT framework will support AI applications data protection, architecture enhancement, agile delivery, runtime optimization, and continuous adaptation.  ...  For the first year we are planning to introduce support for different AI frameworks and tools using an iterative approach. Details are given in the month and Milestone-based list below.  ... 
doi:10.5281/zenodo.6372636 fatcat:yzgaso4bubck3ksymwyl4o7f4i
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