Machine Learning in Healthcare, by Skin Analytics Neil Daly

Part 2 - This week, Neil is joined by Fin Edridge, Product Manager at Skin Analytics who builds AI technology into products that have real clinical and health economic value. Neil and Fin cover some key questions around ML in healthcare: Why is trust important? Why do we need GPs to trust our technology?

In order to cut down the number of unnecessary referrals from Primary Care to Secondary Care, we need clinicians to act on the results of our skin assessment when it says that a patient doesn’t need to be referred. Healthcare is delivered by people, for people and trust is at the heart of that. Patients need to trust their clinicians, and clinicians need to trust the tools that they use to deliver quality care for their patients. Machine Learning and AI approaches have been around for many years now, but are still relatively new in healthcare applications -  most clinicians are unfamiliar with them and the growing evidence base for their safe use... 

Visit us at: https://skin-analytics.com/ Get in touch with Neil: neil@skinanalytics.co.uk | Linkedin: www.linkedin.com/in/ndaly/

Part 1 - This week, Neil is joined by Fin Edridge, Product Manager at Skin Analytics who builds AI technology into products that have real clinical and health economic value. Neil and Fin cover some key questions around ML in healthcare: Why is trust important? Why do we need GPs to trust our technology?

In order to cut down the number of unnecessary referrals from Primary Care to Secondary Care, we need clinicians to act on the results of our skin assessment when it says that a patient doesn’t need to be referred. Healthcare is delivered by people, for people and trust is at the heart of that. Patients need to trust their clinicians, and clinicians need to trust the tools that they use to deliver quality care for their patients. Machine Learning and AI approaches have been around for many years now, but are still relatively new in healthcare applications -  most clinicians are unfamiliar with them and the growing evidence base for their safe use...

Visit us at: https://skin-analytics.com/ Get in touch with Neil: neil@skinanalytics.co.uk | Linkedin: www.linkedin.com/in/ndaly/

This week, Neil is joined by Dr. James Somauroo to discuss healthtech's response to COVID-19. Featured this week:


Partnerships and shared learning amongst healthtech companies
How you don't have to be a respiratory solution to help with the pandemic
An optimist's view on the uptake of innovation in healthtech after the pandemic


Visit us at: https://skin-analytics.com/ | Get in touch with Neil: neil@skinanalytics.co.uk | Linkedin: www.linkedin.com/in/ndaly/

This week, Neil is joined by Dr. Jack Greenhalgh, AI director at Skin Analytics to discuss causation and correlation. Featured this week:


The difference between causation and correlation and their relevance when it comes to AI
How death by drowning in swimming pools correlates with movies starring Nicholas Cage and why that's relevant when it comes to understanding machine learning
The risk of overfitting and the best ways to prevent falling into traps
Convolutional neural networks and Jan Le Cun’s tweets!
And again we highlight why prospective studies are so important


Visit us at: https://skin-analytics.com/ Get in touch with Neil: neil@skinanalytics.co.uk | Linkedin: www.linkedin.com/in/ndaly/

This week, Neil is joined by Dr. James Somauroo to discuss disruption in healthcare with technologies like machine learning. Featured this week:


How should we think about innovating in healthcare?
Can you truly disrupt in healthtech?
Why is it necessary/important to integrate into clinical pathways rather than creating new ones?


Visit us at: https://skin-analytics.com/ Get in touch with Neil: neil@skinanalytics.co.uk | Linkedin: www.linkedin.com/in/ndaly/

For the first three episodes of the Machine Learning In Healthcare podcast, Neil is joined by Dr. James Somauroo, Founding Partner at HS.Ventures, to discuss the importance of ML in healthcare. In Part 3, Neil and James cover a variety of topics, including:


The importance of research
How we did the first prospective study using ML and published it in JAMA study: https://bit.ly/2T7y273
Involving and engaging the NHS in ML studies
How do we know our algorithm is any good?
Ethics of diagnosis through AI
The big flaw of ML
Getting an ML solution to market
Rewarding adoption to drive innovation


Visit us at: https://skin-analytics.com/ Get in touch with Neil: neil@skinanalytics.co.uk | Linkedin: www.linkedin.com/in/ndaly/