Companies developing machine-learning solutions for medical imaging have received more than $1.2 billion in capital investments since 2014, according to a report by Signify Research.
As the use of digital health tools continues to grow, developers will be expected to prove how the technology can benefit the healthcare industry, according to a new HIMSS report.
Researchers have trained an AI algorithm to identify and locate radius and ulna fractures on wrist radiographs with 98 percent sensitivity and 73 percent specificity, on a per study basis. Their findings were published in the Radiological Society of North America’s new journal Radiology: Artificial Intelligence.
In an effort to understand the ongoing physician burnout crisis, Lightning Bolt Solutions, a company that offers AI-based, physician shift scheduling technology, is attempting to study one million physician shift hours.
Researchers at the University of Southern California Viterbi School of Engineering have utilized machine learning to detect clusters of potential biomarkers of Alzheimer’s disease. This will allow for earlier diagnosis and could potentially lead to non-invasive methods of tracking the progression of the disease in impacted patients. Findings were published in the journalFrontiers in Aging NeuroScience.
GIBLIB, an Los Angeles-based streaming media platform, has launched a virtual reality (VR) app that provides an immersive operating room (OR) experience to medical students and physicians.
As AI systems leave laboratories and are implemented in real world settings, bias will continue to be “an increasingly widespread problem.” So how can it be solved?
More than 40 percent of hospitals and other healthcare providers believe 3M’s $1 billion acquisition of M*Modal will have an overall positive impact in the market, according to a survey by Reaction Data.
Clearwater Compliance and Digital Reasoning have announced a three-year “Cyber Risk Services” partnership enabling providers to understand the results of AI-powered solutions, using a cybersecurity and HIPAA compliance program.
British clinical AI company Sensyne Health and the University of Oxford’s Big Data Institute are partnering to establish a research alliance focused on using AI and digital technology to better understand chronic diseases.
