CogX London 2018 : Impact of AI in Healthcare

March 8, 2018

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CognitionX brings together the world leading data experts, software developers, platform vendors, researchers, hardware providers and businesses looking to apply data-driven techniques to their organisation. We do this through a combination of in person events, executive dinners and our online platform. We welcome you to apply to join, learn share, network with each other, build you own profile, promote yourself and even hire your perfect team.


Our mission is to democratise access to data science and AI techniques by organising all the information about the industry and best practice, and make it universally accessible and useful. This will empower everyone from startups, to governments, to enterprises – even individuals – to access and rapidly apply AI and data science techniques to their organisations.


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Impact of AI in Healthcare Panel | CogX17


Healthcare has been the hottest area for investment in AI, with 270 deals made since 2012. An ageing population, increasing demand and rising drug costs has meant that many areas within the industry are changing and developing because of AI, which is making unimaginable innovation possible.


Not only has AI improved disease diagnosis, AI is also speeding up drug discovery processes, improving clinical trial efficiency, personalising treatment plans and improving access to affordable healthcare.


The panel discusses how data on patients, treatments and drugs can best be gathered from multiple health providers and normalised for analysis while maintaining privacy. Where are these innovations taking place in each area? How can qualified medical professionals be kept up to date in a faster and faster changing world? Will AI ultimately enable a better quality of life? 


Watch the Cog X 2017 panel to discover the world of AI and Healthcare.



For two days in June 2017, 1,500 attendees and 120 speakers came together for CogX London 2017, exploring the impact of AI on government, industry and society.


Our inaugural CogX annual innovation exchange and awards successfully drew together vendors, policymakers and investors to improve understanding of the state of AI and some of the major issues surrounding it. Feedback was overwhelmingly positive.


Impact of AI in Healthcare Panel Speakers -


Dominic King
Dr. Jack Kreindler
Maxine Mackintosh
Jérôme Pesenti
Dr. Kenji Takeda
Esther Dyson


The specific use cases of AI in Healthcare


The specific use cases of AI in healthcare can be categorised into diagnostics, treatment, and business/administration. Accenture estimates that AI will add more than $100bn to the industry by 2035.


How is this technology being deployed across the industry? Adoption is high: about 86% of US healthcare provider organisations, life science companies, and technology vendors are currently using artificial intelligence technology (according to Tata Consultancy Services).


“Robots could give prompt, evidence-based care; clinicians would get to spend much more time with their patients because they wouldn’t have to fill in discharge letters leading to more prompt effective care. Safety incidents would move below the 10% rate that hasn’t budged in the last 15 years.”

Dr Dominic King (Senior Clinician Scientist, Google DeepMind)


“The most progress, at least in research, is in imaging. If you move outside healthcare, a lot of early progress was also in image analysis. Radiologists and pathologists are going to deal with the fact that in the next few years there will be algorithms that are at least as good as them at reporting.”

Dr. Jack Kreindler (Founder of Centre for Health and Human Performance)


“What’s great about some AI is that it can replace the boring parts of the doctor’s work – the diagnosis and the paperwork and the workflow we’ve talked about. Ideally, it frees up the doctor to then talk to the patient.”

Esther Dyson (Founder of HICCUP & Way to Wellville)


“I think there’s a degree to which the world of data science has become a cross-cutting theme through which you can break down these very traditional medical disciplines, thus allowing us to have a holistic biological systems approach to things.”

Maxine Mackintosh (Co-Founder of One HealthTech)


“If you tell me with 99% confidence it means that you have the chance that one in every 100 gets misdiagnosed. Then the real question is can you accept one person being misdiagnosed for a certain type of disease?”

Loizos Markides (Manager, Accenture Analytics)


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