When AI is “raised” successfully, it can begin to do more to help the healthcare enterprise. For instance, AI might support human decision making in a wider variety of areas, such as providing a recommended treatment plan or accepting or rejecting medical claims. In healthcare, this is life or death business

There are many opportunities for AI to develop and become increasingly popular within the consumer market. Every product launch and develop raises the bar for compeitiors in the market. But how much can AI do for the consumer? This panel will look at the future of AI throughout the whole process, from marketing to implementation to using a product daily.

In healthcare, using AI/ML in a personal data trust will enable the fusion and analysis of any individual’s clinical records, including genomics, with physiological data from wearables.
Through effective use of GDPR, individuals can take greater responsibility for their well being and life trajectory. Personalised recommendations, including social prescriptions, can be delivered back to patients of all ages through wearable channels. These can take the form of reminders, behavioural nudges, even metered drug dosages – while raising immediate alerts to any conditions requiring the help of a care professional.

In this session, Atsushi Ishii will talk about the Connectome project and explore the possibility of how VHAs (virtual human agents) can drastically change the existing healthcare operation to be more efficient and user friendly.

Protecting digital systems from malwear is the ultimate goal of cyber security, however no protection can be 100% reliable.
Detection of unusual behaviour is critical to alert users to the affects of cyber attack, and allow them to take early counter measures.
Deep and shallow learning is used in many areas to recognise and characterise behaviour. We present methods and research into ML in digital health and wearable technology that have resource limited computing.

BHF is the biggest independent funder of research into heart and circulatory diseases in the UK. This includes cutting edge scientific research including AI, nanotech, 3d printing and big data. But how do we make sure this research is put into practice?
In this talk, Adrian Baker argues that one of the essential components is ensuring that patients and the public are engaged with these new technologies, and lays out ways policy makers can avoid mistakes of the past.

In a world of increasing interconnectivity and information comes a sea of data. Most of this data ends up being useless. In his presentation, Dr Jacob Skinner draws on the work Thrive Wearables does and on the general trend towards ‘edge of the edge’ processing on extremely resource limited wearable technology products, where data can be sorted and transmitted efficiently at source. What are the implications and benefits of the emerging solutions? What are the consequences for user experience, and who is operating in this space?

Discussing why and how creating human ethnics within a world of AI is a vital part of the process

Waiting times and refferals can become a thing of the past with new AI innovations developing rapidly, But will that mean the clinician will be faded out completely? As healthcare rapidly transitions from software, training systems to doctor chatbots. Will clinicians become a thing of the past? This expert panel will dicuss what the opportunties in AI mean and the future it holds.

There are many misconceptions of what AI and Machine learning (ML) is and how it can impact business effectively. AI/ML is a tool and not a goal and unless it provides evidence led, actionable output is no better than a good spreadsheet. There are places where it can add significant value if used correctly.
This talk provides a quick overview of AI techniques and broadens the scope of where AI can be used to provide business value with demonstrations relative to the audience taken from Research and other industries. It also provides a view on where humans fit with AI.

An AI overview covering the market opportunity with a focus on principals, ethics and how AI can be used for good. Q&A to be made available to explore areas of interest further.