Special Tracks

1) Hospital 4.0
2) Medical Image and Video Analysis Using Deep Learning
3) Ushering a new era in cancer visualization through multidisciplinary approaches
4) Perspectives on patient accessible electronic health records (PAEHR)
5) Social data and medical data analytics
1) Hospital 4.0

The topics of interest will include but will be not limited to:

  • Clinical Decision Support Systems
  • Healthcare Cybersecurity
  • Smart, wireless, wearable sensors in Healthcare
  • Robotics and artificial intelligence in Healthcare
  • Technology in the service of Healthcare management
  • Data analytics
  • Digital support for personalized medicine
  • Ethics of Hospital 4.0

Mario Merone, Università Campus Bio-Medico di Roma, Italy
Tony Solomonides, Research Institute of the NorthShore University HealthSystem, Evanston, Illinois

For more information click here.

2) Medical Image and Video Analysis Using Deep Learning

Topic of interest include (but are not limited to):

  • Novel approaches for medical image/exam classification, object/lesion classification, organ/region/landmark localization, object/lesion detection, organ/substructure segmentation, lesion segmentation, and medical image registration using DL
  • Content-Based Image Retrieval (CBIR) of medical images using DL
  • Medical image content understanding using DL
  • Medical image generation and enhancement methods using DL
  • Multimodal (image/text) analysis using DL
  • Organ-specific (brain, eye, breast, heart, skin, lungs, abdomen, etc.), modality-specific (MRI, X-rays, PET, CT, color fundus images, etc.) and disease-specific image analysis using DL
  • Applications of DL for digital pathology and microscopy

Oge Marques, Florida Atlantic University, FL USA
Michael Alexander Riegler, Research Scientist @ Simula@HiOA and adjunct professor at Oslo University
Klaus Schoeffmann, Institute of Information Technology (ITEC) at Klagenfurt University, Austria

For more information click here.

3) Ushering a new era in cancer visualization through multidisciplinary approaches

Topics include but are not limited to:

  • In vivo imaging techniques
  • In vitro analysis
  • Fast image acquisition
  • Rapid high-throughput analysis (detection, treatment and monitoring)
  • Micro- and Nano- approaches
  • Cellular and Molecular pathways
  • Biomedical imaging and computer-based techniques
  • Clinical and translational techniques

Smitha Rao, Michigan Technological University
Marina Tanasova, Michigan Technological University

For more information click here.

4) Perspectives on patient accessible electronic health records (PAEHR):

Patient-focused researchers are encouraged to contribute with research papers highlighting patient perspective, including research on PAEHRs with a functionality that allows patients to add information to their medical records online. Reports of new initiatives related to PAEHRs are also of special interest. Apart from the above mentioned, topics of interest for this special track include, but are not limited to the following issues relating to PAEHR:

  • Patient attitudes towards online access
  • Healthcare professionals’ perspectives on patients’ online access
  • Privacy and security on patients’ online access
  • PAEHR as a mediator between patients and healthcare professionals
  • Impact on and possibilities for shared decision making
  • Regulatory frameworks in relation to e-health service for patients
  • Online access in the context of patients’ and professionals’ information behavior
  • Impact of medical record information and online access systems for patients and healthcare
  • Management perspectives to PAEHR
  • Competences and literacies for accessing medical record information online
  • Evaluation of online access systems
  • Effects on the work environment for healthcare professionals
  • Patient empowerment
  • Patient editable medical records
  • Studies comparing PAEHRs in different countries and/or contexts

Jonas Moll, Postdoctoral researcher at the Department of Information Technology, Uppsala University, Uppsala, Sweden
Isto Huvila, Professor at the Department of ALM, Uppsala University, Sweden
Rose-Mharie Åhlfeldt, Associate Professor at the School of Informatics, University of Skövde, Skövde, Sweden
Hanife Rexhepi, Ph.D. student at the School of Informatics, University of Skövde, Skövde, Sweden
Bridget Kane, Associate Professor Information Systems, Karlstad University, Sweden

5) Social data and medical data analytics

This is the second edition of the Special Track organised at CBMS 2017. The topics of interest will include (but are not limited to):

  • Challenges in social data analytics
  • Data management
  • Data curation
  • Opinion mining and sentiment analysis
  • Privacy-aware data mining algorithms
  • Data quality and veracity
  • Natural language processing and text-mining
  • Semantics
  • Trend discovery and analysis
  • Graph mining and community detection
  • Social sensors
  • IoT devices
  • Applications in social data analytics
  • Epidemiological analysis
  • Outbreak detection
  • Human behaviour
  • Medical skills and education
  • Personalized medicine
  • Diagnosis, prognosis and prognostics

Alejandro Rodríguez-González, Universidad Politécnica de Madrid, E.T.S de Ingenieros Informáticos
Athena Vakali, Department of Informatics, Aristotle University, AUTH Campus, 54126 Thessaloniki, Greece
Sebastian Ventura Soto, University of Cordoba, Department of Computers Science and Numerical Analysis
Takashi Okumura, Center for Public Health Informatics, National Institute of Public Health. 2-3-6 Minami, Wako-shi, Saitama 351-0197 Japan
Ernestina Menasalvas-Ruiz, Universidad Politécnica de Madrid. E.T.S de Ingenieros Informáticos. P.O. Box 28660, Campus de Montegancedo, Boadilla del Monte, Madrid, Spain
Myra Spiliopoulou, Otto-von-Guericke-University Magdeburg. Faculty of Computer Science, Germany

For more information click here.

Deadlines for Special Tracks are the same as for all other submissions.