China Medical University Hospital (CMUH) in Taiwan announced its collaboration with Google Cloud in mid-December 2023. Using Google Cloud’s generative AI technology, including MedLM, which is a large language model built on Med-PaLM 2, CMUH has developed a comprehensive “AI-assisted Physician” system which aims to assist healthcare professionals in disease diagnosis, treatment planning, patient education, and medical research, etc.

The collaboration between CMUH and Google Cloud will introduce assistive tools designed to support medical professionals in precision cancer treatment. These tools, including “Customized Cancer Treatment Guidelines” and “Cancer Therapy Q&As,” aim to reduce the time spent searching for information and enable the quick capture of accurate data. This can aid professionals in developing cancer treatment plans, offering personalized treatment-related information to patients, and providing responses to patient health education inquiries.

CMUH is one of the first university hospitals in Asia to test MedLM. Through its collaboration with Google Cloud, CMUH is dedicated to driving AI innovation in smart healthcare to shape the future of healthcare in Taiwan.

MedLM will help facilitate CMUH in the timely access of accurate medical information to establish the best Healthcare AI models for the Chinese-speaking market in Asia.

Prof. Der-Yang Cho, Superintendent of CMUH, pointed out that MedLM is advanced in its ability to provide precise and rapid data analysis for drug guidelines, disease gene sequencing, and medical records, among other areas. Such capabilities can significantly accelerate the discovery of new treatments for difficult-to-treat diseases by medical teams and assist in the rapid development of treatment plans to help patients. “We are excited about this collaboration, which positions smart hospitals in Taiwan at the forefront of providing more precision- and safety-oriented support to healthcare professionals and patients alike,” Prof. Der-Yang Cho said.

CMUH was already recognized as the world’s third smart hospital by the US. Healthcare Information and Management Systems Society (HIMSS) in their 2022 Digital Health Indicator (DHI) ranking. Additionally, Newsweek named CMUH as one of the World’s Best Hospitals for 2023 and one of the World’s Best Smart Hospitals for 2024. With its widespread recognition, CMUH is deeply committed to advancing the diversification and precision of smart healthcare services.

“Life sciences problems are fundamentally data problems, and this is where AI can fully unleash its potential,” said Kathy Lee, Managing Director of Google Cloud, North Asia. “Generative AI solutions from Google Cloud can help healthcare and life sciences organizations operate more efficiently and improve patient outcomes. In this remarkable era of gen AI, we are excited to collaborate with medical industry leaders that drive innovation through AI like CMUH, and partner with them to build the future of healthcare in Taiwan.”

Aashima Gupta, Global Director of Healthcare Strategy and Solutions at Google Cloud, shared that healthcare professionals are committed to delivering the best care for patients, and gen AI can be a crucial ally in reducing their workload. Gupta pointed out that this technology will ease the cognitive burden for staff and improve personal care for patients. Furthermore, it will allow healthcare professionals at CMUH to devote more time to tasks that require human judgment and expertise. She mentioned that ensuring the safety and effectiveness of gen AI is fundamental to these benefits.

Greg Corrado, a Distinguished Scientist and Senior Research Director at Google Research, discussed how MedLM is designed specifically for the healthcare industry and is part of the growing family of gen AI technologies that have the potential to significantly improve the healthcare experience for professionals and patients. Corrado emphasized the importance of collaborating with healthcare institutions like CMUH in testing and implementing new gen AI solutions, underlining it as a critical step towards developing safe and effective AI technologies.