Google Cloud and German healthcare giant Bayer announced that they are collaborating to develop new artificial intelligence tools for radiologists. Bayer will use Google’s cloud computing technology to develop its AI-powered innovation platform focused on radiology applications. Here are the details…
Google and Bayer will use artificial intelligence to help overworked radiologists
This field helps diagnose and treat diseases using medical imaging such as CT scans, ultrasounds, and MRIs. The companies hope the platform will help healthcare and science organizations develop large and safe AI tools.
Google Cloud CEO Thomas Kurian said: “Radiologists and other clinical staff experience burnout due to the workload they face every day. “Gen AI can assist with repetitive tasks and provide insights into large data sets, saving valuable time and positively impacting patient outcomes.” said.
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In his statement to CNBC, Kurian said that the platform uses artificial intelligence to worrying situations mark, compare with previous scans, and automatically scan a patient’s relevant scans your medical history He stated that he could remove it.
This partnership took place at a time when the industry was experiencing a labor shortage. Government-funded residency programs for new radiologists are not meeting the demand to treat the aging population, the American College of Radiology (ACR) said in a blog post in March. At the time, ACR stated there were more than 1,400 job openings on its job board — a figure that has now reached almost 1,800.
Companies, “Bayer’s platform aims to bring innovative medical imaging tools to market faster and more cost-effectively,” said. The first release of the platform is due later this year. in the USA and Europe will be released.
The platform will also help developers analyze and experiment with massive amounts of data securely. Developers will be able to find relevant documents from regulators and scientific papers using AI-powered search.
It will also be able to use the platform’s generative AI capabilities to generate the documents necessary to gain regulatory approval. The platform will be able to detect biases and other insights by examining field data. What do you think about this partnership? You can write your opinions in the comments section below.