Healthcare is no doubt a specialized industry, but here in this post, you will learn about Google’s update regarding the use of artificial intelligence in the healthcare industry. Indeed, Google is one of the leading companies when it comes to the AI revolution. There are competitors, too! Today, I am going to share insights on the most promising venture: the Medical Language Model (MedLM), a powerful tool from Google to revolutionize the healthcare sector.
What is Google’s MedLM?
MedLM is an artificial intelligence model trained to understand and generate medical texts. Unlike traditional language models, MedLM is specifically tailored to understand the complex language of healthcare professionals, such as medical terminology, diagnoses, and treatments.
Indeed, Google is using a ‘narrow’ version of Gemini behind it. In the future, MedLM will be able to suggest potential treatment options. In the last few months, HCA Healthcare has been piloting the MedLM to analyze the use cases before realizing it for the public.
Purposes of Google Health Tool MedLM
Developers want narrow AI tools that make the healthcare process easier, so one by one, Google has been working on different parts of the healthcare industry. First, MedLM can be used to understand diagnosis reports, the last part will be suggesting treatments to the patients. Let’s look at the main purpose of this tool:
Enhances Clinical Workflow
Google is the hub of all information. So, one of the key benefits of MedLM is to streamline clinical workflows. As I have said, it ‘tries’ to accurately interpret medical jargon and synthesize vast amounts of patient data. As a result, now MedLM can be used to assist healthcare providers in making more informed decisions. It saves valuable time and enhances the overall efficiency.
Improves Accuracy in Medical Reports and Documentation
We all know the importance of documentation in the healthcare industry. MedLM can be used to ensure that patient records are accurate because manual documentation can be time-consuming. You can use automated documentation solutions to understand/ generate medical text for clinical notes. It makes the process less time-consuming and reduces the burden on healthcare professionals.
Provides the Benefits of Telemedicine
Even in the insurance industry, the rise of telemedicine has transformed the buyer’s perspective. MedLM can be used to access medical services from the comfort of your home. The natural language processing (also used in Gemini) capabilities offer real-time transcription of virtual consultations. It can be an affordable option for minor diseases.
Ensures Data Privacy and Security
Indeed, we can raise questions on the increasing digitization of healthcare data! No doubt, there can be concerns about the privacy and security of these data. As a centralized (unlike blockchain) system, there can be an issue, so Google has taken proactive measures to implement security protocols. Google developers believe MedLM is designed following strict data privacy regulations that keep the information safe.
Fine-Tuning Models for the Medical Domain
When it comes to fine-tuning, Google wants its product to be perfect in advanced reasoning, context comprehension, and multimodal processing. On a recent blog, Google claimed that MedLM has achieved remarkable results on benchmarks such as the U.S. Medical Licensing Exam (USMLE)-style questions with an accuracy rate of 91.1%. Yes, it’s impressive! We can expect it from Google’s products.
Google uses the multimodal capabilities of Gemini to fine-tune MedLM in case of diagnosis, such as interpretation of chest X-ray images and genomic data. Encouragingly, preliminary findings indicate promising outcomes! It proves a significant advancement in report generation for 2D and 3D medical images as well.
Personalized Health Enhancement with Fitbit
Google is collaborating with Fitbit to develop a Personal Health Large Language Model (LLM). Such a tool will help the users with personalized health and wellness insights. On the other hand, Google can use the data to train their LLM. Built on the Gemini architecture, a version of the Fitbit app will help to receive actionable guidance based on analyses of your sleep patterns, fitness goals, and physiological indicators.
AMIE: AI System for Diagnostic Medical Reasoning and Conversations
Generative AI isn’t just a futuristic concept! Google’s latest innovation, AMIE (Articulate Medical Intelligence Explorer), is ready to bridge the gap between AI and clinical practice. AMIE shows remarkable diagnostic accuracy and explanations in the medical field. However, the aim of this tool is not to replace doctors and medical professionals- it is simply impossible! The focus is to make the diagnosis accurate by streamlining the process/experience of both clinicians and patients.
From improving diagnostic accuracy to enhancing patient outcomes, the possibilities are endless. As we embrace the future of healthcare, MedLM is ready to revolutionize the way we deliver and receive medical services. With ongoing research and development, Google aims to train MedLM properly and you can think the unthinkable from Google.
Rito is a professional technical and SEO content writer with ten years of industry experience. You can expect valuable and well-researched blogs on this website that meet your needs. If you are looking for a digital marketer or technical content writer, feel free to connect with him on social platforms.