Introducing MedLM-Medium: Revolutionizing Healthcare with Vertex AI

Tal Peretz

17 Jul 2024 — 1 min read

The healthcare industry is on the brink of transformation with Google's new MedLM models, particularly the MedLM-Medium, now available through the Vertex AI platform. Developed from Google's Med-PaLM 2, these models are fine-tuned specifically for healthcare applications. Here’s an in-depth look at what MedLM-Medium brings to the table.

Models and Availability

MedLM includes two primary models: MedLM-Medium and MedLM-Large. Both are tailored for healthcare and are available to Google Cloud customers in the US, with a preview in selected global markets. These models are designed to handle various healthcare tasks efficiently.

Capabilities and Use Cases

MedLM-Medium stands out for its better throughput and up-to-date data, making it highly scalable. Key use cases include:

Summarizing medical talks
Analyzing pharmaceutical databases
Answering medical questions
Summarizing medical notes
Extracting relevant information from medical texts

While MedLM can assist with administrative tasks like documentation, it is not meant for clinical decision-making or patient advice.

Integration and Tools

MedLM models can be easily accessed using the Vertex AI MedLM API. Additionally, they are integrated with other Google Cloud tools, such as Vertex AI Search for Healthcare, which enhances search capabilities in electronic health record (EHR) data.

Future Developments

Google aims to incorporate Gemini-based models into MedLM, enabling the handling of multimodal data, including radiology images and genomics data. Upcoming features like MedLM for Chest X-ray and a Condition Summary API will further streamline radiology workflows and patient condition summaries.

Responsible Use and Safety

Google advocates for responsible AI use, emphasizing a

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