Generating medical documentation both effectively and efficiently can, at times, be at odds. The world’s “best” models aren’t always those that are most efficient, cost-effective, or environmentally friendly - and vice versa. New research shows that HealAI, our proprietary large language model, is the first to surpass both human scribes and many leading AI models in understanding and summarizing medical conversations. Thanks to rigorous pre-training methods and domain specific data, HealAI accomplishes all of that while remaining efficient, accessible, and environmentally friendly. To learn more about how we’ve trained HealAI and how it performs against leading AI models, check out the paper below! Amazing job Eti, Dong, and the rest of the team! Your work is setting new standards for #healthcareAI Paper: https://lnkd.in/gKewZwcx
Thrilled to share that Dong Yuan and I recently presented a poster on the "A Continued Pretrained LLM Approach for Automatic Medical Note Generation" at NAACL 2024! 🌟🩺 Delving into how advanced language models can enhance the accuracy and efficiency of clinical documentation has been an enlightening journey. A massive shoutout to my amazing team for their unwavering support and collaboration. Here's to smarter, more efficient healthcare solutions! 💡👩⚕️🚀 link to the paper - https://lnkd.in/gaCED29e #HealthcareInnovation #AI #MachineLearning #ClinicalNotes #LLM #FutureOfHealthcare
