Indexing - Submitted for inclusion in:
Web of Science, Compendex, Scopus, DBLP, EU Digital Library, and more
Publication
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- Credits are awarded to all authors based on review, but regardless of acceptance
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Paper Submission is now open for the 1st edition of ICCIGAI! Check out the Call for Papers.ICCIGAI 2024 supports revolutionary EAI Community Review, find out more here.Every author receives EAI Index credits – regardless of acceptance. Learn more about EAI’s Recognition Program here.Get real feedback on your presentation from other registrants via EAI Compass.
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About ICCIGAI 2024
Machine Intelligence with Generative AI is currently one of the most trending topics with its application in almost all fields of life. It is not only accelerating the development of new products in healthcare industry but also automatizing the generation of new and synthetic content making it easier to train and improve machine learning models. One of the biggest achievements of Generative AI has been in the healthcare domain with drug discovery, personalized care, differentially private synthetic data generation, operational efficiency, and many more.
Generative AI models like Generative Adversarial Networks, and Variational Autoencoders are employed to generate synthetic medical images, aiding in data augmentation, facilitating disease diagnosis, and enabling advanced medical imaging research. Additionally, generative AI techniques are utilized for creating realistic electronic health records (EHRs) and simulated patient data, supporting privacy-preserving data sharing, and empowering innovative studies for personalized medicine and drug development. NLP models like ClinicalBERT use transformer-based deep learning architecture to understand and represent contextual information in large clinical text datasets, such as electronic health records (EHRs) and medical literature, and can better grasp medical terminologies, domain-specific language, and contextual nuances that are unique to the healthcare field. In this presentation, we will delve into the realm of Machine Intelligence with Generative AI and explore its profound implications in the healthcare domain.
Topics
We welcome contributions from the following fields:
- Image Processing and Medical Imaging
- Pattern Recognition
- Statistical Analysis
- Accurate Diagnosis
- Virtual Health Support
- Targeted Treatment
- Automated Image Diagnosis
- Drug Discovery
- Machine Assisted Surgery
- Data Analysis and Decision Making
Publication
All registered papers will be submitted for publishing by Springer and made available through SpringerLink Digital Library.
Proceedings will be submitted for inclusion in leading indexing services, such as Web of Science, Compendex, Scopus, DBLP, EU Digital Library, Google Scholar, IO-Port, MathSciNet, Inspec, and Zentralblatt MATH.
All registred papers will be considered for publication in EAI Transactions:
- EAI Endorsed Transactions on Scalable Information Systems (Scopus, WoS, Ei Compendex)
- EAI Endorsed Transactions on Industrial Networks and Intelligent Systems (Scopus, Ei Compendex)
- EAI Endorsed Transactions on Energy Web (Scopus, Ei Compendex)
- EAI Endorsed Transactions on Pervasive Health and Technology (Scopus, Ei Compendex)
With 4 additional journals:
Decision Analytics Journal (Elsevier), Healthcare Analytics (Elsevier), International Journal of Applied Decision Sciences (INDERSCIENCE), International Journal of Advances in Applied Sciences (Scopus))
About EAI
This event is organized by EAI.
EAI – European Alliance for Innovation is a non-profit organization and a professional community established in cooperation with the European Commission to empower the global research and innovation, and to promote cooperation between European and International ICT communities.
EAI’s vision is to foster excellence in research and innovation on the principles of transparency, objectivity, equality, and openness. Our guiding principle is community cooperation to create better research, provide fair recognition of excellence and transform best ideas into commercial value proposition.
EAI‘s mission is to create an environment that rewards excellence transparently, and builds recognition objectively regardless of age, economic status or country of origin, where no membership fees or closed door committees stand in the way of your research career.
Through these shared values, EAI leads the way toward advancing the world of research and innovation, empowering individuals and institutions for the good of society to fully benefit from the digital revolution.
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