How do we change the stigma of addition and make sure that people get the help that they need? Executive Director of the Matthew Perry Foundation of Canada, Caitlin Morrison, teaches out how. Thank you for sharing Matthew's story with us.

A huge thank you to Kayla Folo for your help in bringing the story of the Matthew Perry Foundation of Canada to the public.

To learn more about the Matthew Perry Foundation of Canada, please visit their website here.

Key Takeaways:

1. There is an addiction crisis and people need support, but there is not enough of it for those who are struggling.

2. AI allows us to understand more about the brain and help us find real treatments beyond just recovery so that the brain can heal itself naturally.

3. Because of the breakthroughs that AI is making in healthcare, the technology can identify genetic markers in individuals in determining those who are at risk of developing an addiction and constructing an individualized treatment plan.


Comment pouvons-nous de l'addiction et aide ceux qui en ont besoin? La directrice exécutive de la Fondation de Matthew Perry de Canada, Caitlin Morrison, elle nous enseigne. Merci beaucoup en partageant l'histoire de ton frère, Matthew Perry, avec nous.

Merci beaucoup á Kayla Folo pour ton soutien en partageant l'histoire de the Matthew Perry Foundation à la publique.

Pour appendre de the Matthew Perry Foundation of Canada, connectez-vous ici.

Les Principales Conclusions:

1. Il y a une crise de l'addiction et les gens ont besoin de soutien, mais il n'y en a pas assez pour ceux qui luttent.

2. L'IA nous permet de mieux comprendre le cerveau et nous aide à trouver de véritables traitements, au-delà de la simple récupération, afin que le cerveau puisse se guérir naturellement.

3. Au cause aux avancées du IA en la santé publique, la technologie peut identifier des marqueurs genetiques dés personnes en déterminant ceux qui risquent de développer une addiction et en élaborant un plan de traitement individualisé.

How do we advance the citizen and patient voice across health and healthcare while integrating AI into its operations? CEO and Board Advisor For AI and Digital Health Companies, Jon Warner, teaches us how.

To connect with Jon, find him on LinkedIn here.

Key Takeaways:

1. All technology these days is somewhat AI-driven so it is impossible to ignore.

2. Reimbursement drives so much innovation and technologists must understand where the money flows and how it creates workflow.

3. There has to be more effort invested in how to create the framework
to help humanity and not hinder it.

How can we have more constructive conversations around AI healthcare policy? Former Congressman, AI Healthcare Thought Leader, and Vice Chairman of Prime Policy Group, Tom Reed, tells us how.

To connect with Tom, find him on LinkedIn here.

Or, follow Tom on X here.

To learn more about Prime Policy Group, find their page here.

Key Takeaways:

1. Tom's first speech on the House Floor dealt with diabetes and was the Co-Chairman of the House Diabetes Caucus. In conjuction with the technological advancements, diabetes is a personal passion of his because of his family ties and would love to see a cure for the disease.

2. While cost is an important part of healthcare, the question that we should ask is: How do you measure good quality outcomes?

3. Always know your audience and bring a solution to their problem and understand the motivations of the member. Is it to be re-elected etc...Also, the issue should apply to their district or state.

How do we make sure that areas, such as District 14 of Louisiana do not get left behind in the AI healthcare economy? State Representative, Michael Echols, teaches us what can be done.

To learn more about Michael, visit his website here.

For more information on Michael's radio show "Echols at 8", visit the KMLB website here.

Key Takeaways:

1. Michael has always been involved with the local community, serving on non-profit boards and holding public office ranging from city councilman to state representative.

2. Louisiana is currently disjointed in its specialty medical education, but in the next 5-10 years most of the primary care voids will be filled in both the rural and urban markets of the state.

3. The main AI question that needs to be asked is: How do you protect patients' data with HIPAA while aligning fair incentives where insurance companies cannot just use AI to deny claims and figure out core disease states from those claims?

* Please note that this interview is informational and is not meant as an endorsement/support/advocacy.

How are the regulatory landscape and market compliance practiced when determining the safety of AI software that would impact healthcare globally? Digital Health Thought Leader, Rudolf Wagner, tells us how.

To connect with Rudolf, connect with him on LinkedIn here.

Key Takeaways:

1. Germany has a two-fold regulatory environment for software as a medical device. The first is those who produce AI for clinical use, and then what happens in the hospital.

2. When a major situation occurs, there is a change to a more strict regulation.

3. Software is measured in a matter of days and not years and the current regulatory environment needs to get ahead of the market or allow people to be on their own.

How can we "create more capacity to care" with research and development on LLMs in patient-facing medical software? Emergency Medicine Physician and VP of Clinical AI of Fabric, Dr. Jon Pangia, tells us how it can be done.

To connect with Dr. Pangia, please find him on LinkedIn here.

To learn more about Fabric, please visit their website here.

Key Takeaways:
1. Fabric started with the central question of "how we can help healthcare", and then evolved to using digital healthcare as a software service for hospitals to help patients in and through the emergency department with better awareness and follow-up after their visit.

2. If physicians begin experimenting with AI, then there will be more tools to help them become better at their profession.

3. Policymakers should focus on the bad actors instead of writing regulations that will become obsolete in a short amount of time.

How will AI and Digital Therapeutics role affect the Indian Healthcare System? Dr. Manthan Mehta teaches us what to expect.

To connect with Dr. Mehta, connect with him here.

Key Takeaways:

1. Healthcare is not just about curing illnesses, but also about improving the quality of life and where you marry science and empathy.

2. Disease management must be more proactive, personalized, and accessible to support patients in navigating the healthcare system.

3. Physicians play the biggest role in AI Healthcare because they are the gatekeepers and advocates for AI healthcare. AI is a tool for them and they will use those insights and apply them to patient care.

How can you make EHR integration painless? CEO & Co-Founder of Topology Health, Alex Goel, teaches us how it is possible.

To connect with Alex, find him on LinkedIn here.

To learn more about Topology Health, please find more here.

Key Takeaways:

1. Pre-Topology Health, there were not any developer-focused tools for building EHR integration into applications or other health IT systems.

2. Topology Health creates customized solutions for clients in EHR integration based on the data needs while ensuring a use-case-first perspective.

3. Provinces can implement their rules and regulations around the data privacy of Canadians.