Google researchers have presented a base of models optimized for the healthcare industry. ConLM, which is currently available in the US. It builds on Google's earlier research in healthcare and medicine, Med-PaLM 2, a medically tailored large language model. MedLM consists of two models that have separate endpoints and provide customers with additional flexibility for their use cases. MedLM works brilliantly for answering medical questions and answers and summaries.
The first model, a larger variant, is designed to handle intricate and complex tasks, while the second, a medium-sized model, offers flexibility for adjustments and scalability in various applications. The models, based on specific healthcare and life sciences requirements, are poised to increase ai adoption in healthcare from basic functions to sophisticated workflows.
Google has collaborated with large organizations: HCA Healthcare, BenchSci, Accenture and Deloitte to employ ConLM for various stages of healthcare, providing better performance and efficiency in existing projects. MedLM in collaboration with HCA Healthcare, where the technology is integrated into the Augmedix platform. The application, powered by MedLM, uses natural language processing to convert conversations between doctor and patient into draft medical notes, complying with health regulations. This automation not only improves performance, but also helps save time, reduce burnout, and improve patient care.
In the preclinical research and development space, BenchSci is leveraging MedLM within its ASCEND platform. The goal is to accelerate drug discovery by improving the speed and quality of preclinical research. ASCEND, an ai-powered evidence engine, collaborates with MedLM to strengthen the identification and classification of biomarkers, thus streamlining the scientific discovery process.
By collaborating with Accenture, Google aims to leverage generative ai to improve patient access, experience and outcomes. By integrating Google Cloud's Claims Acceleration Suite and MedLM, healthcare organizations can discover new insights that ultimately lead to better patient outcomes. By putting MedLM capabilities to the test, Deloitte and Google Cloud aim to simplify the retrieval of information from supplier directories and benefits documents, helping contact center agents identify suitable suppliers based on various criteria.
All projects have shown that the use of MedLM can help the growth of ai in the healthcare and medical industry. Looking ahead, Google Research plans to expand the MedLM suite by incorporating Gemini-based models to offer even more capabilities in the coming months. Collaborative efforts with industry leaders underscore the transformative potential of generative ai in healthcare. As technology advances, Google remains committed to ensuring the safe and responsible use of ai in healthcare, working closely with healthcare professionals, researchers and organizations to drive innovative research in health and life sciences. .
Pragati Jhunjhunwala is a Consulting Intern at MarktechPost. She is currently pursuing B.tech from the Indian Institute of technology (IIT), Kharagpur. She is a technology enthusiast and has a keen interest in the scope of data science software and applications. She is always reading about the advancements in different fields of ai and ML.
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