AI News, Guerbet and IBM Watson Health Announce a Second Co ... artificial intelligence
Guerbet will participate in the 75th annual meeting of the American Society for Reproductive Medicine (ASRM).
Keeping an Eye on AI
New tools powered by artificial intelligence are helping healthcare professionals—including those in HTM—provide better care.
In the case of a collapsed lung, according to Katelyn Nye, GE’s general manager of global mobile radiography and artificial intelligence, the technology—dubbed “Critical Care Suite”—can cut the time required for detection from multiple hours to just a few minutes.
One of the algorithms, for example, automatically rotates an incorrectly oriented image into an upright position, while another looks at the image itself to ensure it includes the intended field of view.
“But it’s also something that you don’t want to miss, because if it’s not monitored or treated the lung can continue to collapse.” GE Healthcare’s intention with artificial intelligence is not to negate the need for skilled technologists and physicians who can professionally diagnose when a pneumothorax is present.
As Medicare and other payers offer incentives to health systems for reducing costs and improving outcomes, medical devices infused with AI capabilities promise to make that work a lot easier.
“As technology and science advance, we can expect to see earlier disease detection, more accurate diagnosis, more targeted therapies, and significant improvements in personalized medicine.” In 2018, Gottlieb said, the FDA had approved two notable devices that deployed AI to facilitate image analysis, including one that could be used to detect diabetic retinopathy and another that helps clinicians identify potential strokes.
Clinical Review, according to IBM, is a “retrospective AI-enabled data review tool that helps support a reliable patient record” to facilitate care coordination, while Patient Synopsis is a “radiologist-trained AI tool” that extracts patient information from electronic health records to help radiologists make diagnostic decisions.
“It’s certainly an exciting time in the industry,” Long says, calling artificial intelligence and its impact on imaging “almost revolutionary.” In IBM Watson Health’s case, she explains, they’re investing in two types of AI solutions.
“So that’s where we’re going with artificial intelligence—using it to develop a better tool that guides more accurate, earlier, and appropriate diagnoses” and ultimately leads to more effective interventions.
Similar to the prostate solution, it will automate the detection and tracking of the disease, and it will be compatible with most PACS, “making it easy to be integrated directly into the workflows of healthcare providers,” IBM officials assert.
“If you have a CT scanner, and our system tells us the log data shows that a tube is likely to fail in the next few days, we’ll send you an alert so you know to go check it,” Pandit explains.
What we’re trying to do is reduce that downtime and help you reduce costs—to keep your imaging assets across all of your facilities working and doing what they’re supposed to do.” As of late 2019, Pandit says, Glassbeam has about 40 unique customers with 125 facilities scattered across the country.
“Uptime is especially important in imaging, so that’s where we’re focused right now,” he says, adding that the company also offers an AI solution in utilization analytics that helps radiology and imaging departments with exam analyses.