Investor Ideas, Trading Ideas and Stocks to Watch : #AIEye #Podcast Episode 483: GE Healthcare (NYSE: $GE) Announces #AI Solution for ETT Placements and DXC (NYSE: $DXC) Teams with Infinia ML for #MachineLearning Solutions

Wednesday, November 25, 2020

#AIEye #Podcast Episode 483: GE Healthcare (NYSE: $GE) Announces #AI Solution for ETT Placements and DXC (NYSE: $DXC) Teams with Infinia ML for #MachineLearning Solutions

#AIEye #Podcast Episode 483: GE Healthcare (NYSE: $GE) Announces #AI Solution for ETT Placements and DXC (NYSE: $DXC) Teams with Infinia ML for #MachineLearning Solutions

Global AI in Diagnostics Market to Witness CAGR of 35.5% from 2018-2028

Point Roberts WA, Vancouver BC – November 25, 2020 – Investorideas.com (www.investorideas.com), a global investor news source covering Artificial Intelligence (AI) brings you today’s edition of The AI Eye- watching stock news, deal tracker and advancements in artificial intelligence

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Today’s Column- The AI Eye- Watching stock news, deal tracker and advancements in artificial intelligence

Stocks discussed: (NYSE:GE) (NYSE:DXC)

GE Healthcare, the healthcare division of General Electric Company (NYSE:GE), has announced an AI algorithm to help clinicians assess Endotracheal Tube (ETT) placements – something crucial to ventilating critically ill COVID-19 patients – as one of five AI solutions included in GE Healthcare’s Critical Care Suite 2.0. Jan Makela, President and CEO, Imaging at GE Healthcare, commented:

"Today, clinicians are overwhelmed, experiencing mounting pressure as a result of an ever-increasing number of patients. The pandemic has proven what we already knew – that data, AI and connectivity are central to helping those on the front lines deliver intelligently efficient care. GE Healthcare is not only providing new tools to help hospital staff keep up with demand without compromising diagnostic precision, but also leading the way on COVID-era advancements that will have a long-lasting impact on the industry, long after the pandemic ends."

DXC Technology Company (NYSE:DXC) is teaming up with Infinia ML “to further advance machine learning and data analytics to help customers manage and drive stronger performance and value from their IT estates.” This will see Infinia ML’s machine learning capabilities leveraged to automate document processing, boost performance of mission-critical IT systems, guide enterprise decision making, enhance customer service/support, and audit AI systems. Vinod Bagal, executive vice president, DXC, explained:

"Infinia ML has a proven ability to bring machine learning out of the lab and into the real world, and its capabilities align well with the ‘new DXC’, which is focused on our customers and our people. Through advanced machine learning and analytics capabilities, we will deliver new data-driven experiential opportunities, including information-rich teaching and training programs, to improve business impact and performance for our customers and everyone they serve."

Global AI in Diagnostics Market to Witness CAGR of 35.5% from 2018-2028

A report published by Adroit Market Research finds that the global AI in Diagnostics market, which was valued at $336 million in 2019, will exhibit a compound annual growth rate (CAGR) of 35.5 percent in the forecast period 2018 to 2028. An excerpt from the report’s Analyst Commentary section reads:

The increasing quantity of data being processed can affect how images are interpreted by radiologists, i.e. from inference to identification and interpretation. When radiologists examine so many images in a day, the odds of error rise, whereas a radiologist is reduced to a simple "data analyst." AI has the ability to eliminate much of the repetitive diagnosis, characterization, and quantification functions typically conducted by radiologists using cognitive ability and to combine electronic health records with data mining in the process.

The introduction of this AI platform is expected to improve the development of clinical diagnosis by ramping up healthcare facilities internationally, leading to improved patient protection, result monitoring, and data collection.

Sam Mowers, Investorideas.com

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