Google AI has developed MedLM, a set of foundation models fine-tuned to cater to the healthcare industry’s needs. These models are designed to comprehend medical language and enhance the quality of healthcare services. MedLM’s primary focus is on understanding electronic health records (EHRs) and medical literature, which are often complex and difficult to interpret.
The models are trained on a vast corpus of medical texts, including clinical notes, medical literature, and other healthcare-related documents. This extensive training enables them to understand and generate text in a medical context effectively. They can also be fine-tuned to specific tasks, such as predicting disease progression or identifying relevant information in a patient’s medical history.
Despite MedLM’s potential, Google AI acknowledges the challenges and risks associated with its use. The primary concern is privacy, as the models could inadvertently reveal sensitive patient information. To mitigate this, Google AI ensures that the training data is carefully anonymised and that the models do not remember specific inputs.
Google AI is exploring partnerships with healthcare organisations to further fine-tune and evaluate these models. They plan to make MedLM available to the wider research community, believing it could revolutionise healthcare by improving diagnosis, treatment, and patient care.
Go to source article: https://www.marktechpost.com/2023/12/16/google-ai-introduces-medlm-a-family-of-foundation-models-fine-tuned-for-healthcare-industry-use-cases/