2017 International Workshop on “ARTIFICIAL INTELLIGENCE WITH APPLICATION IN HEALTH” WAIAH2017

Bari, 14-17 Novembre 2017, International Workshop on “ARTIFICIAL INTELLIGENCE WITH APPLICATION IN HEALTH” (WAIAH2017) 

The Workshop intends to provide a forum for:

• researchers,
• enterprises
• developers

to share and discuss  advances in the field of Pattern Recognition, Signal Processing and Artificial Intelligence applied to medicine and health care. The  workshop covers theoretical and practical aspects as well as technologies and systems.

Topics of interest

Topics of interest include, but are not limited to:

·      Pattern Recognition in Medicine

·      Applications of AI in Health Care

·       Knowledge Management of Medical Data

·       Data Mining and Knowledge Discovery in Medicine

·       Health Care Information Systems

·       Clinical Information Systems

·       Medical Expert Systems

·       Personal medical feature data

·       Medical device technologies

·       Diagnoses and Therapy Support Systems

·       Machine Learning-based Medical Systems

·       Ontology and Medical Information

·       Medical Signal and Image Processing and Techniques

·       Ambient Intelligence and Pervasive Computing in Medicine and Health Care

·       Brain-computer interfaces

·       Deformable object tracking

·       Medical image Analysis

·       VR/AR in medical education, diagnosis and surgery

·       Biometrics

·       Cognitive Science

·       Medical Imaging

Manuscripts should be formatted using the Springer LNCS style (formatting instructions are available at http://www.springer.de/comp/lncs/authors.html).

All papers will be peer reviewed and final copies of papers for inclusion to the conference proceedings will be published on CEUR as “CEUR Workshop Proceedings WAIAH Series” (Scopus indexed).

Dual/Double submissions: In submitting a manuscript as a full-paper to the WAIAH 2017 Workshop, authors acknowledge that no paper substantially similar in content has been published in or submitted to other journals, conferences, or workshops.

Workshop Chairs

–  Donato Impedovo, University of Bari

– Giuseppe Pirlo, University of Bari

 

The Workshop intends to provide a forum for:

• researchers,
• enterprises
• developers

to share and discuss  advances in the field of Pattern Recognition, Signal Processing and Artificial Intelligence applied to medicine and health care. The  workshop covers theoretical and practical aspects as well as technologies and systems.

Topics of interest

Topics of interest include, but are not limited to:

·      Pattern Recognition in Medicine

·      Applications of AI in Health Care

·       Knowledge Management of Medical Data

·       Data Mining and Knowledge Discovery in Medicine

·       Health Care Information Systems

·       Clinical Information Systems

·       Medical Expert Systems

·       Personal medical feature data

·       Medical device technologies

·       Diagnoses and Therapy Support Systems

·       Machine Learning-based Medical Systems

·       Ontology and Medical Information

·       Medical Signal and Image Processing and Techniques

·       Ambient Intelligence and Pervasive Computing in Medicine and Health Care

·       Brain-computer interfaces

·       Deformable object tracking

·       Medical image Analysis

·       VR/AR in medical education, diagnosis and surgery

·       Biometrics

·       Cognitive Science

·       Medical Imaging

Manuscripts should be formatted using the Springer LNCS style (formatting instructions are available at http://www.springer.de/comp/lncs/authors.html).

All papers will be peer reviewed and final copies of papers for inclusion to the conference proceedings will be published on CEUR as “CEUR Workshop Proceedings WAIAH Series” (Scopus indexed).

Dual/Double submissions: In submitting a manuscript as a full-paper to the WAIAH 2017 Workshop, authors acknowledge that no paper substantially similar in content has been published in or submitted to other journals, conferences, or workshops.

Workshop Chairs

–  Donato Impedovo, University of Bari

– Giuseppe Pirlo, University of Bari