Introducing MedLM-Medium: Revolutionizing Healthcare with Vertex AI
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
