Rad AI has partnered with Google Cloud to implement artificial intelligence (AI) tools on the start-up’s radiology platforms.
Google Cloud will provide tools like MedLM, a family of foundation models designed for the healthcare sector, and become Rad AI’s ‘preferred’ cloud provider.
Founded in 2018, Rad AI is developing generative AI reporting to advance radiology workflow. One of its platforms – Rad AI Reporting – uses machine learning algorithms and generative AI (gen AI) to reduce dictation times by up to 50%, according to the company. This platform, along with Rad Omni Impressions, which automatically generates report impressions from dictated findings in a chosen language, will benefit from the partnership. Domain-aligned gen AI models from Google, like MedLM, will be added to the platforms, according to a 16 January press release.
US-based Rad AI stated that the size and complexity of its gen AI models will be increased as a result of the partnership. Rad AI says its platforms collectively care for more than 50 million patients each year. The company raised $25m in Series A financing in 2021, with Google’s AI-focused fund participating in the round.
Gen AI is the talk of the town in the healthcare industry. Implementation of the large language models (LLMs) can alleviate hospital pressures and staff shortages. It is touted as key to solving the current health crisis in the UK, for example. Google Cloud announced new features to its gen AI family in October 2023.
Rad AI follows in the footsteps of Care.AI and Huma, both of whom signed partnerships with Google Cloud in April 2023 and August 2023 respectively.
Google Cloud's Healthcare Strategy & Solutions global director Aashima Gupta said: "Radiology is a field that stands to see immediate, high-value impact from advancements in generative AI, and radiology reporting is an area where this technology can have a meaningful impact."
A 2023 report by GlobalData predicts that global revenue for AI platforms across healthcare will reach $18.8bn by 2027. One of AI’s most widely used applications in healthcare systems has been in radiology. The technology helps automate processes and aids healthcare professionals in daily tasks.
Whilst many big medical device companies explore AI’s use in radiology – such as GE HealthCare and Siemens Healthineers – gen AI’s foundations in healthcare are at a less mature stage. According to experts, the regulatory framework for gen AI is not keeping apace with the surge in innovation.
