1st Workshop on Artificial Intelligence for Next-Generation Diagnostic Imaging (AI4NextGenDI'22)
Sofia, Bulgaria, 4 - 7 September, 2022
The application of artificial intelligence (AI) becomes nowadays one of the most promising areas of health innovation. Among the most promising clinical applications of AI is diagnostic imaging, where AI algorithms can boost processing power of huge, heterogeneous medical image resources and therefore uncover disease characteristics that fail to be found by the naked eyes. AI can optimize radiologists' workflows and facilitate quantitative assessments of radiographic characteristics using radiomics approach. Nowadays refinement of AI imaging studies is required by consistent selection of clinically meaningful and patient-related endpoints.
The workshop on Artificial Intelligence for Next-Generation Health and Medical Applications – AI4NextGenHMA'22 - provides an interdisciplinary forum for researchers, developers, radiologist and clinicians to present and discuss latest advances in research work related to theoretical and practical applications of AI in diagnostic imaging and related areas. The workshop aims to bring together specialists for exchanging ideas and promote fruitful discussions.
The list of topics includes, but is not limited to:
- AI for diagnostic imaging and digital pathology
- DL models and architectures for medical image analysis
- Explainable AI (XAI) for diagnostic imaging
- Radiomics and quantitative image analysis
- Structured reporting in radiology
- Standardization of data annotation for AI
- Clinical decision support systems, especially integrating results of image analysis
- Clinical pathways based on image analysis and integration of clinical data
- Biomedical ontologies, terminologies, standards and clinical guidelines
- Data mining and knowledge discovery in radiology
- Domain knowledge representation and integration into DL/ML models in medical tasks
- Precision medicine and personalized medicine based on diagnostic imaging
- Natural language processing for radiological report analysis
- Medical signal processing and analysis
- Social and ethical aspects of AI in radiology
- Authors should submit draft papers (as Postscript, PDF or MSWord file).
- The total length of a paper should not exceed 10 pages IEEE style (including tables, figures and references). IEEE style templates are available here.
- Papers will be refereed and accepted on the basis of their scientific merit and relevance to the workshop.
- Preprints containing accepted papers will be published on a USB memory stick provided to the FedCSIS participants.
- Only papers presented at the conference will be published in Conference Proceedings and submitted for inclusion in the IEEE Xplore® database.
- Conference proceedings will be published in a volume with ISBN, ISSN and DOI numbers and posted at the conference WWW site.
- Conference proceedings will be submitted for indexation according to information here.
- Organizers reserve right to move accepted papers between FedCSIS events.