Google Cloud and the German health giant Bayer have announced a partnership to develop new artificial intelligence tools for radiologists. Bayer will use Google’s cloud computing technology to develop an AI-supported innovation platform focusing on radiological applications. Here are the details…
Google and Bayer to use AI to assist overburdened radiologists
This field assists in diagnosing and treating diseases using medical imaging like CT scans, ultrasounds, and MRIs. The companies hope the platform will help health and science organizations develop large and secure AI tools.
Thomas Kurian, CEO of Google Cloud, states, “Radiologists and other clinical personnel are experiencing burnout due to the workload they face daily. General AI can assist in repetitive tasks and provide insights about large data sets, which can save valuable time and positively impact patient outcomes.”
Salesforce has launched new AI tools designed to reduce the administrative burden on doctors and healthcare workers.
In an interview with CNBC, Kurian explained that the platform could use AI to flag concerning issues in images, compare them with previous scans, and automatically extract a patient’s relevant medical history.
This partnership comes at a time when the industry is facing a workforce shortage. The American College of Radiology (ACR) stated in a blog post in March that government-funded residency programs for new radiologists aren’t meeting the demand to treat an aging population. At that time, ACR had over 1,400 open job positions listed on its job board — a number that has now almost reached 1,800.
The companies said, “Bayer’s platform aims to launch innovative medical imaging tools faster and more cost-effectively.” The first version of the platform is expected to be released in the US and Europe later this year.
The platform will also assist developers in securely analyzing and experimenting with massive amounts of data. Developers will be able to find relevant documents from regulators and scientific papers using AI-supported searches.
Additionally, they can use the platform’s generative AI capabilities to create documents necessary for regulatory approval. The platform can examine field data to identify biases and other insights. What are your thoughts on this partnership? Share your views in the comments section below.
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