Machine learning tools can analyze certain types of retinal images to identify Alzheimer’s disease in symptomatic individuals, according to a study published in the British Journal of...
As big data analytics technologies continue to move from research labs to clinical settings, organizations are increasingly leveraging these tools to design more comprehensive cancer...
A machine learning tool was able to detect COVID-19 in x-ray images about ten times faster and one to six percent more accurately than specialized thoracic radiologists, according to a study published...
Among the many possible applications of artificial intelligence and machine learning in healthcare, medical imaging is perhaps the most promising.
When used to decode the complicated nature of MRIs, CT scans, and other testing modalities,...
A machine learning algorithm accurately determined how well skin cancer patients would respond to tumor-suppressing drugs in four out of five cases, according to research conducted by a team from NYU...
Combining formal instruction with practical problem-solving for fourth-year residents could accelerate the use of artificial intelligence in radiology, according to a report published in Radiology:...
Mayo Clinic and Google Health have announced a partnership to develop artificial intelligence that can help accelerate the process of planning radiotherapy treatments, leading to more efficient cancer...
Applying a deep learning model to standard CT scans could generate higher-quality images, enabling providers to extract better insights and improve diagnosis, according to a study published in...
Combining a deep learning model with medical imaging techniques could help determine the best treatment options for patients with non-small cell lung cancer, according to a study published in Nature...
A team at the Perelman School of Medicine at the University of Pennsylvania will leverage artificial intelligence to find patterns in genetic, imaging, and clinical data from over 60,000...
A $3.2 million grant from NIH will support researchers in using artificial intelligence to improve outcomes for heart transplant patients.
Researchers from the Perelman School of Medicine at the...
Researchers from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) have developed a machine learning tool that can detect the severity of excess fluid in patients’ lungs...
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.
For more coronavirus updates, visit...
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...
