November, 13th & 14th 2019
Palazzo Pirelli - Milan, Italy
Artificial Intelligence is increasingly becoming an enabling technology for all areas of health and well being, ranging from bioinformatics, to drug discovery, clinics, and health care. This conference aims at constituting a forum focused on the theme: How Artificial Intelligence is shaping the Future of Health, involving companies operating in the sector, start-ups, clinicians, researchers, and public administrators.
Nowadays Artificial Intelligence presents itself as a set of techniques ranging from the most advanced data analytics through deep neural network methodologies for the analysis of vast masses of data and multidimensional images, to personal assistants through NLP techniques, to robotics, to human-machine interaction trough virtual and augmented realty.
For these reasons, Artificial Intelligence is increasingly becoming an enabling technology for all areas of health and well being, ranging from bioinformatics, to drug discovery, clinics, and health care.
In recent years, various research projects at national and European level (H2020) have shown that through Artificial Intelligence it is possible to efficiently personalize health services for large populations.
Artificial Intelligence can then be regarded as a scalable approach to achieve better health outcomes at lower costs, supporting automation and personalization to improve value in public health.
The First Industrial Conference on Artificial Intelligence and Health (ICAIH 2019) aims at constituting a forum focused on the theme: “How Artificial Intelligence is shaping the Future of Health”.
This concept is underlined by the conference’s logo, where the formula F=Hai means Future = Health to the power of Artificial Intelligence, which points to how the next future of the health sector will be characterized by the improvement of Health through Artificial Intelligence.
Bioinformatics concerns the development of data- bases and algorithms for learning, managing and processing biological information. AI techniques con- stitute powerful tools for many bioinformatics ap- plications ranging from DNA sequencing, to protein classification, and to the analysis of gene expressions on DNA microarrays.
In the pharmaceutical industry the application of AI can enhance almost all stages of the drug discovery process, including the prelimi- nary but crucial stages of designing a drug’s chimica structure and investigating.
The applications of AI in Medicine let us to improve the quality of healthcare provided to patients.
Many fields benefit of AI innovative techniques: Diagnostics; acute and chronic Pain management; Safeguarding Health for preventing Uncommunicable Diseases; Life-threatening & Terminal Diseases; Optimize Post-op, Follow-up & Hospital Stay.
It is ur- gent to create tools for sharing biomedical and clinical research data using artificial intelligence applications.
AI methods and techniques are taking on an increasingly important role in supporting elderly and frail people, living either in private homes or protected houses.
Robotics, Assistive Technology, Sensor-based Monitoring Systems, Road Security, Continuous Learning and Navigation Supports for inand-outdoor Systems are the fields where AI may challenge its solutions and contribute to facing the utmost social challenges, such as “prolonging independent living”, “aging well” or “social inclusion”.
AI plays a crucial role in «Positive Computing» (a.k.a. “Computing for Well-Being”) where m-Health, wearable and ambient sensors, Applied Games, Gamification, IoT, and Virtual Reality are synergistically used for the design of systems supporting the development of human potential, the changing of people’s mindset, the improvement of mood and wellness, the early diagnosis of cognitive illness and the cognitive rehabilitation.
In specialized training related to AI and health there are two specular aspects: on one hand, the need to make ICT university students studying Big Data and AI aware on health issues and to prepare them for designing applications in the field; on the other hand, the need to make medical students aware of the current and future impact of AI in their profession by avoiding either its under- or over- evaluation.
EU and Italian institutions will present their initiatives in AI and Health