To ensure the safe and effective use of artificial intelligence in healthcare, researchers and developers will need to work to eliminate bias in these tools, according to a perspective paper by...
Artificial intelligence software and a brain-computer interface (BCI) device have enabled a man with full-body paralysis to communicate by text at a rate of 18 words per minute,...
Using predictive analytics and X-ray imaging data, an artificial intelligence computer program predicted which COVID-19 patients would develop life-threatening medical issues within four days with up...
Over the past year, data analytics resources have become essential tools for organizations and policymakers seeking to enhance their population health efforts – even more so than before the...
Using deep learning, radiologists could more accurately evaluate lung cancer types on CT scans and improve treatment plans, according to a study published in the Journal of Medical Imaging.
The...
Researchers at the University of California San Diego have developed an artificial intelligence algorithm that can help robots better navigate the ED.
The team has also developed a dataset of...
Machine learning can measure unconsciousness in patients under anesthesia, allowing anesthesiologists to optimize drug doses, according to a study published in PLOS One.
Anesthetic drugs act on the...
A predictive analytics model can forecast where disease will spread from an outbreak, in what patterns, and how quickly, according to a study published in Proceedings of the National Academy of...
In order for artificial intelligence to act as a public health tool after COVID-19, policymakers will need to increase training and validation of these solutions, as well as enhance data governance and...
The University of Utah (the U) has partnered with ARUP Laboratories and Techcyte Inc. to develop NanoSpot.AI, a quick and simple COVID-19 antibody test fueled by artificial intelligence.
NanoSpot.AI...
CMS has announced ClosedLoop.ai as the winner and Geisinger as the runner-up in its Artificial Intelligence Health Outcomes Challenge, a multi-stage competition that began in 2019.
The AI Health...
Using machine learning, clinicians may be able to choose which imaging test to use for patients who may have coronary artery disease, a condition caused by plaque buildup in the arterial wall.
Yale...
Machine learning can quickly analyze EHR data to identify chronic kidney disease, a condition which often goes undetected until it causes irreversible damage, a study published in npj Digital Medicine...
Suicide risk prediction models that perform well in the general population may not be as accurate for Black, American Indian, and Alaska Native people, potentially worsening ethnic and racial...
A mobile app was able to distinguish toddlers diagnosed with autism spectrum disorder using machine learning, indicating that the technology could someday serve as a scalable early screening tool.
In...
Researchers from Michigan Medicine have developed a predictive analytics model that can accurately identify patient deterioration for both general ward and COVID-19 patients.
The algorithm was more...
To ensure quality care delivery, patients must be active participants in their own health and well-being. Patient engagement is a critical part of the healthcare industry, and it’s essential for...
Researchers from Michigan Medicine have developed a predictive analytics tool that can help identify pulmonary arterial hypertension, a condition that causes blocked or destroyed blood vessels in the...
A machine learning algorithm could help public health officials identify COVID-19-related conspiracy theories on social media, potentially reducing the spread of misinformation online, a study...
NorthShore University HealthSystem has launched a system-wide genomics program that will leverage predictive analytics to improve care for hereditary cancer, cardiovascular diseases, and rare...
