Carlos shares his research journey and passion for using AI to solve real healthcare challenges in resource-constrained settings. He discusses the ethical considerations of deploying ML models in healthcare and the importance of building systems that work for everyone, not just privileged populations.

The conversation explores current projects involving diagnostic assistance tools, the challenges of working with limited medical data in developing regions, and innovative approaches to model training and validation. Carlos also discusses his work mentoring students and building AI research capacity in Peru.

"The most impactful AI research addresses real problems for real people. We need to build systems that are not just technically impressive, but genuinely useful and accessible."