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CFP : Special track on "AI in Healthcare" (AIH 20201) at IEA AIE 2021. Deadline: 15th December
Posted by:
webmasterphilfv
Date: October 10, 2020 05:36PM
Special Session on AI in Healthcare (AIH2021)
https://ieaaie2021.wordpress.com/special-session-7-aih/
34th International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems (IEA/AIE 2021)
Overview
Healthcare has always been an important area, for both the governments and the population, where the technology has been playing important roles in the diagnosis and treatment of patients. Recent reports indicate that the healthcare sector will experience an important growth in the use of new technologies such as artificial intelligence (AI). AI is a disruptive technology with the potential to revolutionize health and social care applications. While AI has the potential of delivering significant health benefits, it is apparent that there are still significant practical challenges, as well as ethical and regulatory concerns associated with the use of AI in healthcare.
We intend to offer a venue for exchanging ideas among participants from different disciplines, Artificial Intelligence, Medicine, and Public Health. This special session will provide a forum for international researchers and practitioners to share and discuss their original and interesting work on addressing new challenges and research issues in the area.
Scope
Topics of interest include but are not limited to the use of AI, machine learning and deep learning to:
Ethics and regulation
Accessible diagnostic and prognostic systems
Tracking infections and health monitoring
Health equity
Fairness and bias in AI/ML systems
Generalisation across populations or systems
Democratising AI health research
Improving patient participation in health
Data collections, benchmarking, and performance evaluation
Non-traditional delivery of healthcare
Prediction, diagnosis, and treatment
Medical imaging: segmentation, classification, etc.
Ultrasound and audio data analysis
Deep learning for multi-omics (genomics, proteomics, etc.)
Predictive analysis using medical data (patients flow, readmissions, etc.)
AI for performance improvement in healthcare
Predicting and forecasting epidemic outbreaks
Predicting health risks from patient data
Vaccines and drugs development
AI for personal health management
AI for medical resource management
AI-based systems for training health professionals
Computer-aided automated diagnosis
Important Dates
Submission deadline: December 15, 2020
Final Notification: February 28, 2021
Registration: April 1, 2021
Camera Ready: April 1, 2021
Conference: July 26 –29, 2021
Submission
We are inviting original research submissions (FULL 12 pages) and work-in-progress (SHORT 6 pages). Submitted papers must be formatted using the Springer LNCS/LNAI style and follow guidelines of the IEA AIE 2021 conference (https://ieaaie2021.wordpress.com/ ).
Submission Site: https://cmt3.research.microsoft.com/IEAAIE2021/Submission/Manage
Organizers
Dr. Moulay Akhloufi, PRIME research group, Department of Computer Science, University of Moncton, Moncton, NB, Canada
Dr. Yun Sing Koh, The University of Auckland, New Zealand
Professor Gillian Dobbie, The University of Auckland, New Zealand
Dr. Bardia Yousefi, Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
Dr. Edmond Zhang, Orion Health, New Zealand
Dr. Zhijin Wang, College of Computer Engineering, Jimei University, China
Professor Philippe Fournier-Viger, Harbin Institute of Technology (Shenzhen), Shenzhen, China
https://ieaaie2021.wordpress.com/special-session-7-aih/
34th International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems (IEA/AIE 2021)
Overview
Healthcare has always been an important area, for both the governments and the population, where the technology has been playing important roles in the diagnosis and treatment of patients. Recent reports indicate that the healthcare sector will experience an important growth in the use of new technologies such as artificial intelligence (AI). AI is a disruptive technology with the potential to revolutionize health and social care applications. While AI has the potential of delivering significant health benefits, it is apparent that there are still significant practical challenges, as well as ethical and regulatory concerns associated with the use of AI in healthcare.
We intend to offer a venue for exchanging ideas among participants from different disciplines, Artificial Intelligence, Medicine, and Public Health. This special session will provide a forum for international researchers and practitioners to share and discuss their original and interesting work on addressing new challenges and research issues in the area.
Scope
Topics of interest include but are not limited to the use of AI, machine learning and deep learning to:
Ethics and regulation
Accessible diagnostic and prognostic systems
Tracking infections and health monitoring
Health equity
Fairness and bias in AI/ML systems
Generalisation across populations or systems
Democratising AI health research
Improving patient participation in health
Data collections, benchmarking, and performance evaluation
Non-traditional delivery of healthcare
Prediction, diagnosis, and treatment
Medical imaging: segmentation, classification, etc.
Ultrasound and audio data analysis
Deep learning for multi-omics (genomics, proteomics, etc.)
Predictive analysis using medical data (patients flow, readmissions, etc.)
AI for performance improvement in healthcare
Predicting and forecasting epidemic outbreaks
Predicting health risks from patient data
Vaccines and drugs development
AI for personal health management
AI for medical resource management
AI-based systems for training health professionals
Computer-aided automated diagnosis
Important Dates
Submission deadline: December 15, 2020
Final Notification: February 28, 2021
Registration: April 1, 2021
Camera Ready: April 1, 2021
Conference: July 26 –29, 2021
Submission
We are inviting original research submissions (FULL 12 pages) and work-in-progress (SHORT 6 pages). Submitted papers must be formatted using the Springer LNCS/LNAI style and follow guidelines of the IEA AIE 2021 conference (https://ieaaie2021.wordpress.com/ ).
Submission Site: https://cmt3.research.microsoft.com/IEAAIE2021/Submission/Manage
Organizers
Dr. Moulay Akhloufi, PRIME research group, Department of Computer Science, University of Moncton, Moncton, NB, Canada
Dr. Yun Sing Koh, The University of Auckland, New Zealand
Professor Gillian Dobbie, The University of Auckland, New Zealand
Dr. Bardia Yousefi, Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
Dr. Edmond Zhang, Orion Health, New Zealand
Dr. Zhijin Wang, College of Computer Engineering, Jimei University, China
Professor Philippe Fournier-Viger, Harbin Institute of Technology (Shenzhen), Shenzhen, China