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Privacy-preserving Artificial Intelligence Techniques in Biomedicine [article]

Reihaneh Torkzadehmahani, Reza Nasirigerdeh, David B. Blumenthal, Tim Kacprowski, Markus List, Julian Matschinske, Julian Späth, Nina Kerstin Wenke, Béla Bihari, Tobias Frisch, Anne Hartebrodt, Anne-Christin Hausschild (+13 others)
2020 arXiv   pre-print
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

Reihaneh Torkzadehmahani, Reza Nasirigerdeh, David B Blumenthal, Tim Kacprowski, Markus List, Julian Matschinske, Julian Spaeth, Nina Kerstin Wenke, Jan Baumbach
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

Stephen Flowerday, Christos Xenakis
2022 Methods of Information in Medicine  
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]

Athanasios Alexiou, Maria Psixa, Panagiotis Vlamos
2011 IFIP Advances in Information and Communication Technology  
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

Bonnie Berger, Hyunghoon Cho
2019 Genome Biology  
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

Ioana Baldini, Clark Barrett, Antonio Chella, Carlos Cinelli, David Gamez, Leilani Gilpin, Knut Hinkelmann, Dylan Holmes, Takashi Kido, Murat Kocaoglu, William Lawless, Alessio Lomuscio (+8 others)
2019 The AI Magazine  
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

Mustafa Y. Topaloglu, Elisabeth M. Morrell, Suraj Rajendran, Umit Topaloglu
2021 Frontiers in Artificial Intelligence  
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

Mireya Martínez-García, Enrique Hernández-Lemus
2022 Frontiers in Medicine  
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

T. Vaikunth Pai
2019 Zenodo  
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

Chaitanya Baru, Michael Pozmantier, Ilkay Altintas, Stephen Baek, Jonathan Cohen, Laura Condon, Giulia Fanti, Raul Fernandez, Ethan Jackson, Upmanu Lall, Bennett Landman, Hai Li (+8 others)
2022 The AI Magazine  
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

Daniel Dajun Zeng, Hsinchun Chen, Fei-Yue Wang, Hillol Kargupta
2008 IEEE Transactions on Knowledge and Data Engineering  
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

Valeria Loscri, Cesar Marchal, Nathalie Mitton, Giancarlo Fortino, Athanasios V. Vasilakos
2014 IEEE Transactions on Nanobioscience  
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

Christopher C. Yang, Gondy Leroy, Sophia Ananiadou
2013 ACM Transactions on Management Information Systems  
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

Simon Fong, Yan Zhuang
2012 Journal of Biomedicine and Biotechnology  
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

Carlo Combi, Giuseppe Pozzi
2019 IMIA Yearbook of Medical Informatics  
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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