Only 51% of consumers feel optimistic or safe when it comes to AI infiltrating the healthcare space in the form of helping providers in diagnostic decision making and care management, according to a recent survey from Blumberg Capital.
Machine learning can accurately predict which patients will not live beyond 30 days after discharge from the ER, giving these patients time to discuss end-of-life care with family members and hospice professionals.
If IBM’s Watson goes down as an early failure of AI in healthcare, the fumble may be recorded as an unforced error made by humans who were determined to position the company as the first serious player on the field.
Patients whose blood glucose levels spike during surgery are at heightened risk for poor overall outcomes. A new AI tool has proven effective at predicting, prior to surgery, which patients will have the problem while under the knife.
A robotic animal companion has been making the rounds at the University of Nebraska Medical Center, where a pediatric patient in intensive care is recovering from multiple organ transplants.
Healthcare leaders working for provider organizations and medical societies see AI as the best emerging technology for reducing risk. Meanwhile they see online media as the riskiest technology.
Colorado’s UCHealth system has extended the reach of “Livi,” an AI-powered virtual assistant it introduced early this year, from its website to patients’ smart speakers.
AI, blockchain and mHealth apps specific to Big Data are among eight emerging technologies healthcare watchers would do well to keep an eye on, according to a consumer-friendly roundup published Aug. 7 in the Santa Clarita Valley Signal.
An attentive mechanical walking aid developed at Columbia University can help correct the gait of people who are unsure on their feet due to motor-skills challenges. In the process, the cane-like device may also reduce the risk of falls.
Only half of hospital leaders are conversant in AI and robotic process automation (RPA) technologies aimed at achieving nonclinical efficiencies. However, 23% want to invest in the technologies today and some 50% say they’ll do so by 2021.
