Connectionists: Call for papers IEEE J-BHI special issue: Trustworthy and Collaborative AI for Personalised Healthcare Through Edge-of-Things

[Zhao Ren]

Dear all,

we are recently organising a special issue on Trustworthy and 
Collaborative AI for Personalised Healthcare Through Edge-of-Things in 
IEEE Journal of Biomedical and Health Informatics (J-BHI) (Impact 
Factor: 7.021).

We kindly invite you and your colleagues who are interested to 
contribute an article. The special issue will highlight, but not be 
limited to the following topics:
*Trustworthy AI models for health, medicine, biology, and biomedical 
applications
*AI-driven Edge of Things infrastructure for healthcare
*Discussion of the trade-off between explainability and performance of 
machine learning
*Development of model-specific or model-agnostic approaches for 
explaining machine learning models
*Generation and detection of adversarial attacks for safety in AI 
systems for personalised healthcare
*Federated Learning for data privacy in AI systems for personalised 
healthcare
*Fairness and bias issues in AI systems for personalised healthcare
*Designing integrating virtual agents for healthcare usages
*Collaborative robots for healthcare usages


More details can be found in the following link:

https://www.embs.org/jbhi/special-issues-page/trustworthy-and-collaborative-ai-for-personalised-healthcare-through-edge-of-things/



Thanks you and best regards,

Zhao Ren


-- 
Dr.-Ing. Zhao Ren
Researcher
Forschungszentrum L3S
Leibniz Universität Hannover
Lange Laube 6, Room 611
30159 Hannover
Germany

E-Mail: zren at l3s.de