 Welcome to the AI for Good Global Summit. I'm joined now by Manuel Marina Reyes, who's the cardiologist and is founder of the HealthTech Out of End. And your idea is digitizing basically the diagnosis. Tell me about that. That's it. Thank you. The idea, when we started with the research in 2014 in a research institution, the Spanish Cali vascular Research Center, we were trying to create machine learning algorithms and to write code to partially automate what doctors are doing when dealing with electrocariograms, when dealing with the analysis of the ECG. Today is almost 1 million hours a day of doctors that are diagnosing through these complementary tests. And it's the starting point of the cardiology checkup. So anytime there is a cardiovascular problem or as you are suspecting a cardiovascular disease, you are trying to analyze those electrocariograms. So we were doing research, and in 2018 we decided to create a product and a startup, a HealthTech company based in Madrid and now hiring all over the world to just do that. Now it's not a desktop software. It was at the beginning. Now it's a cloud-based infrastructure where artificial intelligence is getting electrocariograms through an API, which is the door where you can enter platforms and processing those data, reaching cardiology-level accuracy. And that was the challenge. And then sending the electrocities back to support those doctors in that process. When we talk about AI for good, patients will want to meet you in person, right? They don't want to do this remotely. Yeah, the reality is at the beginning, patients prefer the human contact and a real doctor on the loop. And many of those setups are like this. So you have the software that is automating the repetitive task that is triaging the cardiac patterns, finding the ones that are clinically relevant for a doctor, and the doctor is spending the time treating the patient, speaking to the patient, understanding what the patient needs and being more empathic with the patient. But today, doctors are overwhelmed by the amount of data they have to process. The world is recording more and more electrocariograms. It's a complement that is growing 12% a year. So more and more electrocariograms are being analyzed every single year. And what we as doctors need is to find the diagnosis. At the end, any test in medicine is to find what is happening in that concrete patient and how can I treat it. The time you need to analyze this complementary test is just time that today we are obliged to spend and to be accurate on that one. But software solutions and technology are evolving. And AI, this is the power of AI. It has the ability to analyze massive amount of data from one patient and then to give you an indication or a clinical decision support system on where the disease is, on what the disease looks like so you can treat it and then you can solve the problem to the patient. Isn't there also the issue of data security because this is all going on the cloud? Yeah. To do so, of course, you need ISO standards which are cloud security, GDPR compliance. There is a lot of challenges. And the problem in a startup like us is that when it's a health tech startup in health, you need to become a very professionalized project with a lot of standards and a lot of quality system, trustability of the patient since the beginning. Otherwise, it's impossible to reach the health care systems in different countries. Now we are live in more than 30 countries. So to do so, you need to be a very structured project almost since the beginning. Now AI health is advancing rapidly. Remote treatment is rising enormously. Where do you see AI developments in the long term in your field? In health care, I think on the short term, AI is real. AI is happening and AI is adding value currently to the doctors, to the patients, and to health care systems. We have some projects where we are reducing the waiting lease from three months to less than five minutes. That's why digitizing the diagnosis looks like. Like the patient is waiting for three months until they get the diagnosis. And now that you can do that in less than five minutes. The average time is 4.3 minutes in those projects. We have other projects where we are reducing false positive diagnosis by 98%. This is the reduction of the workload of doctors by 98%. So those kind of software that are able to manage massive amount of data in a concrete use case, because we are just doing electrocariograms, can have a clear value proposition today for the health care system and for those doctors and those patients. On the long term, I think AI is going to change the way we work. With doctors, we are doing 40% of our work in a daily basis to do repetitive tasks, administrative tasks sometimes. And AI is kind of a software as a service solution or what I like to call a platform as a medical device. And those things, those kind of code and software solutions allows you to automate or partially automate all those repetitive tasks that are generating burnout in the doctors, that are generating all those inefficiencies in many health care systems that are not allowing us to standardize the way care is provided depending on where you were born. And this is why I truly believe and I see that in a very tangible way, you know, the project that we have ongoing, that this is real, this is happening and this can have a massive impact on the way we move onto the health care space and the way health care is gonna evolve to reduce certain cardiac arrest, heart attacks and all the massive problems that are impacting all the goals that we have in this agenda of the United Nations agenda for 2030. Manuel Marina Brez, co-founder of the HealthTech Idoven and a cardiologist. Really interesting, we'll be hearing a lot more about this in the future, I'm sure. So thank you very much. Thank you very much for the invitation. And we'll have much more on AI for Goods from the Global Summit right here. So do stay tuned.