While the potential for big data analytics in healthcare has been well-documented in countless studies, the possible risks that could come from using these tools have received just as much...
A predictive analytics method was able to detect with 90 percent accuracy which stage 0 breast cancers are likely to spread and recur, according to a study published in the American Journal of...
Researchers at the University of Iowa (UI) have received a $1 million grant from the National Science Foundation (NSF) to develop a machine learning platform to train algorithms with data from around...
An artificial intelligence algorithm can detect subtle signs of osteoarthritis in MRI scans, years before symptoms of the condition even begin.
Researchers at University of Pittsburgh School of...
A deep learning system was able to choose the most high-quality embryos for in-vitro fertilization (IVF) with 90 percent accuracy, according to a study published in eLife.
When compared with trained...
Using a limited amount of data and basic feature engineering, a predictive analytics model could effectively reduce the rate of MRI appointment no-shows, according to a study published in the American...
A machine learning approach can analyze placenta slides and inform more women of their health risks in future pregnancies, leading to lower healthcare costs and better outcomes, according to a study...
Throughout the COVID-19 pandemic, artificial intelligence tools have played a significant role in tracking, controlling, and predicting the spread of the virus.
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The Department of Defense’s (DoD) Defense Innovation Unit (DIU) is leveraging artificial intelligence tools and the department’s vast amount of medical data to identify cancers and other...
Deep learning tools were able to identify COVID-19 in chest CT scans, indicating that artificial intelligence could enhance diagnosis of the virus, according to a study published in Nature...
With nearly every healthcare organization working to better manage and stop the spread of COVID-19, many have turned to medical imaging and imaging analytics tools to improve detection and prevention...
NIH is funding a project that will use artificial intelligence to identify children at risk of Multisystem Inflammatory Syndrome in Children (MIS-C), an illness believed to be a severe complication of...
An artificial intelligence algorithm was able to identify prostate cancer from tissue slides significantly more accurately than expert pathologists and previous algorithms, according to a study...
NIH has launched the Medical Imaging and Data Resource Center (MIDRC), which will utilize artificial intelligence and medical imaging to enhance COVID-19 detection and treatment.
For more coronavirus...
A new technique enables clinicians to train machine learning models while preserving patient data privacy and could advance the field of brain imaging, according to a study published in Scientific...
Despite the promise of artificial intelligence in medical imaging, the FDA currently cannot ensure the safety and efficacy of automated AI in the imaging field, according to comments from the American...
The potential for artificial intelligence to advance medical imaging and radiology has been well-documented in healthcare research.
From earlier detection and more accurate assessments, to less...
An innovative imaging analytics method helped researchers categorize subgroups of schizophrenia patients using functional magnetic resonance imaging (fMRI) data, according to a study published in...
Researchers at Stanford University have developed a machine learning tool that can improve the interpretation of CT lung cancer images and determine the severity of the disease.
Lung cancer is the...
Artificial intelligence has the potential to enhance the role of chest imaging and leverage large-scale data to quickly find solutions for detecting, containing, and treating COVID-19, according to a...
