YouTube Video
Neomed → https://g.dev/cloud/neomed
Google for Startups Accelerator → https://g.dev/cloud/accelerator
Who's actually out there solving real, life-or-death problems with AI?
In this episode of The Agent Factory, host Luke Schlangen sits down with Bruno Farias de Souza, Co-Founder and Chief Product Officer of Neomed — a Brazilian healthtech startup using AI to optimize diagnostic imaging and cardiovascular data analysis. Bruno explains why AI won't replace physicians but will amplify them, how Neomed's machine learning models screen 150,000+ EKGs a month in under 7 seconds, and why "moving slow" is actually the fastest way to build trust — and save lives — in healthcare. They dig into false positives vs. false negatives, why wearables aren't as powerful as your regular blood test or EKG, and how Google for Startups credits and mentorship helped keep Neomed alive through COVID.
Chapters:
0:00 - Intro
1:12 - Meet Bruno Farias de Souza, Co-Founder of Neomed
1:51 - Can AI replace a cardiologist's intuition?
3:50 - How AI screening catches disease earlier
6:50 - False positives vs. false negatives
9:20 - The "black box" problem: how do you trust AI diagnoses?
11:02 - Inside Neomed's AI: reading a real EKG report
14:09 - Democratizing medical expertise for physicians
17:51 - Under the hood: machine learning vs. LLMs
19:36 - Why speed matters: "time is muscle"
21:18 - Why healthcare still runs on legacy, on-prem tech
23:26 - Scaling to 150,000+ exams a month
24:25 - Moving slow to move fast: earning physician trust
27:27 - The real-world impact: years of life saved
30:11 - Rapid fire round
38:21 - Google for Startups shoutout & closing thoughts
Watch more The Agent Factory → https://goo.gle/AgentFactory
🔔 Subscribe to Google Cloud Tech → https://goo.gle/GoogleCloudTech
#GoogleCloud #TheAgentFactory #AIinHealthcare #ArtificialIntelligence #Neomed #GoogleForStartups
Speakers:
Luke Schlangen (Host)
Bruno Farias de Souza, Co-Founder & Chief Product Officer, Neomed (Guest)
Products Mentioned:
Google Cloud, Gemini Enterprise, TensorFlow, Gemini, Google for Startups
Google for Startups Accelerator → https://g.dev/cloud/accelerator
Who's actually out there solving real, life-or-death problems with AI?
In this episode of The Agent Factory, host Luke Schlangen sits down with Bruno Farias de Souza, Co-Founder and Chief Product Officer of Neomed — a Brazilian healthtech startup using AI to optimize diagnostic imaging and cardiovascular data analysis. Bruno explains why AI won't replace physicians but will amplify them, how Neomed's machine learning models screen 150,000+ EKGs a month in under 7 seconds, and why "moving slow" is actually the fastest way to build trust — and save lives — in healthcare. They dig into false positives vs. false negatives, why wearables aren't as powerful as your regular blood test or EKG, and how Google for Startups credits and mentorship helped keep Neomed alive through COVID.
Chapters:
0:00 - Intro
1:12 - Meet Bruno Farias de Souza, Co-Founder of Neomed
1:51 - Can AI replace a cardiologist's intuition?
3:50 - How AI screening catches disease earlier
6:50 - False positives vs. false negatives
9:20 - The "black box" problem: how do you trust AI diagnoses?
11:02 - Inside Neomed's AI: reading a real EKG report
14:09 - Democratizing medical expertise for physicians
17:51 - Under the hood: machine learning vs. LLMs
19:36 - Why speed matters: "time is muscle"
21:18 - Why healthcare still runs on legacy, on-prem tech
23:26 - Scaling to 150,000+ exams a month
24:25 - Moving slow to move fast: earning physician trust
27:27 - The real-world impact: years of life saved
30:11 - Rapid fire round
38:21 - Google for Startups shoutout & closing thoughts
Watch more The Agent Factory → https://goo.gle/AgentFactory
🔔 Subscribe to Google Cloud Tech → https://goo.gle/GoogleCloudTech
#GoogleCloud #TheAgentFactory #AIinHealthcare #ArtificialIntelligence #Neomed #GoogleForStartups
Speakers:
Luke Schlangen (Host)
Bruno Farias de Souza, Co-Founder & Chief Product Officer, Neomed (Guest)
Products Mentioned:
Google Cloud, Gemini Enterprise, TensorFlow, Gemini, Google for Startups
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