About Machine Learning in Healthcare, by Skin Analytics
Machine Learning In Healthcare is a podcast by Skin Analytics, a UK-based healthtech company that helps more people survive skin cancer by placing highly accurate, evidence-based AI-powered diagnostic tools into the hands of clinicians.
If you’re a primary care physician, hospital specialist, manager, buyer, insurer, technologist, investor or simply keen to learn about and hear more about this world-changing topic, this podcast is for you! 🎙
www.skin-analytics.com
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/ (https://skin-analytics.com/) Get in touch with Neil: neil@skinanalytics.co.uk (mailto:neil@skinanalytics.co.uk) | Linkedin: www.linkedin.com/in/ndaly/ (https://www.linkedin.com/in/ndaly/)
29 Mar 2020
#007: Building Clinicians' Trust in ML - Part 1
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/ (https://skin-analytics.com/) Get in touch with Neil: neil@skinanalytics.co.uk (mailto:neil@skinanalytics.co.uk) | Linkedin: www.linkedin.com/in/ndaly/ (https://www.linkedin.com/in/ndaly/)
22 Mar 2020
#006: The response to COVID-19
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/ (https://skin-analytics.com/) | Get in touch with Neil: neil@skinanalytics.co.uk (mailto:neil@skinanalytics.co.uk) | Linkedin: www.linkedin.com/in/ndaly/ (https://www.linkedin.com/in/ndaly/)
16 Mar 2020
#005: Causation & Correlation with Artificial Intelligence
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/ (https://skin-analytics.com/) Get in touch with Neil: neil@skinanalytics.co.uk (mailto:neil@skinanalytics.co.uk) | Linkedin: www.linkedin.com/in/ndaly/ (https://www.linkedin.com/in/ndaly/)
8 Mar 2020
#004: Can you move fast and break things with ML in healthcare?
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/ (https://skin-analytics.com/) Get in touch with Neil: neil@skinanalytics.co.uk (mailto:neil@skinanalytics.co.uk) | Linkedin: www.linkedin.com/in/ndaly/ (https://www.linkedin.com/in/ndaly/)
2 Mar 2020
#003: How do you get to the best version of your algorithm?
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 (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/ (https://skin-analytics.com/) Get in touch with Neil: neil@skinanalytics.co.uk (mailto:neil@skinanalytics.co.uk) | Linkedin: www.linkedin.com/in/ndaly/ (https://www.linkedin.com/in/ndaly/)
25 Feb 2020
#002: What is the big impact that machine learning can have in healthcare?
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 2, Neil and James cover a variety of topics, including:
Where the low hanging fruit is for machine learning in healthcare
What the big things are machine learning can achieve in healthcare
The long term future of ML in healthcare
The dream of AI vs the practicality
What is the impact ML is likely to have (the numbers)
The history of deep learning
How to present ML-driven results in a way that clinicians will trust and take action
Visit us at: https://skin-analytics.com/ (https://skin-analytics.com/) Get in touch with Neil: neil@skinanalytics.co.uk (mailto:neil@skinanalytics.co.uk) | Linkedin: www.linkedin.com/in/ndaly/ (https://www.linkedin.com/in/ndaly/)
17 Feb 2020
#001: Why Is Machine Learning So Important In Healthcare?
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 1, Neil and James cover a variety of topics, including:
How the amount of information available to people in medicine has exploded in recent years and how we know so much more about disease processes and epidemiology
The increasing focus on delivering cost-effective care and how ML can help
The shift in focus away from hype towards proof of AI in healthcare
The broad definitions of AI and what we need to see from the system
The latest thinking and actions from the NHS on adopting and funding AI
The big R = regulation
Visit us at: https://skin-analytics.com/ (https://skin-analytics.com/)
Get in touch with Neil: neil@skinanalytics.co.uk (mailto:Neil%20Daly%20%3Cneil%40skinanalytics.co.uk%3E) | Linkedin: www.linkedin.com/in/ndaly/ (https://www.linkedin.com/in/ndaly/)
6 Feb 2020
Trailer: Machine Learning in Healthcare, by Skin Analytics
Machine Learning In Healthcare is a podcast by Skin Analytics, a UK-based healthtech company that helps more people survive skin cancer by placing highly accurate, evidence-based AI-powered diagnostic tools into the hands of clinicians.
We cover the past, present and future of machine learning in healthcare, as well as challenges, opportunities and advice for anyone working in or interested in this awesome sector.
If you’re a primary care physician, hospital specialist, manager, buyer, insurer, technologist, investor or simply keen to learn about and hear more about this world-changing topic, this podcast is for you! 🎙
www.skin-analytics.com (www.skin-analytics.com)
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