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Privacy-preserving Artificial Intelligence Techniques in Biomedicine
[article]
2020
arXiv
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This paper provides a structured overview of recent advances in privacy-preserving AI techniques in biomedicine. ...
Artificial intelligence (AI) has been successfully applied in numerous scientific domains. ...
Cryptographic Techniques In biomedicine and GWAS in particular, cryptographic techniques have been used to collaboratively compute result statistics while preserving data privacy [39] [40] [41] [42] [ ...
arXiv:2007.11621v2
fatcat:qnmzqvqn5fgonjiwmudjlzwelm
Privacy-Preserving Artificial Intelligence Techniques in Biomedicine
2022
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This paper provides a structured overview of recent advances in privacy-preserving AI techniques in biomedicine. ...
Artificial intelligence (AI) has been successfully applied in numerous scientific domains. ...
The Author(s).Privacy-Preserving Artificial Intelligence Techniques in Biomedicine Torkzadehmahani et al. ...
doi:10.1055/s-0041-1740630
pmid:35062032
fatcat:rdwctzbx2vdsjnzkstqnflpbmm
Security and Privacy in Distributed Healthcare Environments
2022
Methods of Information in Medicine
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Acknowledgments The authors wish to thank the editors of Methods of Information in Medicine for supporting us through publishing this focus theme. ...
Next, there is a brief description of the different papers:
Privacy-preserving Artificial Intelligence Techniques in Biomedicine Torkzadehmahani et al. 3 in their recent work have reviewed the latest ...
advances in privacypreserving AI techniques applied to facilitate collaborative research in biomedicine that is currently being hindered by the privacy risks that emerge when training AI models on sensitive ...
doi:10.1055/a-1768-2966
pmid:35144306
fatcat:eldmdxemgvdfzbht5aybzbq2va
Ethical Issues of Artificial Biomedical Applications
[chapter]
2011
IFIP Advances in Information and Communication Technology
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While the plethora of artificial biomedical applications is enriched and combined with the possibilities of artificial intelligence, bioinformatics and nanotechnology, the variability in the ideological ...
Several issues concerning the effects of artificial biomedical applications will be discussed, considering the upcoming post humanism period. ...
techniques in Biomedicine, should respect the right of access to information, having the best scientific standards and encouraging creativity, flexibility and innovation with accountability to all the ...
doi:10.1007/978-3-642-23960-1_36
fatcat:mwhlm7jomjdhhnviewbulseiky
Emerging technologies towards enhancing privacy in genomic data sharing
2019
Genome Biology
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Here we discuss emerging privacy-enhancing technologies that can enable broader data sharing and collaboration in genomics research. ...
Traditional approaches to protect privacy have fundamental limitations. ...
data analysis workflows in biomedicine currently lack privacy-preserving alternatives that scale to realworld settings. ...
doi:10.1186/s13059-019-1741-0
pmid:31262363
pmcid:PMC6604426
fatcat:nld4ukwplbgevdlgqd5exh5jju
Reports of the AAAI 2019 Spring Symposium Series
2019
The AI Magazine
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Artificial Intelligence and Language Technologies; Story-Enabled Intelligence; Towards Artificial Intelligence for Collaborative Open Science; Towards Conscious AI Systems; and Verification of Neural ...
The titles of the nine symposia were Artificial Intelligence, Autonomous Machines, and Human Awareness: User Interventions, Intuition and Mutually Constructed Context; Beyond Curve Fitting — Causation, ...
Other presenters addressed privacy in online social networks and privacy-preserving machine learning. ...
doi:10.1609/aimag.v40i3.5181
fatcat:o6i6qvts25ccpm7nrw43tnwfeu
In the Pursuit of Privacy: The Promises and Predicaments of Federated Learning in Healthcare
2021
Frontiers in Artificial Intelligence
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Artificial Intelligence and its subdomain, Machine Learning (ML), have shown the potential to make an unprecedented impact in healthcare. ...
In this paper, we have discussed three FL challenges, namely: privacy of the model exchange, ethical perspectives, and legal considerations. ...
One of the early implementations of FL in biomedicine is the "privacy-preserving distributed algorithm to perform logistic regression (ODAL) across multiple clinical sites" that has achieved low bias and ...
doi:10.3389/frai.2021.746497
pmid:34693280
pmcid:PMC8528445
fatcat:ktrvsbz2xbhytawkv5c3mam4mq
Data Integration Challenges for Machine Learning in Precision Medicine
2022
Frontiers in Medicine
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In this regard, artificial intelligence and machine learning approaches can be used to build analytical models of complex disease aimed at prediction of personalized health conditions and outcomes. ...
Efficient data integration and management is key to the successful application of computational intelligence approaches to medicine. ...
EH-L acknowledges additional support from the 2016 Marcos Moshinsky Fellowship in the Physical Sciences. ...
doi:10.3389/fmed.2021.784455
pmid:35145977
pmcid:PMC8821900
fatcat:nxco4r4gsjdfnpbgoditxjptya
Big Data New Challenges, Tools and Techniques
2019
Zenodo
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Big data is a term for huge data sets having large, varied and complex structure with challenges, such as difficulties in data capture, data storage, data analysis and data visualizing for further processing ...
Privacy and Security Privacy in particular raises many concern as big data could be used to re-identify privacy-sensitive data even when this data has been anonymized [16] . ...
Artificial neural network (ANN) is a mature technique and has a wide range of application coverage. ...
doi:10.5281/zenodo.3236637
fatcat:auzs6mz6lzfu5gt23323xdjxt4
Enabling AI Innovation via Data and Model Sharing: An Overview of the Nsf Convergence Accelerator Track D
2022
The AI Magazine
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Their focus is on delivering tools, technologies, and techniques to assist in sharing data as well as data-driven models to enable AI innovation. ...
In September 2021, six of the eighteen projects described here were selected for phase II of the program, as noted in this article. ...
The efforts undertaken in Track D would help contribute to the creation of a national AI research infrastructure, as recommended by the National Security Commission on Artificial Intelligence (NSCAI 2021 ...
doi:10.1609/aimag.v43i1.19130
fatcat:q5qkrecdvzaztfglijrxhtnouu
Guest Editors' Introduction: Special Section on Intelligence and Security Informatics
2008
IEEE Transactions on Knowledge and Data Engineering
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The second paper by Nan Zhang and Wei Zhao, "Privacy Protection against Malicious Adversaries in Distributed Information Sharing Systems," aims to address privacy protection challenges in distributed information ...
developing and evaluating customized frameworks, methodologies, techniques, and systems to meet specific information processing and knowledge management challenges arisen in security-related applications ...
His research interests include distributed data mining, data mining in ubiquitous environment, and privacy-preserving data mining. Dr. ...
doi:10.1109/tkde.2008.124
fatcat:3av5jsbxxjg4bjnmwct4fxivj4
Security and Privacy in Molecular Communication and Networking: Opportunities and Challenges
2014
IEEE Transactions on Nanobioscience
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So far, security and privacy aspects related to the molecular communication systems have not been investigated at all and represent an open question that need to be addressed. ...
The main motivation of this paper lies on providing some first insights about security and privacy aspects of molecular communication systems, by highlighting the open issues and challenges and above all ...
authors investigate the relationship between the Swarm Intelligence and Artificial Immune System fields. ...
doi:10.1109/tnb.2014.2349111
pmid:25148668
fatcat:g4rvzvx23zff3mx6f6ytd26qda
Smart Health and Wellbeing
2013
ACM Transactions on Management Information Systems
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Healthcare informatics has drawn substantial attention in recent years. ...
In this article, we discuss some of the latest development and introduce several articles selected for this special issue. ...
AIME is a European conference, founded by the European Society for Artificial Intelligence in Medicine, to foster fundamental and applied research in the application of artificial intelligence techniques ...
doi:10.1145/2555810.2555811
fatcat:qougwwh4rbfpzgefdzpaxqzxty
Using Medical History Embedded in Biometrics Medical Card for User Identity Authentication: Privacy Preserving Authentication Model by Features Matching
2012
Journal of Biomedicine and Biotechnology
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The design of a privacy preserving model by backward inference is introduced in this paper. Some live medical data are used in experiments for validation and demonstration. ...
The challenge to overcome is preserving the user's privacy by choosing only the useful features from the medical data for use in authentication. ...
Some recent work applied computational intelligence techniques that include Artificial Neural Network combined with Rough Set Theory [7] for extracting decision rules from medical data, Classification ...
doi:10.1155/2012/403987
pmid:22550398
pmcid:PMC3328237
fatcat:knhb4oyyvvd7hnwvlzw2oqibde
Clinical Information Systems and Artificial Intelligence: Recent Research Trends
2019
IMIA Yearbook of Medical Informatics
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We also defined a taxonomy for the use of Artificial Intelligence (AI) techniques on healthcare data. In the light of these taxonomies, we report on the most relevant papers from the literature. ...
Intelligence (AI) techniques. ...
[34] in their paper published in the IEEE Journal of Biomedical and Health Informatics consider the problem of preserving the privacy of clinical data. ...
doi:10.1055/s-0039-1677915
pmid:31419820
pmcid:PMC6697548
fatcat:sp2t45gr2fauhg5tzwq3c2izki
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