{"id":19915,"date":"2025-01-24T00:41:59","date_gmt":"2025-01-24T00:41:59","guid":{"rendered":"http:\/\/scannn.com\/facebook\/how-open-source-ai-is-evolving-healthcare\/"},"modified":"2025-01-24T00:41:59","modified_gmt":"2025-01-24T00:41:59","slug":"how-open-source-ai-is-evolving-healthcare","status":"publish","type":"post","link":"https:\/\/scannn.com\/lv\/how-open-source-ai-is-evolving-healthcare\/","title":{"rendered":"How Open Source AI is Evolving Healthcare"},"content":{"rendered":"


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Open source AI models like Llama are available for free for organizations to use, modify and build on, making this critical technology more accessible than commercial models.\u00a0<\/span><\/p>\n

As a result, open source is enabling important innovations in medical technology, healthcare research and related sectors, helping researchers make crucial advancements to solve intractable problems.\u00a0<\/span><\/p>\n

Developers, researchers and other professionals can download and fine-tune the models on their own devices. That they don\u2019t need to send their data back to the AI model providers strengthens control and security over private health data \u2013 critical factors for highly regulated industries like healthcare. The stakes here are not only scientific but economic, with improved health outcomes across communities <\/span>estimated<\/span><\/a> to add $2.8 trillion to US GDP by 2040.\u00a0\u00a0<\/span><\/p>\n

Here are a few stories from companies who are using Llama\u2019s open source technology to create a healthier future.\u00a0<\/span><\/p>\n

Zauron Labs<\/h2>\n

Zauron Labs\u2019s<\/span><\/a> Guardian AI double-checks radiological imaging exams and reports to find errors, helping to improve healthcare outcomes. \u201cPeople don\u2019t realize that there are around 3 billion medical imaging exams done per year with a 3-5% error rate,\u201d says radiologist Dr. Kal Clark. \u201cThat\u2019s millions of patients.\u201d\u00a0\u00a0<\/span><\/p>\n

When such errors occur, proper treatments can be delayed, illness and suffering can linger, and patients may experience worse long-term health outcomes. Open source AI models have the potential to substantially reduce those errors.<\/span><\/p>\n

\"A<\/a><\/p>\n

\u201cWith Meta\u2019s Llama, we\u2019re able to collaborate with universities and build the Guardian AI tool to double check for errors. It\u2019s like a spell checker for radiologists,\u201d says Dr. Clark, Vice Chair of Informatics at University of Texas Health San Antonio and co-founder of Zauron Labs.\u00a0\u00a0<\/span><\/p>\n

Llama has enabled Zauron Labs to open up development across health systems, so that developers can \u201clayer on\u201d multiple algorithms to check for numerous medical issues at once as part of regular quality and safety exercises, amplifying the tool\u2019s usefulness for patients and practitioners.\u00a0<\/span><\/p>\n

Mendel<\/h2>\n

Mendel\u2019s<\/span><\/a> Hypercube is an AI platform that helps health and science organizations draw insights from patient data using a chat-like tool built on open source AI, including Llama.\u00a0<\/span><\/p>\n

Applications for Hypercube include trial matching and patient cohorting, which are important: around 80% of clinical trials fail to meet their enrollment targets today, slowing the discovery of new treatments. \u201cStudies have shown that it takes hundreds of days to match patients with a clinical trial. Hypercube can do it in one day,\u201d says Dr. Wael Salloum, Founder and Chief Science Officer at Mendel.\u00a0<\/span><\/p>\n

\"A<\/a><\/p>\n

Open source AI gives companies access to what Dr. Salloum calls \u201cbreakthrough technology.\u201d \u201cUsing Meta\u2019s open source AI, Llama, Hypercube allows health care companies to organize their data on their own cloud, creating a secure and searchable knowledge base.\u201d adds Dr. Salloum.<\/span><\/p>\n

With Llama, Mendel\u2019s Hypercube can be used to extract reliable information from patient records at scale.\u00a0\u00a0\u00a0\u00a0<\/span><\/p>\n<\/p><\/div>\n