In the news this week: A bevy of partnerships to bring artificial intelligence (AI) and machine learning (ML) to medical applications, and more. Keeping pace with news and developments in the real-time analytics market can be a daunting task. We want to help by providing a summary of some of the items our staff came across each week. The use of artificial intelligence (AI) and machine learning (ML) in healthcare and medical diagnosis is perhaps one of the most promising applications of the technology for the public good. Frequently, the main inhibitor to the use of AI in these fields is the lack of internal familiarity with the technology.

Critical Care Suite 2.0 helps bedside staff and radiologists assess Endotracheal Tube (ETT) placement for intubated patients, including critical COVID-19 patients GE Healthcare announced a new artificial intelligence (AI) algorithm to help clinicians assess Endotracheal Tube (ETT) placements, a necessary and important step when ventilating critically ill COVID-19 patients. The AI solution is one of five included in GE Healthcare's Critical Care Suite 2.0, an industry-first collection of AI algorithms embedded on a mobile x-ray device for automated measurements, case prioritization and quality control. Research shows that up to 25 percent of patients intubated outside of the operating room have misplaced ETTs on chest x-rays, which can lead to severe complications for patients, including hyperinflation, pneumothorax, cardiac arrest and death. Moreover, as COVID-19 cases climb, with more than 50 million confirmed worldwide, anywhere from 5-15 percent require intensive care surveillance and intubation for ventilatory support. "Today, clinicians are overwhelmed, experiencing mounting pressure as a result of an ever-increasing number of patients," said Jan Makela, President and CEO, Imaging at GE Healthcare.