AI (artificial intelligence) is the simulation of human intelligence processes by machines, especially computer systems. The primary aim of health-related AI applications is to analyze relationships between prevention or treatment techniques and patient outcomes. Artificial intelligence (AI) in healthcare is the use of algorithms and software to approximate human cognition in the analysis of complex medical data. Specifically, AI is the ability for computer algorithms to approximate conclusions without direct human input. Systems are needed that can reduce the burden on physicians by deriving precise information about a patient’s condition.

Original, unpublished contributions are solicited in all aspects of AI with healthcare, development of algorithm, machine learning, and Internet of Things, from theory to systems and to applications. We invite all the prospective authors and researchers to participate and contribute their research papers discussing original research under the following tracks.

HEALTHCARE: Artificial Intelligence, Data Mining
- Healthcare diagnostics
- Medical imaging
- Computational advances in clinical practices
- Non-invasive diagnostics
- Large scale health data- Imaging data, genomic data, Socio-emotional data, behavioral data etc
- Open source health innovation platform
- Chronic disease management systems
- Precision healthcare/ personalized healthcare
- Clinical data science

HEALTHCARE: Issues, Policies and Security
- Opportunities, Policies and regulatory landscape
- Issues- ethical, legal and cultural considerations
- Standardization of medical apps
- Privacy in personal mobile apps
- Improving patient experiences
- Public health bioinformatic

HEALTHCARE: Devices, Systems and Innovative Technology
- Personal network devices and apps
- AI wearable for healthcare
- Smart system for remote healthcare
- Integrated systems
- Electronic medical data
- Complex physiological information,