Open source AI models, such as Llama, are increasingly being utilized in the healthcare sector. These models are available for free, allowing organizations to use, modify, and build upon them. This accessibility is fostering innovations in medical technology and healthcare research.

Developers and researchers can download these models and fine-tune them on their own devices without sending data back to the AI model providers. This enhances control and security over private health data, which is crucial for industries like healthcare. Improved health outcomes could potentially add $2.8 trillion to the US GDP by 2040.

Several companies are leveraging Llama's open source technology to advance healthcare solutions:

Zauron Labs has developed Guardian AI to double-check radiological imaging exams for errors. "People don’t realize that there are around 3 billion medical imaging exams done per year with a 3-5% error rate," says Dr. Kal Clark, Vice Chair of Informatics at University of Texas Health San Antonio and co-founder of Zauron Labs. The use of Meta’s Llama allows collaboration with universities to enhance this tool's effectiveness.

Mendel has created Hypercube, an AI platform that aids health organizations in drawing insights from patient data using a chat-like tool built on open source AI, including Llama. "Studies have shown that it takes hundreds of days to match patients with a clinical trial. Hypercube can do it in one day," states Dr. Wael Salloum, Founder and Chief Science Officer at Mendel.

These applications demonstrate how open source AI is contributing to more efficient healthcare processes while maintaining data security.